Gemini 3.1 Pro vs Gemini 2.5 Flash

Hi all,

I'm new to posting on this sub but I have gotten a lot of positive feedback on my build and have been asked to provide a guide.

**Notes:**

* AIOStreams is awesome but it can be challenging/intimidating to set up for beginners. I hope this guide is helpful regardless of your experience level.
* I sometimes say "required" or "optional" but technically everything here is optional. When I say "optional" here, I mean that it doesn't really take too much away from the main aspects of the build to omit it. You could probably figure out ways to replicate much of the build without some of the "required" things but I won't offer guidance on every possible combination/scenario in this guide. Feel free to ask in the comments though.
* All prices are in USD and are current as of posting.

**Key features of my build:**

1. Optimized: Fewer points of failure and increased redundancy without sacrificing performance.
2. Minimalist: Put all of the "heavy lifting" in the background so that I can keep the UX & UI as simple and clean as possible.
3. Aggressive language filtering/sorting for higher probability of getting correct audio & subtitles.
* Note that my build prioritizes English since it is my native language. I provide instructions for changing this.
4. All addons are within AIOStreams to keep everything fully customizable.
5. New approaches I have not found on this sub.

At the core of this build is AIOStreams. To have all of the addons in my build, I use [Midnight's instance](https://aiostreamsfortheweebsstable.midnightignite.me/stremio/configure). This will not be an all-encompassing guide to AIOStreams, just how to replicate my build. If you are unfamiliar with AIOStreams or just getting started, you can find great guides by following that link. However, my hope is that even a beginner could replicate this build using this guide (but may not fully understand AIOStreams in the end).

# Prerequisites

* Required - a willingness to accept that this probably isn't the perfect setup for you and you'll probably want to tweak it.
* Required - Stremio installed and running.
* Required - at least one debrid service.
* I recommend having two for redundancy.
* If it's just for you, I would recommend getting Real-Debrid and/or TorBox.
* If sharing with family/friends, I would recommend Torbox and/or Premiumize as they allow for concurrent streams from different IPs (Real-Debrid does not). This is what I have.
* Required - [TMDB API Key](https://developer.themoviedb.org/docs/getting-started) (free)
* Required - [TVDB API Key](https://www.thetvdb.com/api-information) (free)
* Required - [RPDB API Key](https://ratingposterdb.com/api-key/) (free)
* Required - [Trakt](https://trakt.tv) Account (free)
* Optional - [Debridio](https://debridio.com)
* A great scraper (good backup to Torrentio) and has other features.
* The price is $10/yr but I think it's worth it for most.
* Optional - [Google AI Studio](http://aistudio.google.com) (Gemini) API Key
* It's free (with rate limits) so why not.
* I went ahead and upgraded to Paid Tier 1 so I don't get rate-limited with multiple family members. It's dirt cheap and you get $300 credit for first 90 days (I've used $0.16 this month lol).

Pro tip: have all your API keys easily accessible as you're setting everything up (e.g., in your notes app).

# Getting Started

Head over to Midnight's instance of AIOStreams: [https://aiostreamsfortheweebsstable.midnightignite.me/stremio/configure](https://aiostreamsfortheweebsstable.midnightignite.me/stremio/configure)

Once there, make sure you select "Advanced" setup mode and familiarize yourself with the home page if this is your first time using AIOStreams.

Each section will now follow the tabs on the left (desktop) or top (mobile) of your screen on the AIOStreams website.

# Services

**Step 1:**

Click on the services tab (cloud icon) and select the debrid services you use. For Real-Debrid, TorBox, and Premiumize, this is as simple as pasting your API key found on the respective debrid's website. Here, I select TorBox and Premiumize but you can choose what you like (won't really make a difference).

**Step 2:**

Enter your RPDB, TMDB, and TVDB API keys at the bottom of the page.

# Addons

**Step 1:**

On the services screen, you can select "Next" or click the addons tab which has a puzzle icon to move forward to the addons section.

**Step 2:**

To the right of "Installed" click "Marketplace" so that we can install the addons we want.

**Step 3:**

In no particular order, you can search & install the following scraper addons:

1. Required - Torrentio
* Free - keep default settings.
* This is a popular scraper for torrents (files) to stream and will likely be the main source for files unless it's down.
* I include the other scrapers below for redundancy if torrentio is down or if there is a niche title. Most are free so why not have more options.
2. Required - Comet
* Free - keep default settings.
3. Required - Jackettio
* Free - keep default settings.
4. Required - TorrentGalaxy
* Free - keep default settings.
5. Required - TorrentsDB
* Free - keep default settings.
6. Required - StremThru Torz
* Free - keep default settings.
7. Optional - TorBox Search
* Paid - Requires TorBox API key entered in the "Services" section previously. This is included with all TorBox plans so "free" if you already have the service.
* Good scraper, backups others.
* Keep default settings.
8. Optional - Debridio Scraper
* Paid - Requires that you enter your Debridio API Key. Debridio is a paid service (see details in prereqs above).
* Good scaper, backups others.
* Paste API key, keep default settings.

Note that you can include a free popular scraper MediaFusion but I've had problems with it in this build. With how many scrapers I've already included, it doesn't really add much in my opinion.

**Step 4:**

In the same AIOStreams Marketplace from Step 3, search & install the following list/miscellaneous addons. These are all kinda optional and just really provide lists for the homepage. If you already have your own lists setup, feel free to substitute (also see step 5 if you can't find them in the marketplace). In no particular order:

1. REMOVED - AI Companion (can use Rotten Tomatoes instead maybe, config [here](https://7a82163c306e-rottentomatoes.baby-beamup.club/configure))
* EDIT - I can no longer recommend this addon as it seems like it’s down permanently. I will keep the instructions here in case it comes back online though.
* LLM Provider: select Gemini (OpenAI Compatible)
* LLM Provider API Key: paste your [Google aistudio](http://aistudio.google.com) api key here.
* Preferred search language: your language here (I put English).
* Model name: gemini-2.5-flash-lite (highest rate limits and fast).
* Maximum results: 10 (adjust to your liking)
* Keep default for everything else.
2. RPDB Catalogs
* Keep default.
3. Streaming Catalogs
* Select the services you want. Keep default for everything else.
4. USA TV
* Free - Keep defaults.
5. AI Search
* Paste AI studio API key
* If on a paid AI studio tier, turn off AI Response Caching. Otherwise, probably better to keep checked to avoid hitting rate limits on free tier.
* Paste RPDB api key.
* Language: yours here.
* Gemini Model Name: gemini-flash-latest
* Number of Recommendations: 20 (adjust to your liking)
6. Debridio TV
* Paid
* Paste your debridio api key and select what channels you want.
* Keep defaults for others.

**Step 5:**

AIOStudio addon marketplace doesn't have all stremio addons. However, you can add your own stremio addons by going to the same Marketplace section from steps 3 & 4, scrolling all the way down, and select configure under custom. Then, you paste the manifest url for the addon here (I just keep defaults). Below are the custom addons we'll configure in no particular order:

1. AIOMetadata
* Configure at: [https://aiometadatafortheweebs.midnightignite.me/configure/](https://aiometadatafortheweebs.midnightignite.me/configure/)
* The configuration is pretty straightforward. Add any of the API keys you have and configure the lists/catalogs to your liking.
* Here, I like to include the Gemini API key and integrate my trakt account for nice recs.
* Copy/paste manifest url at the end into the AIOStreams as instructed above.
2. AIOLists
* Configure at: [https://aiolistsfortheweebs.midnightignite.me](https://aiolistsfortheweebs.midnightignite.me)
* Same as AIOMetadata above but this one is easier.
3. IMDB Catalogs
* Configure at: [https://1fe84bc728af-imdb-catalogs.baby-beamup.club/configure](https://1fe84bc728af-imdb-catalogs.baby-beamup.club/configure)
* Just paste your RPDB api key on config site and then paste manifest url into AIOStreams.

**Step 6:**

Sort the lists/catalogs how you prefer. You can toggle individual lists off to hide them from home & discover pages in Stremio.

**Step 7:**

Go to "Installed" and at the bottom of the page, go to Addon Fetching Strategy. Select Dynamic and paste one of the below versions (change the language if non-English):

Version 2.0 (thanks to u/Razzmatazz1414 & u/HeyIntrovert):

This is the most recently updated one, best for most people. It may take slightly longer than V1 on more niche titles (no noticeable difference on new titles).

`((count(cached(regexMatched(resolution(language(quality(totalStreams, 'Bluray REMUX', 'Bluray', 'WEB-DL') 'English') '2160p')))) >= 3 and (count(cached(regexMatched(resolution(totalStreams, '2160p')))) >= 5 or count(cached(regexMatched(resolution(totalStreams, '1080p')))) >= 5) and count(cached(regexMatched(quality(totalStreams, 'Bluray REMUX', 'Bluray', 'WEB-DL', 'WEBRip')))) >= 5) or count(cached(totalStreams)) >= 3 and totalTimeTaken > 7000) or totalTimeTaken > 10000`

Version 2.1:

Use this one if you have a non-English (or English even) language that is not common you want to even more aggressively search for it. It will exhaustively search for your language, meaning if a stream exists with the language, it will find at least one (may not be high quality/resolution though). However, if a stream with your language does not exist, it will keep searching until the timeout condition which means it will take a while. I plan on optimizing this further and making a separate post for our non-English community but I hope this works in the meantime. MAKE SURE TO CHANGE LANGUAGE IF DESIRED.

`(((count(cached(regexMatched(resolution(language(quality(totalStreams, 'Bluray REMUX', 'Bluray', 'WEB-DL') 'English') '2160p')))) >= 3 and (count(cached(regexMatched(resolution(totalStreams, '2160p')))) >= 5 or count(cached(regexMatched(resolution(totalStreams, '1080p')))) >= 5) and count(cached(regexMatched(quality(totalStreams, 'Bluray REMUX', 'Bluray', 'WEB-DL', 'WEBRip')))) >= 5) or count(cached(totalStreams)) >= 3 and totalTimeTaken > 7000) and count(cached(language(totalStreams,'English'))) > 0) or totalTimeTaken > 10000`

Version 1.0:

My original condition. Use this if the above does not work.

`(count(cached(resolution(language(quality(totalStreams, 'Bluray REMUX', 'Bluray', 'WEB-DL', 'WEBRip') 'English') '2160p'))) >= 3 and (count(cached(resolution(totalStreams, '2160p'))) >= 5 or (count(cached(resolution(totalStreams, '2160p'))) > 0 and count(cached(resolution(totalStreams, '1080p'))) >= 5)) and count(cached(quality(totalStreams, 'Bluray REMUX', 'Bluray', 'WEB-DL', 'WEBRip'))) >= 5 and count(cached(language(totalStreams,'English'))) >= 2) or totalTimeTaken > 7000`

This will fire all of the torrent scrapers at once (in parallel) then as soon as there are "enough" files that are "high quality" then all of the searching stops. Often, this just grabs torrentio files and exits immediately. In the end, this makes sure that torrent search is super fast while also being redundant and gets quality streams.

# Filters

These next few sections are the "meat" of the build. Filters is where we tell AIOStreams which streams/files we want to keep/show after searching.

**Step 1:**

Now we move onto the next tab which is filters (funnel icon).

**Step 2:**

In Cache subsection, I like to exclude uncached (this is like excluding RD download). This makes sure I'm just streaming cached files from debrid and I don't have to wait for them to download to debrid.

**Step 3:**

Go to Resolution subsection. I require 2160p through 480p (nothing else with show up).

Select all resolutions in "Preferred Resolutions" then sort to your liking (I do 2160p first to Unknown last).

**Step 4:**

Quality subsection. I exclude CAM, TS, TC, SCR, Unknown.

I setup preferred qualities in the following order: BluRay REMUX, BluRay, WEB-DL, WEBRip, HDRip, HDTV, DVDRip, HC HD-Rip.

**Step 5:**

Encode subsection. I exclude XviD & DivX. I have the preference sorted: AVC, HEVC, AV1, Unknown.

**Step 6:**

Visual tags. Exlcude 3D. My preference order: HDR+DV, DV Only, DV, HDR10+, HDR10, HDR Only, HDR, 10bit, IMAX, SDR, Unknown.

**Step 7:**

Audio tags. My preference order: Atmos, DD+, DD, DTS, DTS-ES, DTS-HD, DTS-HD MA, TrueHD.

**Step 8:**

Language. Adjust this to your liking. My preference order is: English, Multi, Dual Audio, Dubbed, Unknown.

**Step 9:**

Stream Expression. My preference in order is (change language if non-english):

`language(resolution(cached(streams), '2160p'), 'English', 'Multi')`

`language(resolution(cached(streams), '1440p', '1080p'), 'English', 'Multi')`

This lets me put, for example, 1080p content with "for sure" english over 4K content with unknown/other language. This is aggressive and you may want to omit entirely (or change language, of course).

**Step 10:**

Regex. Here I just import Vidhin's regexes as stated on this page. Just go to the bottom of preferred regex patterns, click import, and paste this url: [https://raw.githubusercontent.com/Vidhin05/Releases-Regex/main/merged-anime-regexes.json](https://raw.githubusercontent.com/Vidhin05/Releases-Regex/main/merged-anime-regexes.json)

**Step 11:**

Size. I like to globally cap at 30GB because I find I get buffering over that. Adjust to your liking or omit.

**Step 12:**

Result Limits. I set global limits to 9 and resolution limit to 3. Then I get, for example, 3 4K streams, 3 1080p streams, and 3 720p streams (assuming all exist). This is plenty for me as I've done a lot of work on filtering and sorting and keeps my stream list minimal and simple. Adjust to your liking or omit.

**Step 13:**

Deduplicator. Enable this.

I keep the rest of the settings in the filters section as default.

# Sorting

Here is where we tell AIOStreams how to sort the streams/files found after filtering. This is the order in which they'll be displayed in stremio.

Set sort order type to global and include the following sort criteria: Library, Cached, Stream Expression Matched, Resolution, Language, Quality, Regex Patterns, Visual Tag, Encode, Size, Seeders.

I sort in the order above. This is aggressive with respect to language. Feel free to move language a bit lower if you care less. I found this is a good order for me.

# Formatter

Under Formatter Selection, select Custom. Then, paste this into name template:

`{stream.resolution::exists["{stream.resolution::replace('2160p','4K')}"||"NA"]}{service.cached::isfalse[" Download"||""]}`

Then for description template:

`{stream.seasonEpisode::exists["{stream.seasonEpisode::join('')}{tools.newLine}"||""]}{service.shortName}{service.cached::isfalse[" | ⬇️ {stream.seeders}"||""]}{stream.size::>0[" | {stream.size::bytes}"||""]}{tools.newLine}{stream.languages::exists["{stream.languages::join(', ')}"||"Language Unknown"]}{tools.newLine}{stream.resolution::=2160p::or::stream.resolution::=4K["★★★"||""]}{stream.resolution::=1080p["★★"||""]}{stream.resolution::=720p["★"||""]}{stream.resolution::=2160p::or::stream.resolution::=4K::or::stream.resolution::=1080p::or::stream.resolution::=720p[""||"★"]}{stream.quality::=WEB-DL::or::stream.quality::=BluRay::or::stream.quality::~REMUX["★"||""]}{stream.uLanguageCodes::~EN::or::stream.languageCodes::~EN["★"||""]}`

Here is an example of what it looks like:

https://preview.redd.it/l84vnht3s0bg1.png?width=2868&format=png&auto=webp&s=da9626fa8c4fff3d0557074fa5d9fec0b5da8aa7

I have also been experimenting with replacing the language with quality. Here is the description template for that:

`{stream.seasonEpisode::exists["{stream.seasonEpisode::join('')}{tools.newLine}"||""]}{service.shortName}{service.cached::isfalse[" | ⬇️ {stream.seeders}"||""]}{stream.size::>0[" | {stream.size::bytes}"||""]}{tools.newLine}{stream.quality::exists["{stream.quality}"||""]}{tools.newLine}{stream.resolution::=2160p::or::stream.resolution::=4K["★★★"||""]}{stream.resolution::=1080p["★★"||""]}{stream.resolution::=720p["★"||""]}{stream.resolution::=2160p::or::stream.resolution::=4K::or::stream.resolution::=1080p::or::stream.resolution::=720p[""||"★"]}{stream.quality::=WEB-DL::or::stream.quality::=BluRay::or::stream.quality::~REMUX["★"||""]}{stream.uLanguageCodes::~EN::or::stream.languageCodes::~EN["★"||""]}`

# Proxy

I leave everything as default here.

# Miscellaneous

I just enable pre-cache next episode (just a safety measure) and auto play. Keep everything else as default.

# Save & Install

Create a password and write it down (seriously). Click create and write down your UUID (very seriously). The only way to access/tweak this configuration in the future is via this UUID and Password combo.

Click install and import into Stremio as you normally do with addons!

# Final Notes

Under this build, the only addons I have in Stremio are Cinameta, Local Files, Trakt Integration, OpenSubtitles Pro, and AIOStreams (that we just configured). I personally delete the other addons and also use [this Addon Manager](https://stremio-addon-manager.pages.dev) to remove the popular Cinameta lists (removes from search and home page) and also remove the Trakt lists (we have these elsewhere).

This guide was requested by u/Fwhy_ u/DrZakarySmith u/[Equivalent\_Hawk\_9769](/user/Equivalent_Hawk_9769/) u/[BilgeMongoose](/user/BilgeMongoose/) and others!

Edit: Forgot to add my template to the post, dang! I couldn’t figure out how to get AIOStreams to accept the URL so unfortunately you have to download manually to use it (or copy/paste the json into a text editor for safety). Also idk if it fully works but you can always read the json file. Please let me know if there are problems. [https://drive.proton.me/urls/YYBWZGNXP0#QccY8og0POBf](https://drive.proton.me/urls/YYBWZGNXP0#QccY8og0POBf)

Edit 2: thank you for the amazing feedback, support, and awards! You all are truly who make this community what it is. I’m trying my hardest to respond to everyone’s questions! If I miss you on accident, feel free to DM me!

Source: Moneycontrol \[[Article Link](https://www.moneycontrol.com/news/business/startup/sarvam-ai-launches-30b-and-105b-models-says-105b-outperforms-deepseek-r1-and-gemini-flash-on-key-benchmarks-13834399.html)\]

>Bengaluru-based AI startup just announced the launch of two new large language models, a 30-billion-parameter model and a 105-billion-parameter model, both trained from scratch.

“At 105 billion parameters, on most benchmarks this model beats DeepSeek R1 released a year ago, which was a 600-billion-parameter model."

>“It is cheaper than something like a Gemini Flash, but outperforms it in many benchmarks,” Kumar said.

>On Indian language benchmarks, Kumar said the model delivers stronger performance than several larger competitors.

>“Even with something like Gemini 2.5 Flash, which is a bigger and more expensive model, we find that the Indian language performance of this model is even better.”

Sarvam was earlier announced as the first startup selected to build India’s foundational AI model under the mission.Article LinkBengaluru-based AI startup just announced the launch of two new large language models, a 30-billion-parameter model and a 105-billion-parameter model, both trained from scratch.

“At 105 billion parameters, on most benchmarks this model beats DeepSeek R1 released a year ago, which was a 600-billion-parameter model."It is cheaper than something like a Gemini Flash, but outperforms it in many benchmarks,” Kumar said. On Indian language benchmarks, Kumar said the model delivers stronger performance than several larger competitors. “Even with something like Gemini 2.5 Flash, which is a bigger and more expensive model, we find that the Indian language performance of this model is even better.”

Sarvam was earlier announced as the first startup selected to build India’s foundational AI model under the mission.

Playing around with Gemini 2.5 Flash Image (sorry, not calling it that other name) just now, I felt like Oppenheimer staring at the fireball. Such an enormity of new power, so suddenly.

The masturbators of tomorrow will marvel that people were once limited to non-customized pornography.

Seriously, I think this changes everything.

It is crazy that Qwen3.6 27B now matches Sonnet 4.6 on AA's Agentic Index, overtaking Gemini 3.1 Pro Preview, GPT 5.2 and 5.3 as well as MiniMax 2.7. It made gains across all three indices but the way the Coding Index works, I don't think the gains are as apparent as they should be. The Coding Index only uses Terminal Bench Hard and SciCode which are both strange choices. Cleary the training on the 3.6 models out now has focused on agentic use for OpenClaw/Hermes but it's interesting how close to frontier models such a small model can get. Qwen3.6 122B might be epic. . .

**Deepseek V4** will probably release this week. Since I've already posted quite a lot about it here and I'm very hyped about V4, **I've summarized all the leaks. Everything is just leaked, unconfirmed**! Of course, everything could be different. If you have any new information or updates, please post them here! If you have different views or a different opinion, write them down too.

# DeepSeek V4 - Release

The release was originally expected for mid-February, alongside Gemini 3.1 Pro. However, DeepSeek has been delayed – this is not unusual and has happened multiple times before. The new release strongly points to **March 3rd** (Lantern Festival / 元宵节), but it could also be later in the week. The Financial Times reported on February 28th that V4 is coming "next week," timed to coincide with China's "Two Sessions" (两会) starting March 4th. DeepSeek's release pattern shows that new models often drop on **Tuesdays**. A short technical report is expected to be published simultaneously, with a full engineering report following about a month later.

# DeepSeek Delay History

DeepSeek delays regularly. Here's the pattern:

|Model|Originally Expected|Actual Release|Delay|
|:-|:-|:-|:-|
|DeepSeek-R1|Lite Preview Nov 2024, Full Version Dec 2024|January 20, 2025|\~4-8 weeks|
|DeepSeek-R2|May 2025 (according to reports)|Never released – replaced by R1-0528 update|Cancelled|
|DeepSeek-V3.1|Early Summer 2025 (expected)|August 21, 2025|Several months|
|DeepSeek-V3.2|Fall 2025 (expected)|December 1, 2025 (V3.2-Exp: Sep 29)|Weeks|
|DeepSeek-V4|\~February 17, 2026|\~March 3, 2026?|\~2 weeks|

# Architecture & Specifications – What Can We Expect?

**All unconfirmed! Much of this has been leaked but could turn out differently!**

# V4 Flagship – Main Model

|Specification|DeepSeek V3/V3.2|DeepSeek V4 (Leaks)|
|:-|:-|:-|
|Total Parameters|671B–685B MoE|\~1 Trillion (1T) MoE|
|Active Parameters/Token|\~37B|\~32B (fewer despite a larger model!)|
|Context Window|128K (since Feb '26: 1M)|1 Million Tokens (native)|
|Architecture|MoE + MLA|MoE + MLA + Engram Memory + mHC + DSA Lightning|
|Multimodal|No (text only)|Yes – Text, Image, Video, Audio (native)|
|Expert Routing|Top-2/Top-4 from 256 experts|16 experts active per token (from hundreds)|
|Hardware Optimization|Nvidia H800/H20 (CUDA)|Huawei Ascend + Cambricon (Nvidia secondary!)|
|Training|14.8T Tokens, H800 GPUs|Trained on Nvidia, inference optimized for Huawei|
|License|\-|\-|
|Input Modalities|Text|Text, Image, Video, Audio|
|Output Modalities|Text|Text (Image/Video generation unclear)|
|Estimated Input Price|$0.28/M Tokens|\~$0.14/M Tokens|
|Estimated Output Price|$0.42/M Tokens|\~$0.28/M Tokens|

# New Architecture Features (all backed by papers)

* **Engram Conditional Memory** (Paper: arXiv:2601.07372, Jan 13, 2026): O(1) hash lookup for static knowledge directly in DRAM. Saves GPU computation. 75% dynamic reasoning / 25% static lookups. Needle-in-a-Haystack: 97% vs. 84.2% with standard architectures
* **Manifold-Constrained Hyper-Connections (mHC)**: Solves training stability at 1T+ parameters. Separate paper published in January 2026
* **DSA Lightning Indexer**: Builds on V3.2-Exp's DeepSeek Sparse Attention. Fast preprocessing for 1M-token contexts, \~50% less compute

# DeepSeek V4 Lite (Codename: "sealion-lite")

A lighter variant has leaked alongside the flagship. At least one inference provider is testing the model under strict NDA.

|Specification|V4 Lite (Leak)|
|:-|:-|
|Parameters|\~200 Billion|
|Context Window|1M Tokens (native)|
|Multimodal|Yes (native)|
|Engram Memory|No (according to 36kr, not integrated)|
|vs. V3.2|"Significantly better" than current Web/App|
|Non-Thinking vs. V3.2 Thinking|Non-Thinking mode surpasses V3.2 Thinking mode|
|Status|NDA testing at inference providers|

# SVG Code Leak Examples

* **Xbox Controller**: 54 lines of SVG – highly detailed and efficient
* **Pelican on a Bicycle**: 42 lines of SVG – multi-element scene

According to internal evaluations: V4 Lite outperforms DeepSeek V3.2, Claude Opus 4.6 AND Gemini 3.1 in code optimization and visual accuracy.

# Leaked Benchmarks (NOT verified!)

**⚠️ IMPORTANT: All benchmark numbers come from internal leaks. The "83.7% SWE-bench" graphic circulating on X has been confirmed as FAKE (denied by the Epoch AI/FrontierMath team). The numbers below are the more conservative, more frequently cited leaks.**

|Benchmark|V4 (Leak)|V3.2|V3.2-Exp|Claude Opus 4.6|GPT-5.3 Codex|Qwen 3.5|
|:-|:-|:-|:-|:-|:-|:-|
|HumanEval (Code Gen)|\~90%|–|–|\~88%|**\~93%**|–|
|SWE-bench Verified|**>80%**|\~73.1%|67.8%|80.8%|80.0%|76.4%|
|Needle-in-a-Haystack|97% (Engram)|–|–|–|–|–|
|MMLU-Pro|TBD|85.0|–|85.8|–|–|
|GPQA Diamond|TBD|82.4|–|91.3|–|–|
|AIME 2025|TBD|93.1|–|87.2|–|–|
|Codeforces Rating|TBD|2386|–|2100|–|–|
|BrowseComp|TBD|51.4-67.6|40.1|84.0|–|–|

# Huawei & Hardware – The Geopolitical Dimension

* **Reuters (Feb 25)**: DeepSeek deliberately denied Nvidia and AMD access to the V4 model
* **Huawei Ascend + Cambricon** have early access for inference optimization
* Training was done on Nvidia hardware (H800), but **inference** is optimized for Chinese chips
* For the open-source community on Nvidia GPUs: performance could be **suboptimal** at launch
* This is an unprecedented hardware bet for a frontier model

# Price Comparison (estimated)

|Model|Input/1M Tokens|Output/1M Tokens|
|:-|:-|:-|
|DeepSeek V4 (estimated)|**\~$0.14**|**\~$0.28**|
|DeepSeek V3.2|$0.28|$0.42|
|Kimi K2.5|$0.60|$3.00|
|Gemini 3.1 Pro|$2.00|$12.00|
|Claude Opus 4.6|$5.00|$25.00|

If correct: V4 would be **36x cheaper** than Claude Opus 4.6 on input and **89x cheaper** on output.

# Open Questions

* Does V4 actually generate images/videos or just understand them?
* Will Nvidia GPU users get an optimized version?
* When will the open-source weights be released?

**Sources**: Financial Times, Reuters, CNBC, awesomeagents.ai, nxcode.io, FlashMLA GitHub, r/LocalLLaMA, Geeky Gadgets, 36kr

**Edit 03.03.2026**

The chance that the model will be released this week is relatively high, but not today. It is assumed that Deepseek will be released between March 3 and 5 if it is not published within the next 5 hours today. It will come in the next few days, as it then deviates from the release pattern (in terms of time).

**Edit 03.03.2026 Part 2**

The situation is becoming increasingly heated and tense, with an extremely large number of leaks and sources currently emerging. Collecting them all and verifying their credibility would take a very long time. However, a release is expected this week, with Wednesday or Thursday being the most likely dates.

**Edit 03.03.2026 Part 3 – Evening Update**

March 3rd (Lantern Festival) has passed without a release. However, in Beijing it is currently the early morning of March 4th, meaning the Chinese workday hasn't even started yet. A release on March 4th is still very much possible, especially since China's "Two Sessions" (两会) begin today.

What happened today:

1. **V4 Lite is being silently updated in production.** AIBase reported today that DeepSeek quietly pushed a new V4 Lite version tagged "0302". Community testers report a massive quality jump in logic, code generation, and aesthetics – now reportedly on par with Claude Sonnet 4.6. This strongly suggests DeepSeek is actively fine-tuning V4 models right before the official launch. (Source: AIBase)
2. **36kr published a new article** titled "The Entire Village Anticipates DeepSeek to Join for Dinner" – confirming the entire Chinese tech industry is waiting for V4. (Source: 36kr)

**Edit 04.03.2026 – Why not today, why Thursday is THE day**

March 4 passed without a release – and that makes strategic sense.

**Why not today:**

* CPPCC opening day = all Chinese media focused on politics, V4 would've been buried
* Shanghai Composite dropped 0.98% to 4,082 (4-week low) – bad sentiment to release into
* Beijing evening release window (8-10 PM BJT) has passed

**Why Thursday March 5 is the perfect storm:**

* **NPC opens tomorrow morning** – Premier Li Qiang delivers Government Work Report with AI & tech as centerpiece of the new Five-Year Plan. Morning: politics declares AI a national priority → Evening: DeepSeek delivers the proof
* **BYD "disruptive technology" event same day** – DiPilot 5.0, Blade 2.0, DM 6.0 reveal. Global headline: "China showcases two AI breakthroughs in one day"
* **Market timing** – Shanghai closes 3 PM BJT, evening release gives markets overnight to digest, Friday opens with V4 hype
* **Developer weekend** – Thursday drop = Fri + Sat + Sun to test & benchmark

**Expected release window:**

|Release|Beijing Time|UTC|
|:-|:-|:-|
|R1 (Jan 2025)|\~10-11 PM|\~2-3 PM|
|V3.2 (Nov 2025)|\~12 AM|\~4 PM|
|**V4 (expected)**|**8-11 PM**|**12-3 PM**|

**If Thursday doesn't happen?**

* Friday = bad release day (weekend kills momentum, DeepSeek has never released on a Friday)
* Next window: Monday/Tuesday March 9-10
* But: silent V4 Lite "0302" production update + 36kr's "The Entire Village Anticipates DeepSeek" article suggest we're in final hours, not days

**Edit 05.03.2026**

It has to happen today. Deepseek Web was down for 40 minutes, but it hasn't been down for the last 30 days, and it was the same before the big launch of V3 and R1. In addition, today is the BYD event Deepseek Partner. It will happen in the next few hours, and if not, then Deepseek has missed the best window of opportunity they could ever have had.

**Edit 05.03.2026 Part 2**

**The model will not be released this week or probably next week. Although DeepSee v4 has been ready for a long time and there were really only a few minor issues left, the model would have been released last week or this week. Is there a major delay due to the government, because at the last minute they said that deepseek is not allowed to release the model as long as it does not run on Chinese hardware, but the model was trained on Nvidia, so such a restructuring naturally takes time, because the new technology in V4 was completely for Nvidia and not for Huawei, and I think we still know what happened with R2...**

**Edit 07.03.2026**

When will Deepseek be released? After all the leaks, news, and crisis status, Deepseek V4 will and must come and cannot end like R2. The Chinese government has gone too far with its AI and told the US that it no longer needs it, whereupon Trump, in order not to appear weak, wants to impose a ban that will allow him to control all chip trade (meaning no more chips to China).

However, BYD and China have praised Deepseek too much in recent days. If V4 ended up like R2 and didn't come out at all, China would look extremely foolish, which the government would never allow.

That's why I suspect that Deepseek will receive help from the Chinese government (in recent years, Deepseek's CEO has been in frequent talks with the government and has received support from it) and will no longer adhere to any release pattern, as Deepseek has already missed three good release windows. My guess is that they will release it when it is least expected, which could be this weekend. (V3.2 was released on Sunday) In order to weaken and expose Nvidia and the entire US market with new AI technology.

Deepseek waiting until Claude or other providers are ready is incorrect and highly unlikely. Deepseek has problems and needs to fix them before release. V4 is already 90% complete (Lite has been corrected several times and is said to be just as intelligent as Sonnet 4.6). We also know that Deepseek's CEO is a perfectionist and would never release a half-finished product or leave it unfinished, as was the case with the GLM-5 release

**🚨 UPDATE 11.03.2026 – 22:00 CET – V4 WEIGHTS SPOTTED**

Major development: Chinese quantization expert u/bdsqlsz (青龍聖者) on X was spotted uploading **DeepSeek-V4-INT8** model shards to HuggingFace with the caption "it is coming." The upload shows multiple `model-0...` shards, a `.gitattributes`, and a [`README.md`](http://README.md) — indicating a full model repo creation.

**Why this is significant:**

* u/bdsqlsz is a verified, well-known quantization specialist — not a random account
* INT8 quantization requires access to the **full original weights** first
* Historically, community quants appear **within hours** of official weight releases (V3: same day, R1: same day, V3.2: within 24h)
* This means the official FP8/BF16 weights either already exist on HuggingFace (possibly private/unlisted) or u/bdsqlsz has NDA access

**Full leaked specs now confirmed:**

* \~1 Trillion parameters (MoE), \~32B active per token
* 1M native context window
* Multimodal: text + vision + audio
* Huawei Ascend 910C optimized
* MIT License

**Previous delays explained:** Huawei Ascend inference optimization (only 80% Nvidia efficiency), Blackwell chip fingerprint removal, and CEO Liang Wenfeng's perfectionism. The 40-min web outage on March 5 was likely a deployment test.

**My prediction: Official release within 24-72 hours.** The weights exist. The upload is happening. Keep your monitors running.

⚠️ UPDATE 11.03 – Unverified leak: u/bdsqlsz posted V4-INT8 weight uploads on X. r/LocalLLaMA is split – top comment (193 upvotes) questions authenticity. The file structure looks technically correct and INT8 aligns with Huawei optimization rumors, but previous V4 benchmark leaks in February were confirmed fake. Treat with caution until official deepseek-ai repo appears on HuggingFace."

Will update when it drops. 🚀