Aitoolsfi
OpenAI

o1-preview Deprecated

Early preview model using broad general knowledge to reason about hard problems.

Unknown 128,000 context 32,768 tokens output
Text
Overview ↓ Pricing ↓ Price Comparison ↓ Tools ↓ Resources ↓ Community ↓

Model Overview

High-signal model metadata in a structured two-column overview table.

Provider

The entity that provides this model.

OpenAI

Input Context Window

The number of tokens supported by the input context window.

128,000 tokens

Maximum Output Tokens

The number of tokens that can be generated by the model in a single request.

32,768 tokens tokens

Open Source

Whether the model's code is available for public use.

No

Release Date

When the model was first released.

Unknown

Knowledge Cut-off Date

When the model's knowledge was last updated.

Unknown

API Providers

The providers that offer this model. This is not an exhaustive list.

OpenAI API

Modalities

Types of data this model can process.

Text Image Audio File

Pricing for o1-preview Deprecated

Primary API pricing shown in the same “quick compare” spirit as the reference page.

Input tokens $15.00 Per million tokens
Output tokens $60.00 Per million tokens

Price Comparison

Additional usage-cost dimensions synced into the project for this model.

maxTemperature 2
maxResponseSize 32,768 tokens

API Access & Providers

Places where this model is available, based on the synced detail-page metadata.

OpenAI API

Resources & Documentation

Official model cards, release notes, docs, and other references synced from the source page.

Introducing OpenAI o1
→
Reasoning models
→
Official Website
→
Usage Policies
→
Enterprise privacy at OpenAI
→
OpenAI Status Page
→
Community discussion

What people think about o1-preview Deprecated

o1-preview Deprecated discussions are most active in r/ClaudeAI, r/singularity, r/LocalLLaMA. Top Reddit threads cluster around benchmark and model-comparison threads, coding workflow discussions.

The strongest match in this snapshot has 603 upvotes and 169 comments.

r/LocalLLaMA 358 upvotes 118 comments November 14, 2024
Gemini Exp 1114 now ranks joint #1 overall on Chatbot Arena (that name though....)

Massive News from Chatbot Arena

[u/GoogleDeepMind](https://x.com/GoogleDeepMind)'s latest Gemini (Exp 1114), tested with 6K+ community votes over the past week, now ranks **joint #1 overall** with an impressive 40+ score leap — matching 4o-latest in and surpassing o1-preview! It also claims **#1 on Vision** leaderboard.

Gemini-Exp-1114 excels across technical and creative domains:

\- Overall #3 -> #1
\- Math: #3 -> #1
\- Hard Prompts: #4 -> #1
\- Creative Writing #2 -> #1
\- Vision: #2 -> #1
\- Coding: #5 -> #3
\- Overall (StyleCtrl): #4 -> #4

Huge congrats to [@GoogleDeepMind](https://x.com/GoogleDeepMind) on this remarkable milestone!

Check out the original thread

[https://x.com/lmarena\_ai/status/1857110672565494098?t=RdIOf2TycklRpHsH-9nl\_w&s=07&fbclid=IwZXh0bgNhZW0CMTEAAR2twWnQtHrXI\_6zt-cbVKRvC8VuTHMVsPT5M1lFUIeHQ49yaBAb-KUvfqk\_aem\_Gx6TX3uaCoKDTtc34NCpfg](https://x.com/lmarena_ai/status/1857110672565494098?t=RdIOf2TycklRpHsH-9nl_w&s=07&fbclid=IwZXh0bgNhZW0CMTEAAR2twWnQtHrXI_6zt-cbVKRvC8VuTHMVsPT5M1lFUIeHQ49yaBAb-KUvfqk_aem_Gx6TX3uaCoKDTtc34NCpfg)

https://preview.redd.it/m5rrk131mw0e1.png?width=1200&format=png&auto=webp&s=d4892ca40746299f1b97b167753e96733d348cf4

Open Reddit thread
r/ClaudeAI 7 upvotes 2 comments September 25, 2024
Is there a noticeable difference between maintaining a codebase vs creating a new one when using Sonnet 3.5

I use Claude when refactoring a legacy .Net project. It’s fairly good at refactoring small functions but the size of files exceeds the context window, etc, etc.

I’m writing my own side project. It uses Rust vs JavaScript on the legacy project. As a rule, I’ve noticed that JavaScript and Python are proportionally better when written by LLMs, while the more closed source or obscure the language (Ada, for instance) is more likely to hallucinate.

However, I’ve noticed the refactoring for the Rust project is far easier than the JavaScript, despite the file sizes being similar (about 1000 lines of code) and the same number of files needing to be juggled. Claude is able to refactor without losing functionality (unlike o1-preview) and I don’t spend twice as long fixing subtle bugs like I do on the legacy project.

My theory is that I’m writing better use cases and specifications for the Rust project than for a legacy product whose original developers left sparse or deprecated specifications. Does anyone else notice the same effect or is it something more personal to now I’m prompting?

Open Reddit thread
View more discussions →

More models from OpenAI

Continue browsing adjacent models from the same provider.

GPT‑5.2 Pro Release date unavailable GPT-5.1 Release date unavailable GPT-5 Release date unavailable Gemini 3.1 Pro Release date unavailable
← All AI Models