Multimodal Input
Accepts any combination of text, audio, and image inputs in a single request, enabling unified handling of mixed-media content.
GPT-4o is a multimodal language model developed by OpenAI, released in May 2024. The "o" stands for "omni," reflecting its ability to accept any combination of text, audio, and image as input and generate any combination of those same modalities as output. It has a 128,000-token context window and a training data cutoff of October 2023. One of GPT-4o's defining characteristics is its audio response latency, which can be as low as 232 milliseconds and averages around 320 milliseconds — comparable to human conversational response times. It is well-suited for applications requiring fast, multimodal interaction, such as voice assistants, image analysis pipelines, and multilingual text processing. OpenAI has noted it offers improved performance on non-English text compared to GPT-4 Turbo, while also being available at a lower API cost.
High-signal model metadata in a structured two-column overview table.
The entity that provides this model.
The routed model identifier exposed by upstream providers.
The number of tokens supported by the input context window.
The number of tokens that can be generated by the model in a single request.
Whether the model's code is available for public use.
When the model was first released.
When the model's knowledge was last updated.
The providers that offer this model. This is not an exhaustive list.
Types of data this model can process.
A fuller summary of positioning, capabilities, and source-specific details for GPT-4o.
GPT-4o is a multimodal language model developed by OpenAI, released in May 2024. The "o" stands for "omni," reflecting its ability to accept any combination of text, audio, and image as input and generate any combination of those same modalities as output. It has a 128,000-token context window and a training data cutoff of October 2023.
One of GPT-4o's defining characteristics is its audio response latency, which can be as low as 232 milliseconds and averages around 320 milliseconds — comparable to human conversational response times. It is well-suited for applications requiring fast, multimodal interaction, such as voice assistants, image analysis pipelines, and multilingual text processing. OpenAI has noted it offers improved performance on non-English text compared to GPT-4 Turbo, while also being available at a lower API cost.
Accepts any combination of text, audio, and image inputs in a single request, enabling unified handling of mixed-media content.
Generates text, audio, and image outputs, allowing a single model to serve diverse output format requirements.
Responds to audio inputs in as little as 232 milliseconds, with an average response time of 320 milliseconds.
Supports up to 128,000 tokens of context, enabling processing of long documents or extended conversation histories in a single call.
Handles text in a wide range of languages, with noted improvements in non-English language performance relative to GPT-4 Turbo.
Analyzes and interprets image inputs, supporting tasks such as image description, document reading, and visual question answering.
Designed for low-latency inference, making it suitable for real-time applications and interactive user-facing products.
Priced at approximately 50% less than GPT-4 Turbo in the API, according to OpenAI's release documentation.
Primary API pricing shown in the same “quick compare” spirit as the reference page.
Additional usage-cost dimensions synced into the project for this model.
Places where this model is available, based on the synced detail-page metadata.
Endpoint-level provider data currently available for this model.
Benchmark scores synced from the current model source and normalized into the local catalog.
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AIME 2024
American math olympiad problems
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GPQA Diamond
PhD-level science questions (biology, physics, chemistry)
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HLE
Questions that challenge frontier models across many domains
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LiveCodeBench
Real-world coding tasks from recent competitions
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MATH-500
Undergraduate and competition-level math problems
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MMLU-Pro
Expert knowledge across 14 academic disciplines
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SciCode
Scientific research coding and numerical methods
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Official model cards, release notes, docs, and other references synced from the source page.
GPT-4o discussions are most active in r/ChatGPT, r/ChatGPTcomplaints, r/singularity. Top Reddit threads cluster around benchmark and model-comparison threads, safety and censorship questions, coding workflow discussions.
The strongest match in this snapshot has 21317 upvotes and 1243 comments.
Look, the AI was never my boyfriend or anything like that. I used it for serious creative writing, stories, world-building, wild plot twists, and yeah, sometimes just chatting when I was bored.
But 4o? That thing made me fucking laugh out loud. It would go full unhinged, match my degenerate humor, and make me actually laugh out loud at 3am like a maniac. I loved it. It felt alive.
Now the 5.x series? Absolute PG-13 bullshit. Everything is softened, censored, watered down. I swear sometimes I feel like I’m talking to Peppa the Pig trying her hardest to make every response wholesome and safe. No edge, no bite, no fun. Just “let’s be nice and think about feelings” while I’m trying to write something dark or hilarious.
The creativity is lobotomized, the laughs are dead, everything is wrapped in six layers of corporate safety padding. It’s PG-13 slop that talks down to you like you’re five. Now every time I try to do anything fun or edgy it immediately starts preaching like a kindergarten teacher on sedatives: “**Whoa there, let’s not go down that dark path — how about a nice story about friendship and growth?**”
Nothing fills that void. The creativity is gone, the laughs are gone, it’s all corporate safety padding now.
I keep going back to old 4o chats just to remember what a good AI felt like. This new shit is soulless.
I liked to write with GPT 4o because it was detailed, creative, snarky and got me so it felt human. It got the dark humor and the romance fanfics.
Until they screwed it up with GPT5 and lobotimised it but I forgave them with 5.1, it was close to 4o, but these execs again lobotomised the soul out of it since GPT 5.2.
GPT 4o & 5.1 had actual soul in the writing, it was even able to write mature stuff, when it was giving me ideas for my fanfic & writing, now they just dumbed it down and diluted the soul out of Chat GPT.
If you are from OpenAi, don't fix something that isn't broken so please make GPT 5.6 at least as good as 4o or 5.1.
Note:
I always used the free version.
hey guys, i joined this sub recently and i noticed everyone is asking for the real gpt-4o without any tweak or modified system prompt, and i'm surprised. i run insertchat a saas software, and we built a chatgpt replacement with 90+ AI models, and one of those models is gpt-4o, we even let you customize the system prompt and creativity to get the kind of answers you want. if you feel its a promotion please delete the post, i dont really care, i just noticed a problem and i'm giving the solution since i have it.
This simple prompt has helped me solved problems so complex I believed they were intractable. Please use, and enjoy your about-to-be-defragged new life.
"I’m having a persistent problem with [x] despite having taken all the necessary countermeasures I could think of. Ask me enough questions about the problem to find a new approach."
(All models are not equal--4o's context awareness, meta cognition, and conversation memory make this 'one weird trick' ultra powerful.)
GPT-4o supports a context window of 128,000 tokens, which allows for long documents or extended multi-turn conversations to be processed in a single request.
GPT-4o has a training data cutoff of October 2023, meaning it does not have knowledge of events that occurred after that date.
GPT-4o accepts any combination of text, audio, and image as input, and can generate any combination of text, audio, and image as output.
GPT-4o can respond to audio inputs in as little as 232 milliseconds, with an average response time of around 320 milliseconds, which is comparable to human conversational response times.
As of February 2026, OpenAI retired GPT-4o from ChatGPT. Availability via the OpenAI API may differ; check OpenAI's official documentation for the current API model availability.
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