POST /v1/messagesGPT-4o
gpt-4oGPT-4o is OpenAI’s multimodal flagship from the GPT-4o generation, built for text and image input with strong general intelligence. Official docs describe it as a versatile high-intelligence model suitable for a broad range of language and vision tasks. It remains useful where multimodal understanding and natural interaction matter more than the newest reasoning stack.
Total Context
128Ktokens
Max Output
16.4Ktokens
Released
May 13, 2024
Modalities
GPT-4o Price
| Input Price | Output Price | Cache Read |
|---|---|---|
| $2.5/M | $10/M | $1.25/M |
GPT-4o API
GPT-4o Benchmark
9.6
/100
Artificial Analysis Intelligence Index
Artificial Analysis broad capability aggregate
Index score
16.6
/100
Artificial Analysis Coding Index
Artificial Analysis software task aggregate
Index score
Knowledge & Reasoning
GPQA
Advanced science problem solving
52.1%
HLE
Broad expert-level exam set
2.9%
Coding & Engineering
LiveCodeBench
Live coding problems
31.7%
SciCode
Scientific coding challenges
33.1%
Terminal-Bench Hard
Hard terminal task execution
8.3%
Math
MATH-500
Advanced math problem solving
79.5%
AIME
Competition math problems
11.7%
Instruction Following & Agent Tasks
IFBench
Prompt constraint adherence
36.0%
AA-LCR
Long-context reasoning
35%
τ²-Bench
Agent workflow tasks
28.9%
Metrics sourced from Artificial Analysis
Frequently asked questions about GPT-4o
Understand what GPT-4o is, its best uses, distinguishing strengths, practical tradeoffs, and safe TokenHub integration guidance.
What kind of model is GPT-4o?+
GPT-4o is OpenAI’s earlier omni model for general text and visual understanding, now positioned as an older API option. It has been retired from ChatGPT, while API availability may remain; check TokenHub’s current listing.
What should teams use GPT-4o for?+
Best-fit scenarios include analysis of text and visual inputs, responsive interactive assistants, and general-purpose content generation. Test representative inputs and define measurable acceptance criteria before production.
Where does GPT-4o have a clear technical advantage?+
Key strengths include combined text and image understanding, broad general-purpose capability, and responsive conversational behavior. This combination is especially useful for responsive interactive assistants.
When should a team choose another model instead of GPT-4o?+
Consider another model when a new build should use the provider’s current recommended generation, the task needs a dedicated reasoning model, or the workflow cannot include human review for important decisions. Verify important factual, legal, financial, medical, or operational outputs with qualified human review.
What should be checked before integrating GPT-4o with TokenHub?+
In TokenHub, select the exact model identifier displayed for GPT-4o, use the endpoint documented for your account, and authenticate with your TokenHub credentials. Check the current TokenHub documentation for supported text and image inputs, because platform exposure can differ from the provider’s full model capabilities.
Media and Discussions
Selected public videos and posts related to this model.
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