GPT-4o (05-13)
GPT-4o (05-13) is a legacy integration reference; evaluate GPT-4o before starting new work.
Use it for
- Teams maintaining an existing integration
- Workloads that can use a 128k context window
- Buyers comparing 3 tracked provider routes
Do not use it for
- New production launches
- Family
- GPT-4o
- Released
- 2024-05-13
- Context
- 128k
- Parameters
- 1.76T (8x222B MoE)*
- Architecture
- Mixture of Experts
- Knowledge cutoff
- 2023-10
- Specialization
- general
- License
- Proprietary
- Training
- finetuned
Cheapest of 4 routes · OpenAI API
This model is deprecated. OpenAI recommends switching to GPT-4o.
About
GPT-4o, or GPT-4 Omni, is OpenAI's premier multimodal AI model, introduced on May 13, 2024. It is designed to handle and generate content from various input types, including text, audio, and visual data, using a unified model, unlike its predecessors which required separate models for different modalities. This model is notable for its rapid response times averaging 320 milliseconds, which align with human conversational speed, along with being 50% more cost-effective than GPT-4 Turbo. Although it mirrors GPT-4 Turbo in standard benchmark performance, GPT-4o excels in multilingual, audio, and vision tasks. Despite its advancements, it shares the limitation of a knowledge cutoff at October 2023 and is prone to generating incorrect information, like other language models. A more compact and economical version, GPT-4o mini, is also available.
GPT-4o (05-13) is a proprietary model in the GPT-4o family. The structured metadata tracks a 128k-token context window, multimodal input, structured outputs, and code execution. This page tracks provider routes through Azure OpenAI, OpenAI API, OpenRouter, and 1 more, with the cheapest tracked route listed at $2.5 input and $10 output per 1M tokens. Headline tracked benchmarks include HellaSwag 96.4, HumanEval 90.2, and Massive Multitask Language Understanding 88.7.
Top use-case fit: coding, agents, and build tasks
Coding
1 relevant benchmark in the decision map.
RAG
Included by capability and metadata signals in the decision map.
Agents
Included by capability and metadata signals in the decision map.
Provider price ladder
Compare all 4Compare API pricing across 3 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Batch in / out | Route |
|---|---|---|---|---|
| OpenAI API | $2.50 | $10.00 | $1.25 / $5.00 | Serverless |
| Replicate API | $2.50 | $10.00 | - | Serverless |
| OpenRouter | $5.00 | $15.00 | - | Serverless |
Capabilities
Benchmark peer barsfor Coding
Benchmark scores(6)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| HellaSwag | 96.4 | 10-shot | https://crfm.stanford.edu/helm/classic/latest/ |
| HumanEval | 90.2 | pass@1 | https://crfm.stanford.edu/helm/classic/latest/ |
| Massive Multitask Language Understanding | 88.7 | 5-shot | https://crfm.stanford.edu/helm/classic/latest/ |
| MMLU PRO | 72.5 | — | https://huggingface.co/spaces/TIGER-Lab/MMLU-Pro |
| HumanEval+ | 87.2 | — | https://evalplus.github.io/leaderboard.html |
| Mostly Basic Programming Problems+ | 78.0 | — | https://evalplus.github.io/leaderboard.html |
Migration checks
No linked migration route is available for this model yet.
API versions
gpt-4o-2024-05-13gpt-4o