GPT-4o
gpt-4o
Last refreshed 2026-05-22. Next refresh: weekly.
GPT-4o is worth evaluating for coding, rag, and agents when its provider route and context window match the workload.
Decision context: Vision task fit, 5 tracked provider routes, and research from 2026-05-10.
Use it for
- Teams evaluating coding, rag, and agents
- Workloads that can use a 128K context window
- Buyers comparing 4 tracked provider routes
Do not use it for
- Workloads where another current model has stronger sourced task evidence
Cheapest output
$10.00
OpenAI API per 1M tokens
Provider routes
5
Tracked API hosts
Quality / dollar
Grade D
Ranked by benchmark score divided by cheapest output price
Freshness
2026-05-10
Researched 12d ago
Top use-case fit
Coding
Included by capability and metadata signals 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 5| Provider | Input / 1M | Output / 1M | Cache | Route |
|---|---|---|---|---|
| OpenAI API | $2.50 | $10.00 | read $1.25 | Serverless |
| OpenRouter | $2.50 | $10.00 | - | Serverless |
| Replicate API | $2.50 | $10.00 | - | Serverless |
| Vercel AI Gateway | $2.50 | $10.00 | read $1.25 | Serverless |
Benchmark peer barsfor Vision
Migration checks
No linked migration route is available for this model yet.
About
OpenAI GPT-4o: Flagship multimodal model with vision, function calling, and broad capability. $2.50/M input, $10/M output.
GPT-4o has a 128K-token context window.
GPT-4o input tokens at $2.5/1M, output at $10/1M.
Capabilities
Benchmark Scores(3)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| Chatbot Arena | 1315.0 | — | https://lmarena.ai |
| Google-Proof Q&A | 50.6 | diamond | https://openai.com/index/learning-to-reason-with-llms/ |
| Massive Multi-discipline Multimodal Understanding | 69.1 | — | https://mmmu-benchmark.github.io/ |
