GPT-4o (2024-11-20)
gpt-4o-2024-11-20
Last refreshed 2026-05-11. Next refresh: weekly.
GPT-4o (2024-11-20) is worth evaluating for coding, rag, and long context when its provider route and context window match the workload.
Decision context: Coding task fit, 2 tracked provider routes, and research from 2026-05-10.
Use it for
- Teams evaluating coding, rag, and long context
- Workloads that can use a 128K context window
- Buyers comparing 2 tracked provider routes
Do not use it for
- Vision or document-understanding workloads
Cheapest output
$10.00
OpenAI API per 1M tokens
Provider routes
2
Tracked API hosts
Quality / dollar
Grade D
Ranked by benchmark score divided by cheapest output price
Freshness
2026-05-10
Researched 8d ago
Top use-case fit
Coding
Q/$ D1 relevant benchmark in the decision map.
RAG
Included by capability and metadata signals in the decision map.
Long context
Included by capability and metadata signals in the decision map.
Provider price ladder
| Provider | Input / 1M | Output / 1M | Batch in / out | Route |
|---|---|---|---|---|
| OpenAI API | $2.50 | $10.00 | $1.25 / $5.00 | Serverless |
| OpenRouter | $2.50 | $10.00 | - | Serverless |
Benchmark peer barsfor Coding
Migration checks
No linked migration route is available for this model yet.
About
OpenAI: GPT-4o (2024-11-20) available via OpenRouter. Pricing: $2.5/1M input, $10/1M output.
GPT-4o (2024-11-20) has a 128K-token context window.
GPT-4o (2024-11-20) input tokens at $2.5/1M, output at $10/1M.
Capabilities
Benchmark Scores(2)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| BigCodeBench | 48.0 | 2025-01 (Instruct Pass@1) | https://bigcode-bench.github.io/results.json |
| Massive Multi-discipline Multimodal Understanding | 70.7 | — | https://mmmu-benchmark.github.io/ |