OpenAIGPT-5.1-Codex-Max
GPT-5.1-Codex-Max is an OpenAI proprietary reasoning model, released 19 Nov 2025. It is not yet ranked: 3 independent results so far, and the index needs at least five across two categories. At $3.44 per million tokens blended it is among the most expensive ranked models. Output speed of 59 tokens per second puts it slower than most, with a first token in 4.3 s. Last measured 1 Sept 2026.
- Blended price
- $3.44/M
- $1.25 in · $10.00 out
- Output speed
- 59 tok/s
- OpenRouter traffic, 7-day median; not yet measured by Artificial Analysis
- First answer
- 4.30 s
- Context
- 400k
- Full answer
- –
- Cost per run
- –
- Released
- 19 Nov 2025
- Coding61
- Agents & tools63
- Maths34
Benchmark results
See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.
Coding
| Benchmark | max | Source | Trend |
|---|---|---|---|
| LiveCodeBench | 83.6%#46 | Vals AI | |
| Vibe Code Bench v1.1not in index | 22.2%#81 | Vals AI | |
| ALE-Benchnot in index | 1208.8#41 | Epoch AI Benchmarking Hub |
Agents & tools
| Benchmark | max | Source | Trend |
|---|---|---|---|
| Terminal-Bench | 60.5%#16 | Terminal-Bench | |
| METR Time Horizonsnot in index | 70.8%#9 | METR |
Maths
| Benchmark | max | Source | Trend |
|---|---|---|---|
| ProofBench | 9.0%#66 | Vals AI |
Where to run it
Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.
| Provider | Speed | First token | Input $/M | Output $/M | Context | Quantisation |
|---|---|---|---|---|---|---|
| Azure | 64 tok/s | 3.09 s | $1.25 | $10.00 | 400k | – |
What a task costs
Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache at $0.125 per 1M. Reasoning tokens are not modelled.
| Workload | Tokens in / out | Cost | With caching | Time |
|---|---|---|---|---|
| Chat reply | 400 / 300 | $0.0035 | $0.0032 | 9.4 s |
| Summarize a 30-page report | 12,000 / 600 | $0.021 | $0.011 | 14.5 s |
| Code edit | 6,000 / 1,500 | $0.022 | $0.017 | 29.7 s |
| Agentic coding session | 60,000 / 4,000 | $0.115 | $0.064 | 1.2 min |
| Structured extraction | 2,000 / 200 | $0.0045 | $0.0028 | 7.7 s |
More from OpenAI
See also
Questions people ask
- Why does GPT-5.1-Codex-Max have no BenchLeader Index score?
- The index needs at least five independent results across at least two categories; as of 25 Oct 2026 GPT-5.1-Codex-Max has 3 that count. Launch-post scores are never used, so it is ranked once independent publishers have measured it.
- How much does GPT-5.1-Codex-Max cost per 1M tokens?
- As of 25 Oct 2026, GPT-5.1-Codex-Max costs $1.25 per 1M input tokens and $10.00 per 1M output tokens, $3.44 blended (three input tokens per output token).
- When was GPT-5.1-Codex-Max released?
- OpenAI released GPT-5.1-Codex-Max on 19 Nov 2025.
Data as of 25 Oct 2026. Compare with another model.
Cite as: BenchLeader, “GPT-5.1-Codex-Max: benchmarks, pricing, speed and rank”, data as of 25 Oct 2026, https://www.benchleader.com/models/gpt-5-1-codex-max.