Model comparison
GPT-5.1-Codex-Max vs Qwen3.7 Max
Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.1-Codex-Max #90 (Estimated); Qwen3.7 Max #10 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.1-Codex-Max and Qwen3.7 Max share 11 comparable benchmark results. 0 of 8 categories are comparable. 2 results are unique to GPT-5.1-Codex-Max; 47 to Qwen3.7 Max.
Updated July 23, 2026- Shared results
- 11
- GPT-5.1-Codex-Max only
- 2
- Qwen3.7 Max only
- 47
- Comparable categories
- 0 / 8
Benchmark data for GPT-5.1-Codex-Max and Qwen3.7 Max is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Qwen3.7 Max has the larger context window at 1M, compared with 400K for GPT-5.1-Codex-Max.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | GPT-5.1-Codex-Max | Δ | Qwen3.7 Max |
|---|---|---|---|
| Agentic | GPT-5.1-Codex-MaxNot measured | MarginNo overlap | Qwen3.7 Max69.7 |
| Coding | GPT-5.1-Codex-MaxNot measured | MarginNo overlap | Qwen3.7 Max77.9 |
| Reasoning | GPT-5.1-Codex-MaxNot measured | MarginNo overlap | Qwen3.7 Max90.4 |
| Knowledge | GPT-5.1-Codex-MaxNot measured | MarginNo overlap | Qwen3.7 Max64.2 |
| Math | GPT-5.1-Codex-MaxNot measured | MarginNo overlap | Qwen3.7 Max97.1 |
| Multilingual | GPT-5.1-Codex-MaxNot measured | MarginNo overlap | Qwen3.7 Max87.0 |
| Inst. Following | GPT-5.1-Codex-MaxNot measured | MarginNo overlap | Qwen3.7 Max84.4 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.1-Codex-Max | Qwen3.7 Max | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.1-Codex-Max$1.25 input / $10 output | Qwen3.7 MaxNot available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.1-Codex-MaxNot available | Qwen3.7 MaxNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.1-Codex-MaxNot available | Qwen3.7 MaxNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.1-Codex-Max400K | Qwen3.7 Max1M | Qwen3.7 Max lists the larger context window. |
Benchmark Deep Dive
Agentic21 benchmarks
| Benchmark | GPT-5.1-Codex-Max | Qwen3.7 Max | Result |
|---|---|---|---|
| τ²-bench resultsSource | 83% | 94.7% | Qwen3.7 Max leads |
| Terminal-Bench 2.0Source | — | 69.7% | Not comparable |
| QwenClawBenchSource | — | 64.3% | Not comparable |
| QwenWebBenchSource | — | 1568 | Not comparable |
| Claw-EvalSource | — | 65.2% | Not comparable |
| BFCL v4Source | — | 75.0% | Not comparable |
| MCP AtlasSource | — | 76.4% | Not comparable |
| VITA-BenchSource | — | 47.9% | Not comparable |
| HLE w/ toolsSource | — | 53.5% | Not comparable |
| AA Agentic IndexSource | — | 30.6% | Not comparable |
| GDPval-AASource | — | 38.7% | Not comparable |
| GDPval-AASource | — | 1273 | Not comparable |
| Gert LabsSource | — | 64.27% | Not comparable |
| ResearchClawBenchSource | — | 18.7% | Not comparable |
| AA BriefcaseSource | — | 908 | Not comparable |
| AA AutomationBenchSource | — | 25.6% | Not comparable |
| AA EnterpriseOps-GymSource | — | 45.0% | Not comparable |
| AA ITBenchSource | — | 42.5% | Not comparable |
| terminalBenchHardSource | — | 50.8% | Not comparable |
| aaTerminalBench21Source | — | 74.5% | Not comparable |
| AA Harvey LABSource | — | 83.4% | Not comparable |
Coding10 benchmarks
| Benchmark | GPT-5.1-Codex-Max | Qwen3.7 Max | Result |
|---|---|---|---|
| Vibe Code BenchSource | 22.17% | — | Not comparable |
| AA-SciCodeSource | 40.2% | 48.8% | Qwen3.7 Max leads |
| SWE-bench VerifiedSource | — | 80.4% | Not comparable |
| SWE-bench ProSource | — | 60.6% | Not comparable |
| SWE MultilingualSource | — | 78.3% | Not comparable |
| NL2RepoSource | — | 47.2% | Not comparable |
| SciCodeSource | — | 53.5% | Not comparable |
| LiveCodeBenchSource | — | 91.6% | Not comparable |
| Terminal-Bench 2.0Source | — | 69.7% | Not comparable |
| AA Coding IndexSource | — | 66.0% | Not comparable |
Reasoning3 benchmarks
Knowledge13 benchmarks
| Benchmark | GPT-5.1-Codex-Max | Qwen3.7 Max | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 34.7% | 46.0% | Qwen3.7 Max leads |
| AA-GPQA DiamondSource | 86.0% | 92.3% | Qwen3.7 Max leads |
| AA-HLESource | 23.4% | 38.1% | Qwen3.7 Max leads |
| AA-Omniscience IndexSource | -6.0% | 14.1% | Qwen3.7 Max leads |
| AA-Omniscience AccuracySource | 39.2% | 30.1% | GPT-5.1-Codex-Max leads |
| AA-Omniscience Hallucination RateSource | 74.4% | 22.9% | Qwen3.7 Max leads |
| GPQASource | — | 92.4% | Not comparable |
| GPQA-DSource | — | 92.4% | Not comparable |
| HLESource | — | 41.4% | Not comparable |
| MMLU-ProSource | — | 89.6% | Not comparable |
| MMLU-ReduxSource | — | 95% | Not comparable |
| SuperGPQASource | — | 73.6% | Not comparable |
| MMMLUSource | — | 90.3% | Not comparable |
Math3 benchmarks
Multilingual5 benchmarks
Multimodal2 benchmarks
Frequently Asked Questions (3)
Can I compare GPT-5.1-Codex-Max and Qwen3.7 Max on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for GPT-5.1-Codex-Max and Qwen3.7 Max today?
GPT-5.1-Codex-Max: $1.25 input / $10.00 output per 1M tokens Qwen3.7 Max: Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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