Model comparison
GPT-5.1-Codex-Max vs Qwen3.7 Plus
Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.1-Codex-Max #90 (Estimated); Qwen3.7 Plus #21 (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 Plus share 12 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to GPT-5.1-Codex-Max; 57 to Qwen3.7 Plus.
Updated July 23, 2026- Shared results
- 12
- GPT-5.1-Codex-Max only
- 1
- Qwen3.7 Plus only
- 57
- Comparable categories
- 0 / 8
Benchmark data for GPT-5.1-Codex-Max and Qwen3.7 Plus is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 6 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 Plus 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 Plus |
|---|---|---|---|
| Agentic | GPT-5.1-Codex-MaxNot measured | MarginNo overlap | Qwen3.7 Plus71.7 |
| Coding | GPT-5.1-Codex-MaxNot measured | MarginNo overlap | Qwen3.7 Plus75.6 |
| Reasoning | GPT-5.1-Codex-MaxNot measured | MarginNo overlap | Qwen3.7 Plus91.7 |
| Knowledge | GPT-5.1-Codex-MaxNot measured | MarginNo overlap | Qwen3.7 Plus60.1 |
| Math | GPT-5.1-Codex-MaxNot measured | MarginNo overlap | Qwen3.7 Plus92.9 |
| Multilingual | GPT-5.1-Codex-MaxNot measured | MarginNo overlap | Qwen3.7 Plus85.4 |
| Multimodal | GPT-5.1-Codex-MaxNot measured | MarginNo overlap | Qwen3.7 Plus81.5 |
| Inst. Following | GPT-5.1-Codex-MaxNot measured | MarginNo overlap | Qwen3.7 Plus84.5 |
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 Plus | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.1-Codex-Max$1.25 input / $10 output | Qwen3.7 PlusNot available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.1-Codex-MaxNot available | Qwen3.7 PlusNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.1-Codex-MaxNot available | Qwen3.7 PlusNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.1-Codex-Max400K | Qwen3.7 Plus1M | Qwen3.7 Plus lists the larger context window. |
Benchmark Deep Dive
Agentic16 benchmarks
| Benchmark | GPT-5.1-Codex-Max | Qwen3.7 Plus | Result |
|---|---|---|---|
| τ²-bench resultsSource | 83% | 93% | Qwen3.7 Plus leads |
| Terminal-Bench 2.0Source | — | 70.3% | Not comparable |
| QwenClawBenchSource | — | 61.8% | Not comparable |
| QwenWebBenchSource | — | 1536 | Not comparable |
| Claw-EvalSource | — | 62.7% | Not comparable |
| BFCL v4Source | — | 72.9% | Not comparable |
| MCP AtlasSource | — | 73.2% | Not comparable |
| VITA-BenchSource | — | 45.6% | Not comparable |
| DeepPlanningSource | — | 62.3% | Not comparable |
| OSWorld-VerifiedSource | — | 73.3% | Not comparable |
| AndroidWorldSource | — | 81.0% | Not comparable |
| AA Agentic IndexSource | — | 20.8% | Not comparable |
| APEX-Agents-AASource | — | 22.4% | Not comparable |
| GDPval-AASource | — | 21.8% | Not comparable |
| GDPval-AASource | — | 936 | Not comparable |
| OSWorld 2.0Source | — | 2.8% | Not comparable |
Coding10 benchmarks
| Benchmark | GPT-5.1-Codex-Max | Qwen3.7 Plus | Result |
|---|---|---|---|
| Vibe Code BenchSource | 22.17% | — | Not comparable |
| AA-SciCodeSource | 40.2% | 45.5% | Qwen3.7 Plus leads |
| Terminal-Bench 2.0Source | — | 70.3% | Not comparable |
| SWE-bench VerifiedSource | — | 77.7% | Not comparable |
| SWE-bench ProSource | — | 57.6% | Not comparable |
| SWE MultilingualSource | — | 75.8% | Not comparable |
| NL2RepoSource | — | 41.1% | Not comparable |
| SciCodeSource | — | 51.3% | Not comparable |
| LiveCodeBenchSource | — | 89.6% | Not comparable |
| AA Coding IndexSource | — | 55.9% | Not comparable |
Reasoning3 benchmarks
Knowledge13 benchmarks
| Benchmark | GPT-5.1-Codex-Max | Qwen3.7 Plus | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 34.7% | 39.0% | Qwen3.7 Plus leads |
| AA-GPQA DiamondSource | 86.0% | 90.0% | Qwen3.7 Plus leads |
| AA-HLESource | 23.4% | 33.4% | Qwen3.7 Plus leads |
| AA-Omniscience IndexSource | -6.0% | 2.4% | Qwen3.7 Plus leads |
| AA-Omniscience AccuracySource | 39.2% | 22.2% | GPT-5.1-Codex-Max leads |
| AA-Omniscience Hallucination RateSource | 74.4% | 25.5% | Qwen3.7 Plus leads |
| GPQASource | — | 90.3% | Not comparable |
| GPQA-DSource | — | 90.3% | Not comparable |
| HLESource | — | 34.7% | Not comparable |
| MMLU-ProSource | — | 88.5% | Not comparable |
| MMLU-ReduxSource | — | 94.5% | Not comparable |
| SuperGPQASource | — | 71.4% | Not comparable |
| MMMLUSource | — | 89.0% | Not comparable |
Math3 benchmarks
Multilingual5 benchmarks
Multimodal17 benchmarks
| Benchmark | GPT-5.1-Codex-Max | Qwen3.7 Plus | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 72.5% | 80.5% | Qwen3.7 Plus leads |
| MMMU-ProSource | — | 79% | Not comparable |
| MathVisionSource | — | 90.3% | Not comparable |
| CharXivSource | — | 85.9% | Not comparable |
| ERQASource | — | 69.8% | Not comparable |
| MedXpertQA (MM)Source | — | 71.0% | Not comparable |
| ScreenSpot ProSource | — | 79.0% | Not comparable |
| SimpleVQASource | — | 81.7% | Not comparable |
| MMSearch-PlusSource | — | 41.4% | Not comparable |
| RealWorldQASource | — | 86.9% | Not comparable |
| OmniDocBench 1.5Source | — | 91.4% | Not comparable |
| OCRBench V2Source | — | 70.7% | Not comparable |
| ODINW13Source | — | 51.1% | Not comparable |
| Video-MME (with subtitle)Source | — | 88.0% | Not comparable |
| VideoMMMUSource | — | 85.4% | Not comparable |
| MLVU (M-Avg)Source | — | 87.4% | Not comparable |
| Design Arena WebsiteSource | — | 1288 | Not comparable |
Frequently Asked Questions (3)
Can I compare GPT-5.1-Codex-Max and Qwen3.7 Plus 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 Plus today?
GPT-5.1-Codex-Max: $1.25 input / $10.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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