Model comparison
GPT-5.1-Codex-Max vs Qwen3.6-35B-A3B
Head-to-head evidence from 13 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: GPT-5.1-Codex-Max unranked; Qwen3.6-35B-A3B #31
BenchAlign evidence: GPT-5.1-Codex-Max estimated; Qwen3.6-35B-A3B estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.1-Codex-Max and Qwen3.6-35B-A3B share 13 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to GPT-5.1-Codex-Max; 45 to Qwen3.6-35B-A3B.
Updated July 15, 2026- Shared results
- 13
- GPT-5.1-Codex-Max only
- 1
- Qwen3.6-35B-A3B only
- 45
- Comparable categories
- 0 / 8
Benchmark data for GPT-5.1-Codex-Max and Qwen3.6-35B-A3B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 13 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.
GPT-5.1-Codex-Max has the larger context window at 400K, compared with 262K for Qwen3.6-35B-A3B.
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 | Qwen3.6-35B-A3B |
|---|---|---|---|
| Agentic | GPT-5.1-Codex-MaxNot measured | MarginNo overlap | Qwen3.6-35B-A3B51.5 |
| Coding | GPT-5.1-Codex-MaxNot measured | MarginNo overlap | Qwen3.6-35B-A3B73.8 |
| Knowledge | GPT-5.1-Codex-MaxNot measured | MarginNo overlap | Qwen3.6-35B-A3B51.8 |
| Math | GPT-5.1-Codex-MaxNot measured | MarginNo overlap | Qwen3.6-35B-A3B88.2 |
| Multimodal | GPT-5.1-Codex-MaxNot measured | MarginNo overlap | Qwen3.6-35B-A3B76.3 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.1-Codex-Max | Qwen3.6-35B-A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.1-Codex-Max$1.25 input / $10 output | Qwen3.6-35B-A3BNot available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.1-Codex-MaxNot available | Qwen3.6-35B-A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.1-Codex-MaxNot available | Qwen3.6-35B-A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.1-Codex-Max400K | Qwen3.6-35B-A3B262K | GPT-5.1-Codex-Max lists the larger context window. |
Benchmark Deep Dive
Agentic15 benchmarks
| Benchmark | GPT-5.1-Codex-Max | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| τ²-bench resultsSource | 83% | 95.3% | Qwen3.6-35B-A3B leads |
| Terminal-Bench 2.0Source | — | 51.5% | Not comparable |
| Claw-EvalSource | — | 68.7% | Not comparable |
| QwenClawBenchSource | — | 52.6% | Not comparable |
| QwenWebBenchSource | — | 1397 | Not comparable |
| τ³-bench resultsSource | — | 67.2% | Not comparable |
| VITA-BenchSource | — | 35.6% | Not comparable |
| DeepPlanningSource | — | 25.9% | Not comparable |
| ToolathlonSource | — | 26.9% | Not comparable |
| MCP AtlasSource | — | 62.8% | Not comparable |
| WideResearchSource | — | 60.1% | Not comparable |
| AA Agentic IndexSource | — | 21.4% | Not comparable |
| GDPval-AASource | — | 27.4% | Not comparable |
| GDPval-AASource | — | 1049 | Not comparable |
| Gert LabsSource | — | 42.65% | Not comparable |
Coding10 benchmarks
| Benchmark | GPT-5.1-Codex-Max | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| Vibe Code BenchSource | 22.17% | — | Not comparable |
| Terminal-Bench HardSource | 34.8% | 34.8% | Tie |
| AA-SciCodeSource | 40.2% | 35.8% | GPT-5.1-Codex-Max leads |
| SWE-bench VerifiedSource | — | 73.4% | Not comparable |
| SWE MultilingualSource | — | 67.2% | Not comparable |
| SWE-bench ProSource | — | 49.5% | Not comparable |
| Terminal-Bench 2.0Source | — | 51.5% | Not comparable |
| LiveCodeBenchSource | — | 80.4% | Not comparable |
| NL2RepoSource | — | 29.4% | Not comparable |
| AA Coding IndexSource | — | 41.9% | Not comparable |
Reasoning2 benchmarks
Knowledge11 benchmarks
| Benchmark | GPT-5.1-Codex-Max | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 34.7% | 31.6% | GPT-5.1-Codex-Max leads |
| AA-GPQA DiamondSource | 86.0% | 84.1% | GPT-5.1-Codex-Max leads |
| AA-HLESource | 23.4% | 20.2% | GPT-5.1-Codex-Max leads |
| AA-Omniscience IndexSource | -6.0% | -21.4% | GPT-5.1-Codex-Max leads |
| AA-Omniscience AccuracySource | 39.2% | 18.9% | GPT-5.1-Codex-Max leads |
| AA-Omniscience Hallucination RateSource | 74.4% | 49.7% | Qwen3.6-35B-A3B leads |
| MMLU-ProSource | — | 85.2% | Not comparable |
| SuperGPQASource | — | 64.7% | Not comparable |
| C-EvalSource | — | 90% | Not comparable |
| GPQASource | — | 86% | Not comparable |
| HLESource | — | 21.4% | Not comparable |
Math5 benchmarks
Multimodal15 benchmarks
| Benchmark | GPT-5.1-Codex-Max | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 72.5% | 75.0% | Qwen3.6-35B-A3B leads |
| MMMUSource | — | 81.7% | Not comparable |
| MMMU-ProSource | — | 75.3% | Not comparable |
| RealWorldQASource | — | 85.3% | Not comparable |
| OmniDocBench 1.5Source | — | 89.9% | Not comparable |
| CharXivSource | — | 78% | Not comparable |
| SimpleVQASource | — | 58.9% | Not comparable |
| CC-OCRSource | — | 81.9% | Not comparable |
| AI2D_TESTSource | — | 92.7% | Not comparable |
| RefCOCO (avg)Source | — | 92.0% | Not comparable |
| ODINW13Source | — | 50.8% | Not comparable |
| Video-MME (with subtitle)Source | — | 86.6% | Not comparable |
| Video-MME (w/o subtitle)Source | — | 82.5% | Not comparable |
| VideoMMMUSource | — | 83.7% | Not comparable |
| MLVU (M-Avg)Source | — | 86.2% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GPT-5.1-Codex-Max | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| AA-IFBenchSource | 70.0% | 64.4% | GPT-5.1-Codex-Max leads |
Frequently Asked Questions (3)
Can I compare GPT-5.1-Codex-Max and Qwen3.6-35B-A3B 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 Qwen3.6-35B-A3B 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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