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Model comparison

GPT-5.1-Codex-Max vs Qwen3.6-35B-A3B

Data verified

Head-to-head evidence from 13 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

54.21/100
Margin
2.9pts
← winning
51.36/100
0 category wins0 category wins

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 scores and score margins for GPT-5.1-Codex-Max and Qwen3.6-35B-A3B
CategoryGPT-5.1-Codex-MaxΔQwen3.6-35B-A3B
AgenticGPT-5.1-Codex-MaxNot measuredMarginNo overlapQwen3.6-35B-A3B51.5
CodingGPT-5.1-Codex-MaxNot measuredMarginNo overlapQwen3.6-35B-A3B73.8
KnowledgeGPT-5.1-Codex-MaxNot measuredMarginNo overlapQwen3.6-35B-A3B51.8
MathGPT-5.1-Codex-MaxNot measuredMarginNo overlapQwen3.6-35B-A3B88.2
MultimodalGPT-5.1-Codex-MaxNot measuredMarginNo overlapQwen3.6-35B-A3B76.3

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricGPT-5.1-Codex-MaxQwen3.6-35B-A3BComparison
Input / output priceUSD per 1M tokensGPT-5.1-Codex-Max$1.25 input / $10 outputQwen3.6-35B-A3BNot availableA complete price comparison is not available.
Generation speedtokens per secondGPT-5.1-Codex-MaxNot availableQwen3.6-35B-A3BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.1-Codex-MaxNot availableQwen3.6-35B-A3BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.1-Codex-Max400KQwen3.6-35B-A3B262KGPT-5.1-Codex-Max lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-5.1-Codex-MaxQwen3.6-35B-A3BResult
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 1397Not 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 1049Not comparable
Gert LabsSource 42.65%Not comparable
Coding
BenchmarkGPT-5.1-Codex-MaxQwen3.6-35B-A3BResult
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
Reasoning
BenchmarkGPT-5.1-Codex-MaxQwen3.6-35B-A3BResult
AA-LCRSource 67.3%63.7%GPT-5.1-Codex-Max leads
CritPtSource 5.7%0.3%GPT-5.1-Codex-Max leads
Knowledge
BenchmarkGPT-5.1-Codex-MaxQwen3.6-35B-A3BResult
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
Math
BenchmarkGPT-5.1-Codex-MaxQwen3.6-35B-A3BResult
HMMT Feb 2025Source 90.7%Not comparable
HMMT Nov 2025Source 89.1%Not comparable
HMMT Feb 2026Source 83.6%Not comparable
MMAnswerBenchSource 78.9%Not comparable
AIME26Source 92.7%Not comparable
Multimodal
BenchmarkGPT-5.1-Codex-MaxQwen3.6-35B-A3BResult
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. Following
BenchmarkGPT-5.1-Codex-MaxQwen3.6-35B-A3BResult
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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Last updated: July 15, 2026

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