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Model comparison

GPT-5.4 nano vs Qwen3.6-35B-A3B

Data verified

Head-to-head evidence from 23 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

66.72/100
Margin
15.4pts
← winning
51.36/100
0 category wins4 category wins

Verified leaderboard positions: GPT-5.4 nano unranked; Qwen3.6-35B-A3B #31

BenchAlign evidence: GPT-5.4 nano supported; Qwen3.6-35B-A3B estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.4 nano and Qwen3.6-35B-A3B share 23 comparable benchmark results. 4 of 8 categories are comparable. 7 results are unique to GPT-5.4 nano; 35 to Qwen3.6-35B-A3B.

Updated July 15, 2026
Shared results
23
GPT-5.4 nano only
7
Qwen3.6-35B-A3B only
35
Comparable categories
4 / 8

Pick GPT-5.4 nano if you want the stronger benchmark profile. Qwen3.6-35B-A3B only becomes the better choice if mathematics is the priority.

Confidence note. This is a partial-evidence comparison with 23 shared benchmark results across 6 evidence categories; 4 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

GPT-5.4 nano finishes one point ahead on BenchLM's provisional leaderboard, 60 to 59. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.

GPT-5.4 nano gives you 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-5.4 nano and Qwen3.6-35B-A3B
CategoryGPT-5.4 nanoΔQwen3.6-35B-A3B
MathGPT-5.4 nano21.0Margin→ 67.2Qwen3.6-35B-A3B88.2
MultimodalGPT-5.4 nano66.1Margin→ 10.2Qwen3.6-35B-A3B76.3
AgenticGPT-5.4 nano42.9Margin→ 8.6Qwen3.6-35B-A3B51.5
KnowledgeGPT-5.4 nano43.8Margin→ 8.0Qwen3.6-35B-A3B51.8
CodingGPT-5.4 nanoNot measuredMarginNo overlapQwen3.6-35B-A3B73.8

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · GPT-5.4 nanoB · Qwen3.6-35B-A3B

  1. HLE

    Knowledge
    Source ↗
    A 37.7%B 21.4%
    Winner: GPT-5.4 nanoΔ 16.3
    HLE: GPT-5.4 nano scored 37.7%; Qwen3.6-35B-A3B scored 21.4%. GPT-5.4 nano wins this benchmark.

  2. MMMU-Pro

    Multimodal
    Source ↗
    A 66.1%B 75.3%
    Winner: Qwen3.6-35B-A3BΔ 9.2
    MMMU-Pro: GPT-5.4 nano scored 66.1%; Qwen3.6-35B-A3B scored 75.3%. Qwen3.6-35B-A3B wins this benchmark.

  3. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 46.3%B 51.5%
    Winner: Qwen3.6-35B-A3BΔ 5.2
    Terminal-Bench 2.0: GPT-5.4 nano scored 46.3%; Qwen3.6-35B-A3B scored 51.5%. Qwen3.6-35B-A3B wins this benchmark.

  4. GPQA

    Knowledge
    Source ↗
    A 82.8%B 86%
    Winner: Qwen3.6-35B-A3BΔ 3.2
    GPQA: GPT-5.4 nano scored 82.8%; Qwen3.6-35B-A3B scored 86%. Qwen3.6-35B-A3B wins this benchmark.

Operational comparison

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

MetricGPT-5.4 nanoQwen3.6-35B-A3BComparison
Input / output priceUSD per 1M tokensGPT-5.4 nano$0.2 input / $1.25 outputQwen3.6-35B-A3BNot availableA complete price comparison is not available.
Generation speedtokens per secondGPT-5.4 nano191 tok/sQwen3.6-35B-A3BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.4 nano3.64 sQwen3.6-35B-A3BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.4 nano400KQwen3.6-35B-A3B262KGPT-5.4 nano lists the larger context window.

Benchmark Deep Dive

AgenticQwen3.6-35B-A3B wins
BenchmarkGPT-5.4 nanoQwen3.6-35B-A3BResult
Terminal-Bench 2.0Source 46.3%51.5%Qwen3.6-35B-A3B leads
OSWorld-VerifiedSource 39%—Not comparable
MCP AtlasSource 56.1%62.8%Qwen3.6-35B-A3B leads
ToolathlonSource 35.5%26.9%GPT-5.4 nano leads
τ²-bench resultsSource 92.5%95.3%Qwen3.6-35B-A3B leads
AA Agentic IndexSource 27.5%21.4%GPT-5.4 nano leads
APEX-Agents-AASource 24.9%—Not comparable
GDPval-AASource 30.0%27.4%GPT-5.4 nano leads
GDPval-AASource 11001049GPT-5.4 nano leads
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
WideResearchSource —60.1%Not comparable
Gert LabsSource —42.65%Not comparable
Coding
BenchmarkGPT-5.4 nanoQwen3.6-35B-A3BResult
Vibe Code BenchSource 26.10%—Not comparable
AA Coding IndexSource 56.1%41.9%GPT-5.4 nano leads
Terminal-Bench HardSource 42.4%34.8%GPT-5.4 nano leads
AA-SciCodeSource 46.9%35.8%GPT-5.4 nano 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
Reasoning
BenchmarkGPT-5.4 nanoQwen3.6-35B-A3BResult
AA-LCRSource 66.0%63.7%GPT-5.4 nano leads
CritPtSource 9.3%0.3%GPT-5.4 nano leads
KnowledgeQwen3.6-35B-A3B wins
BenchmarkGPT-5.4 nanoQwen3.6-35B-A3BResult
GPQASource 82.8%86%Qwen3.6-35B-A3B leads
HLESource 37.7%21.4%GPT-5.4 nano leads
HLE w/o toolsSource 24.3%—Not comparable
Artificial Analysis Intelligence IndexSource 38.2%31.6%GPT-5.4 nano leads
AA-GPQA DiamondSource 81.7%84.1%Qwen3.6-35B-A3B leads
AA-HLESource 26.5%20.2%GPT-5.4 nano leads
AA-Omniscience IndexSource -29.5%-21.4%Qwen3.6-35B-A3B leads
AA-Omniscience AccuracySource 25.4%18.9%GPT-5.4 nano leads
AA-Omniscience Hallucination RateSource 73.6%49.7%Qwen3.6-35B-A3B leads
MMLU-ProSource —85.2%Not comparable
SuperGPQASource —64.7%Not comparable
C-EvalSource —90%Not comparable
MathQwen3.6-35B-A3B wins
BenchmarkGPT-5.4 nanoQwen3.6-35B-A3BResult
FrontierMath v2 (Tiers 1-3)Source 25.860%—Not comparable
FrontierMath v2 (Tier 4)Source 6.250%—Not comparable
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
MultimodalQwen3.6-35B-A3B wins
BenchmarkGPT-5.4 nanoQwen3.6-35B-A3BResult
MMMU-ProSource 66.1%75.3%Qwen3.6-35B-A3B leads
MMMU-Pro w/ PythonSource 69.5%—Not comparable
AA-MMMU-ProSource 65.4%75.0%Qwen3.6-35B-A3B leads
MMMUSource —81.7%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-5.4 nanoQwen3.6-35B-A3BResult
AA-IFBenchSource 75.9%64.4%GPT-5.4 nano leads
Frequently Asked Questions (5)

Which is better, GPT-5.4 nano or Qwen3.6-35B-A3B?

GPT-5.4 nano is ahead on BenchLM's provisional leaderboard, 60 to 59. The biggest single separator in this matchup is HLE, where the scores are 37.7% and 21.4%.

Which is better for knowledge tasks, GPT-5.4 nano or Qwen3.6-35B-A3B?

Qwen3.6-35B-A3B has the edge for knowledge tasks in this comparison, averaging 51.8 versus 43.8. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.

Which is better for math, GPT-5.4 nano or Qwen3.6-35B-A3B?

Qwen3.6-35B-A3B has the edge for math in this comparison, averaging 88.2 versus 21. GPT-5.4 nano stays close enough that the answer can still flip depending on your workload.

Which is better for agentic tasks, GPT-5.4 nano or Qwen3.6-35B-A3B?

Qwen3.6-35B-A3B has the edge for agentic tasks in this comparison, averaging 51.5 versus 42.9. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.

Which is better for multimodal and grounded tasks, GPT-5.4 nano or Qwen3.6-35B-A3B?

Qwen3.6-35B-A3B has the edge for multimodal and grounded tasks in this comparison, averaging 76.3 versus 66.1. Inside this category, AA-MMMU-Pro is the benchmark that creates the most daylight between them.

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