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Model comparison

Gemini 2.5 Pro vs Qwen3.6-35B-A3B

Data verified

Head-to-head evidence from 21 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

57.1/100
Margin
5.7pts
← winning
51.36/100
0 category wins3 category wins

Verified leaderboard positions: Gemini 2.5 Pro unranked; Qwen3.6-35B-A3B #31

BenchAlign evidence: Gemini 2.5 Pro supported; Qwen3.6-35B-A3B estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemini 2.5 Pro and Qwen3.6-35B-A3B share 21 comparable benchmark results. 3 of 8 categories are comparable. 4 results are unique to Gemini 2.5 Pro; 37 to Qwen3.6-35B-A3B.

Updated July 15, 2026
Shared results
21
Gemini 2.5 Pro only
4
Qwen3.6-35B-A3B only
37
Comparable categories
3 / 8

Treat this as a split decision. Gemini 2.5 Pro makes more sense if you need the larger 1M context window or you would rather avoid the extra latency and token burn of a reasoning model; Qwen3.6-35B-A3B is the better fit if mathematics is the priority or you want the stronger reasoning-first profile.

Confidence note. This is a partial-evidence comparison with 21 shared benchmark results across 6 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Gemini 2.5 Pro and Qwen3.6-35B-A3B finish on the same provisional overall score, so this is less about a single winner and more about where the edge shows up. The provisional headline says tie; the benchmark table is where the real choice happens.

Qwen3.6-35B-A3B is the reasoning model in the pair, while Gemini 2.5 Pro is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Gemini 2.5 Pro gives you the larger context window at 1M, 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 Gemini 2.5 Pro and Qwen3.6-35B-A3B
CategoryGemini 2.5 ProΔQwen3.6-35B-A3B
MathGemini 2.5 Pro11.6Margin→ 76.6Qwen3.6-35B-A3B88.2
KnowledgeGemini 2.5 Pro27.5Margin→ 24.3Qwen3.6-35B-A3B51.8
CodingGemini 2.5 Pro63.8Margin→ 10.0Qwen3.6-35B-A3B73.8
AgenticGemini 2.5 ProNot measuredMarginNo overlapQwen3.6-35B-A3B51.5
MultimodalGemini 2.5 ProNot measuredMarginNo overlapQwen3.6-35B-A3B76.3

Decisive benchmark drivers

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

More
A · Gemini 2.5 ProB · Qwen3.6-35B-A3B

  1. SWE-bench Verified

    Coding
    Source ↗
    A 63.8%B 73.4%
    Winner: Qwen3.6-35B-A3BΔ 9.6
    SWE-bench Verified: Gemini 2.5 Pro scored 63.8%; Qwen3.6-35B-A3B scored 73.4%. Qwen3.6-35B-A3B wins this benchmark.

  2. GPQA

    Knowledge
    Source ↗
    A 83%B 86%
    Winner: Qwen3.6-35B-A3BΔ 3
    GPQA: Gemini 2.5 Pro scored 83%; Qwen3.6-35B-A3B scored 86%. Qwen3.6-35B-A3B wins this benchmark.

  3. HLE

    Knowledge
    Source ↗
    A 18.8%B 21.4%
    Winner: Qwen3.6-35B-A3BΔ 2.6
    HLE: Gemini 2.5 Pro scored 18.8%; Qwen3.6-35B-A3B scored 21.4%. Qwen3.6-35B-A3B wins this benchmark.

Operational comparison

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

MetricGemini 2.5 ProQwen3.6-35B-A3BComparison
Input / output priceUSD per 1M tokensGemini 2.5 Pro$1.25 input / $10 outputQwen3.6-35B-A3BNot availableA complete price comparison is not available.
Generation speedtokens per secondGemini 2.5 Pro117 tok/sQwen3.6-35B-A3BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemini 2.5 Pro21.19 sQwen3.6-35B-A3BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGemini 2.5 Pro1MQwen3.6-35B-A3B262KGemini 2.5 Pro lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGemini 2.5 ProQwen3.6-35B-A3BResult
AA Agentic IndexSource 7.1%21.4%Qwen3.6-35B-A3B leads
τ²-bench resultsSource 54.1%95.3%Qwen3.6-35B-A3B leads
Gert LabsSource 42.01%42.65%Qwen3.6-35B-A3B leads
GDPval-AASource 8.3%27.4%Qwen3.6-35B-A3B leads
GDPval-AASource 6651049Qwen3.6-35B-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
CodingQwen3.6-35B-A3B wins
BenchmarkGemini 2.5 ProQwen3.6-35B-A3BResult
SWE-bench VerifiedSource 63.8%73.4%Qwen3.6-35B-A3B leads
Vibe Code BenchSource 0.40%—Not comparable
AA Coding IndexSource 33.3%41.9%Qwen3.6-35B-A3B leads
Terminal-Bench HardSource 26.5%34.8%Qwen3.6-35B-A3B leads
AA-SciCodeSource 42.8%35.8%Gemini 2.5 Pro leads
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
BenchmarkGemini 2.5 ProQwen3.6-35B-A3BResult
AA-LCRSource 66.0%63.7%Gemini 2.5 Pro leads
CritPtSource 2.6%0.3%Gemini 2.5 Pro leads
KnowledgeQwen3.6-35B-A3B wins
BenchmarkGemini 2.5 ProQwen3.6-35B-A3BResult
GPQASource 83%86%Qwen3.6-35B-A3B leads
HLESource 18.8%21.4%Qwen3.6-35B-A3B leads
Artificial Analysis Intelligence IndexSource 25.8%31.6%Qwen3.6-35B-A3B leads
AA-GPQA DiamondSource 84.4%84.1%Gemini 2.5 Pro leads
AA-HLESource 21.1%20.2%Gemini 2.5 Pro leads
AA-Omniscience IndexSource -14.3%-21.4%Gemini 2.5 Pro leads
AA-Omniscience AccuracySource 39.0%18.9%Gemini 2.5 Pro leads
AA-Omniscience Hallucination RateSource 87.4%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
BenchmarkGemini 2.5 ProQwen3.6-35B-A3BResult
FrontierMath v2 (Tiers 1-3)Source 14.138%—Not comparable
FrontierMath v2 (Tier 4)Source 4.167%—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
Multimodal
BenchmarkGemini 2.5 ProQwen3.6-35B-A3BResult
AA-MMMU-ProSource 74.9%75.0%Qwen3.6-35B-A3B leads
Design Arena WebsiteSource 1201—Not comparable
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
BenchmarkGemini 2.5 ProQwen3.6-35B-A3BResult
AA-IFBenchSource 48.7%64.4%Qwen3.6-35B-A3B leads
Frequently Asked Questions (4)

Which is better, Gemini 2.5 Pro or Qwen3.6-35B-A3B?

Gemini 2.5 Pro and Qwen3.6-35B-A3B are tied on the provisional overall score, so the right pick depends on which category matters most for your use case.

Which is better for knowledge tasks, Gemini 2.5 Pro or Qwen3.6-35B-A3B?

Qwen3.6-35B-A3B has the edge for knowledge tasks in this comparison, averaging 51.8 versus 27.5. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.

Which is better for coding, Gemini 2.5 Pro or Qwen3.6-35B-A3B?

Qwen3.6-35B-A3B has the edge for coding in this comparison, averaging 73.8 versus 63.8. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.

Which is better for math, Gemini 2.5 Pro or Qwen3.6-35B-A3B?

Qwen3.6-35B-A3B has the edge for math in this comparison, averaging 88.2 versus 11.6. Gemini 2.5 Pro stays close enough that the answer can still flip depending on your workload.

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Last updated: July 15, 2026

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