Gemma 4 26B A4B vs Qwen3.5 35B A3B
Wins 0 of 8 areas
—
Wins 7 of 8 areas
Coding · Agents · Reasoning · Facts · Images and charts · Math · Long documents
Qwen3.5 35B A3B is the stronger all-rounder.Gemma 4 26B A4B is cheaper.
Scores updated · 80 tests both models report · How we compare
Where each one wins
Tests won in each of the eight areas we test. Each piece is one test, so a longer bar means more evidence; grey means the two scored within a point of each other.
- Images and chartsUnderstanding pictures, charts and video04Qwen3.5 35B A3B4 of 4 tests
- MathCompetition and research-level math03Qwen3.5 35B A3B3 of 3 tests
- CodingWriting and fixing software35Qwen3.5 35B A3B5 of 8 tests
- ReasoningHard problems that need careful thinking02Qwen3.5 35B A3B2 of 3 tests · 1 tie
- AgentsCarrying out multi-step tasks on its own23Qwen3.5 35B A3B3 of 5 tests
- FactsGetting facts right instead of making them up12Qwen3.5 35B A3B2 of 3 tests
- Long documentsFinding answers in very long texts01Qwen3.5 35B A3B1 of 1 test
- Following instructionsDoing exactly what it is asked00Even0 each · 1 tie
Long documents and following instructions rest on a single test each.
What it costs
Prices per million tokens, roughly 750,000 words. The bars show the cost of a million tokens read plus a million written.
Gemma 4 26B A4B costs 76% less for the same work.
The biggest differences
The three tests each model wins by the widest margin. Scores are out of 100.
Where Qwen3.5 35B A3B pulls ahead
- Fixes real GitHub issues in Python projectsSWE-bench Verified+51.8points ahead
- Fixes real GitHub issues in many programming languagesSWE-bench Multilingual+43points ahead
- Finds hard-to-locate facts by browsing the webBrowseComp+34.7points ahead
Where Gemma 4 26B A4B pulls ahead
- Customer-service tasks in a simulated bankτ-Bench V3 · Banking+7.1points ahead
- Recent programming contest problemsLiveCodeBench v6+2.5points ahead
- Code for real scientific research problemsSciCode+2.3points ahead
Every test, side by side
All 80 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingQwen3.5 35B A3B
- SWE-bench VerifiedQwen3.5 35B A3B by 51.817.469.2+51.8
- SWE-bench MultilingualQwen3.5 35B A3B by 4317.360.3+43
- SWE-bench ProQwen3.5 35B A3B by 30.813.844.6+30.8
- Terminal-Bench HardQwen3.5 35B A3B by 12.913.626.5+12.9
- LMArena · WebDevGemma 4 26B A4B by 109 rating points13591250+109 rating
- LiveCodeBench v6Gemma 4 26B A4B by 2.577.174.6+2.5
- SciCodeGemma 4 26B A4B by 2.34037.7+2.3
- Terminal-Bench 2.1Qwen3.5 35B A3B by 1.83940.8+1.8
AgentsQwen3.5 35B A3B
- BrowseCompQwen3.5 35B A3B by 34.726.361+34.7
- MCP AtlasQwen3.5 35B A3B by 12.45062.4+12.4
- τ-Bench V3 · BankingGemma 4 26B A4B by 7.1124.9+7.1
- GDPValQwen3.5 35B A3B by 2.23.45.6+2.2
- AA IT-Bench SREGemma 4 26B A4B by 2.123.621.5+2.1
ReasoningQwen3.5 35B A3B
- GPQA DiamondQwen3.5 35B A3B by 5.379.284.5+5.3
- Humanity's Last ExamQwen3.5 35B A3B by 1.719.321+1.7
- CritPttie00.9tie
FactsQwen3.5 35B A3B
- Vectara HHEM hallucination ratelower is betterGemma 4 26B A4B by 5.35.210.5+5.3
- AA-Omniscience · AccuracyQwen3.5 35B A3B by 119.120.1+1
- AA-Omniscience · Non-hallucinationQwen3.5 35B A3B by 113.614.6+1
Images and chartsQwen3.5 35B A3B
- CharXiv (RQ)Qwen3.5 35B A3B by 8.56977.5+8.5
- MathVistaQwen3.5 35B A3B by 6.879.486.2+6.8
- MMMU-ProQwen3.5 35B A3B by 3.569.272.7+3.5
- MMMUQwen3.5 35B A3B by 378.481.4+3
MathQwen3.5 35B A3B
- AIME 2026Qwen3.5 35B A3B by 588.393.3+5
- HMMT Feb. 2026Qwen3.5 35B A3B by 2.87981.8+2.8
- IMOAnswerBenchQwen3.5 35B A3B by 2.574.376.8+2.5
Other results52 tests, not counted
Tests outside the eight areas. They are not counted above: several are summary scores built from other tests, or the same test under another name.
- τ²-Bench Telecom (AA run)Qwen3.5 35B A3B by 45.643.689.2+45.6
- vectara_avg_summary_lengthQwen3.5 35B A3B by 27.867.194.9+27.8
- Claw Eval (pass@3)Qwen3.5 35B A3B by 232851+23
- QwenWebBenchGemma 4 26B A4B by 200 rating points1178978+200 rating
- WideSearchQwen3.5 35B A3B by 18.838.357.1+18.8
- Tool-DecathlonQwen3.5 35B A3B by 16.71228.7+16.7
- HumanEvalQwen3.5 35B A3B by 16.55066.5+16.5
- RULER 1MGemma 4 26B A4B by 16.572.956.4+16.5
- Minerva MathQwen3.5 35B A3B by 1643.759.7+16
- OmniDocBench 1.5Qwen3.5 35B A3B by 14.974.489.3+14.9
- MCPMarkQwen3.5 35B A3B by 12.814.227+12.8
- RealWorldQAQwen3.5 35B A3B by 11.972.284.1+11.9
- τ³-BenchQwen3.5 35B A3B by 9.95968.9+9.9
- QwenClawBenchQwen3.5 35B A3B by 938.747.7+9
- NL2RepoQwen3.5 35B A3B by 8.911.620.5+8.9
- SkillsBench Avg5Gemma 4 26B A4B by 7.912.34.4+7.9
- C-EvalQwen3.5 35B A3B by 7.782.590.2+7.7
- Claw-Eval AvgQwen3.5 35B A3B by 6.658.865.4+6.6
- DeepPlanningQwen3.5 35B A3B by 6.616.222.8+6.6
- Terminal-Bench 2.0Qwen3.5 35B A3B by 6.334.240.5+6.3
- CC-OCRQwen3.5 35B A3B by 6.274.580.7+6.2
- Global-MMLU-Lite (5-shot) AverageQwen3.5 35B A3B by 6.174.880.9+6.1
- SimpleVQAQwen3.5 35B A3B by 6.152.258.3+6.1
- vectara_factual_consistencyGemma 4 26B A4B by 5.394.889.5+5.3
- VITA-BenchGemma 4 26B A4B by 536.931.9+5
- OpenBookQAGemma 4 26B A4B by 4.648.844.2+4.6
- AI2DQwen3.5 35B A3B by 4.388.392.6+4.3
- t2-benchGemma 4 26B A4B by 4.385.581.2+4.3
- MMLUQwen3.5 35B A3B by 3.377.881.1+3.3
- RULER 256KGemma 4 26B A4B by 3.385.782.4+3.3
- AA-OmniscienceQwen3.5 35B A3B by 2.7-50.8-48.1+2.7
- HMMT Feb. 2025Gemma 4 26B A4B by 2.791.789+2.7
- MMLU-ProQwen3.5 35B A3B by 2.782.685.3+2.7
- AA IntelligenceQwen3.5 35B A3B by 2.616.719.3+2.6
- ARC-ChallengeQwen3.5 35B A3B by 2.692.895.4+2.6
- MMBench EN-DEV-v1.1Qwen3.5 35B A3B by 2.58991.5+2.5
- MBPPQwen3.5 35B A3B by 2.468.470.8+2.4
- Artificial Analysis Coding IndexGemma 4 26B A4B by 2.339.337+2.3
- SuperGPQAQwen3.5 35B A3B by 261.463.4+2
- GPQA (unspecified)Qwen3.5 35B A3B by 1.982.384.2+1.9
- HallusionBenchQwen3.5 35B A3B by 1.866.167.9+1.8
- HMMT Nov. 2025Qwen3.5 35B A3B by 1.787.589.2+1.7
- MATH-VisionQwen3.5 35B A3B by 1.582.483.9+1.5
- PIQA (acc-norm)Gemma 4 26B A4B by 1.383.882.5+1.3
- MMMLUGemma 4 26B A4B by 1.186.385.2+1.1
- AA Agentic Indextie1111.8tie
- MMLU-Reduxtie92.793.3tie
- IFEvaltie91.491.9tie
- HellaSwagtie85.385.6tie
- PIQA (Acc.)tie82.282.3tie
- WinoGrandetie79.179.2tie
- vectara_answer_ratetie99.899.8tie
Questions people ask
Which is better, Gemma 4 26B A4B or Qwen3.5 35B A3B?
Qwen3.5 35B A3B wins seven of the eight areas we test: coding, agents, reasoning, facts, images and charts, math and long documents. Gemma 4 26B A4B wins none, but costs 76% less. They are level on following instructions.
Which is better for coding?
Qwen3.5 35B A3B. It wins 5 of the 8 coding tests both models report; Gemma 4 26B A4B wins 3.
Which is cheaper?
Gemma 4 26B A4B costs $0.13 per million input tokens and $0.40 per million output tokens; Qwen3.5 35B A3B costs $0.25 and $2.00. That makes Gemma 4 26B A4B about 76% cheaper for the same work.
How do you compare the two?
We use the 80 benchmark tests both models have published scores on. The verdict counts the 28 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 52 are listed but not counted, because several are summary scores or repeat a test. Each score is the one shown on the model's own page.