Qwen3.5 27B vs Qwen3.5 35B A3B
Wins 6 of 8 areas
Coding · Agents · Reasoning · Images and charts · Long documents · Following instructions
Wins 0 of 8 areas
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Qwen3.5 27B is the stronger all-rounder.Qwen3.5 35B A3B is cheaper.
Both rank among the ten best models we track in images and charts.
Scores updated · 89 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.
- CodingWriting and fixing software70Qwen3.5 27B7 of 7 tests
- AgentsCarrying out multi-step tasks on its own40Qwen3.5 27B4 of 5 tests · 1 tie
- Images and chartsUnderstanding pictures, charts and video31Qwen3.5 27B3 of 6 tests · 2 ties
- ReasoningHard problems that need careful thinking20Qwen3.5 27B2 of 3 tests · 1 tie
- Long documentsFinding answers in very long texts20Qwen3.5 27B2 of 2 tests
- Following instructionsDoing exactly what it is asked10Qwen3.5 27B1 of 2 tests · 1 tie
- FactsGetting facts right instead of making them up11Even1 each · 1 tie
- MathCompetition and research-level math11Even1 each · 1 tie
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.
Qwen3.5 35B A3B costs 17% less for the same work.
The biggest differences
The tests each model wins by the widest margin, up to three each. Scores are out of 100.
Where Qwen3.5 27B pulls ahead
- Real work tasks from 44 professionsGDPVal+27.4points ahead
- Finds the root cause of IT system incidentsAA IT-Bench SRE+14points ahead
- Fixes real GitHub issues in many programming languagesSWE-bench Multilingual+9points ahead
Every test, side by side
All 89 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingQwen3.5 27B
- LMArena · WebDevQwen3.5 27B by 107 rating points13571250+107 rating
- SWE-bench MultilingualQwen3.5 27B by 969.360.3+9
- SWE-bench ProQwen3.5 27B by 6.651.244.6+6.6
- LiveCodeBench v6Qwen3.5 27B by 6.180.774.6+6.1
- Terminal-Bench HardQwen3.5 27B by 6.132.626.5+6.1
- SWE-bench VerifiedQwen3.5 27B by 3.272.469.2+3.2
- SciCodeQwen3.5 27B by 1.839.537.7+1.8
AgentsQwen3.5 27B
- GDPValQwen3.5 27B by 27.4335.6+27.4
- AA IT-Bench SREQwen3.5 27B by 1435.521.5+14
- MCP AtlasQwen3.5 27B by 668.462.4+6
- OSWorld-VerifiedQwen3.5 27B by 1.756.254.5+1.7
- BrowseComptie6161tie
ReasoningQwen3.5 27B
- Humanity's Last ExamQwen3.5 27B by 2.923.921+2.9
- GPQA DiamondQwen3.5 27B by 1.385.884.5+1.3
- CritPttie0.90.9tie
FactsEven
- AA-Omniscience · Non-hallucinationQwen3.5 27B by 3.918.514.6+3.9
- Vectara HHEM hallucination ratelower is betterQwen3.5 35B A3B by 1.612.110.5+1.6
- AA-Omniscience · Accuracytie20.720.1tie
Images and chartsQwen3.5 27B
MathEven
- IMOAnswerBenchQwen3.5 27B by 3.179.976.8+3.1
- AIME 2026Qwen3.5 35B A3B by 1.691.793.3+1.6
- HMMT Feb. 2026tie81.181.8tie
Long documentsQwen3.5 27B
- AA-LCRQwen3.5 27B by 5.777.772+5.7
- LongBench v2Qwen3.5 27B by 1.660.659+1.6
Following instructionsQwen3.5 27B
- IFBenchQwen3.5 27B by 3.175.672.5+3.1
- Multi-Challengetie60.860tie
Other results58 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.
- AA Agentic IndexQwen3.5 27B by 42.854.611.8+42.8
- SkillsBench Avg5Qwen3.5 27B by 22.827.24.4+22.8
- VITA-BenchQwen3.5 27B by 1041.931.9+10
- MCPMarkQwen3.5 27B by 9.336.327+9.3
- QwenWebBenchQwen3.5 27B by 90 rating points1068978+90 rating
- BrowseComp-ZHQwen3.5 35B A3B by 7.462.169.5+7.4
- NL2RepoQwen3.5 27B by 6.827.320.5+6.8
- BabyVisionQwen3.5 27B by 6.244.638.4+6.2
- Seal-0Qwen3.5 27B by 5.847.241.4+5.8
- Claw Eval (pass@3)Qwen3.5 35B A3B by 4.846.251+4.8
- τ²-Bench Telecom (AA run)Qwen3.5 27B by 4.793.989.2+4.7
- QwenClawBenchQwen3.5 27B by 4.552.247.7+4.5
- ERQAQwen3.5 35B A3B by 4.360.564.8+4.3
- RefSpatial-BenchQwen3.5 27B by 4.267.763.5+4.2
- AA-OmniscienceQwen3.5 27B by 4.1-44-48.1+4.1
- OJBenchQwen3.5 27B by 4.140.136+4.1
- WideSearchQwen3.5 27B by 461.157.1+4
- AA IntelligenceQwen3.5 27B by 3.622.919.3+3.6
- IFEvalQwen3.5 27B by 3.19591.9+3.1
- HMMT Feb. 2025Qwen3.5 27B by 39289+3
- Tool-DecathlonQwen3.5 27B by 2.831.528.7+2.8
- DynaMathQwen3.5 27B by 2.787.785+2.7
- SimpleVQAQwen3.5 35B A3B by 2.35658.3+2.3
- LVBenchQwen3.5 27B by 2.273.671.4+2.2
- SuperGPQAQwen3.5 27B by 2.265.663.4+2.2
- t2-benchQwen3.5 35B A3B by 2.27981.2+2.2
- Artificial Analysis Coding IndexQwen3.5 35B A3B by 2.134.937+2.1
- HallusionBenchQwen3.5 27B by 2.17067.9+2.1
- MATH-VisionQwen3.5 27B by 2.18683.9+2.1
- ZeroBenchQwen3.5 27B by 2108+2
- IncludeQwen3.5 27B by 1.981.679.7+1.9
- VideoMMMUQwen3.5 27B by 1.982.380.4+1.9
- ScreenSpot-Pro (No tools)Qwen3.5 27B by 1.770.368.6+1.7
- vectara_factual_consistencyQwen3.5 35B A3B by 1.687.989.5+1.6
- EmbSpatial-BenchQwen3.5 27B by 1.484.583.1+1.4
- BFCLv4Qwen3.5 27B by 1.268.567.3+1.2
- MMLU-ProXQwen3.5 27B by 1.282.281+1.2
- Claw-Eval AvgQwen3.5 35B A3B by 1.164.365.4+1.1
- MMBench EN-DEV-v1.1Qwen3.5 27B by 1.192.691.5+1.1
- Terminal-Bench 2.0Qwen3.5 27B by 1.141.640.5+1.1
- MMVUQwen3.5 27B by 173.372.3+1
- MMLU-Protie86.185.3tie
- MMlongBench Doctie60.259.5tie
- MMMLUtie85.985.2tie
- HMMT 2025tie89.889.2tie
- HMMT Nov. 2025tie89.889.2tie
- vectara_avg_summary_lengthtie94.494.9tie
- τ³-Benchtie68.468.9tie
- OmniDocBench 1.5tie88.989.3tie
- RealWorldQAtie83.784.1tie
- AI2Dtie92.992.6tie
- C-Evaltie90.590.2tie
- CC-OCRtie8180.7tie
- MLVUtie85.985.6tie
- DeepPlanningtie22.622.8tie
- MV-Benchtie74.674.8tie
- MMLU-Reduxtie93.293.3tie
- vectara_answer_ratetie99.899.8tie
Questions people ask
Which is better, Qwen3.5 27B or Qwen3.5 35B A3B?
Qwen3.5 27B wins six of the eight areas we test: coding, agents, reasoning, images and charts, long documents and following instructions. Qwen3.5 35B A3B wins none, but costs 17% less. They are level on facts and math.
Which is better for coding?
Qwen3.5 27B. It wins 7 of the 7 coding tests both models report; Qwen3.5 35B A3B wins none.
Which is cheaper?
Qwen3.5 27B costs $0.30 per million input tokens and $2.40 per million output tokens; Qwen3.5 35B A3B costs $0.25 and $2.00. That makes Qwen3.5 35B A3B about 17% cheaper for the same work.
How do you compare the two?
We use the 89 benchmark tests both models have published scores on. The verdict counts the 31 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 58 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.