Qwen3.5 27B vs Qwen3.5 397B A17B
Wins 1 of 8 areas
Agents
Wins 6 of 8 areas
Coding · Reasoning · Images and charts · Math · Long documents · Following instructions
Qwen3.5 397B A17B is the stronger all-rounder.Qwen3.5 27B is cheaper and better at agents.
Scores updated · 55 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 software05Qwen3.5 397B A17B5 of 7 tests · 2 ties
- Images and chartsUnderstanding pictures, charts and video03Qwen3.5 397B A17B3 of 3 tests
- ReasoningHard problems that need careful thinking02Qwen3.5 397B A17B2 of 3 tests · 1 tie
- MathCompetition and research-level math02Qwen3.5 397B A17B2 of 3 tests · 1 tie
- Following instructionsDoing exactly what it is asked02Qwen3.5 397B A17B2 of 2 tests
- Long documentsFinding answers in very long texts01Qwen3.5 397B A17B1 of 2 tests · 1 tie
- AgentsCarrying out multi-step tasks on its own21Qwen3.5 27B2 of 3 tests
- FactsGetting facts right instead of making them up11Even1 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.
Qwen3.5 27B costs 36% 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 397B A17B pulls ahead
- Answers hard knowledge questions correctlyAA-Omniscience · Accuracy+10.1points ahead
- Hard command-line tasks in a real terminalTerminal-Bench Hard+8.3points ahead
- Finds hard-to-locate facts by browsing the webBrowseComp+8points ahead
Where Qwen3.5 27B pulls ahead
- Real work tasks from 44 professionsGDPVal+18.2points ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+7.4points ahead
- Finds the root cause of IT system incidentsAA IT-Bench SRE+1.4points ahead
Every test, side by side
All 55 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingQwen3.5 397B A17B
- Terminal-Bench HardQwen3.5 397B A17B by 8.332.640.9+8.3
- SciCodeQwen3.5 397B A17B by 5.339.544.8+5.3
- LMArena · WebDevQwen3.5 397B A17B by 43 rating points13571400+43 rating
- SWE-bench VerifiedQwen3.5 397B A17B by 472.476.4+4
- LiveCodeBench v6Qwen3.5 397B A17B by 2.980.783.6+2.9
- SWE-bench Protie51.250.9tie
- SWE-bench Multilingualtie69.369.3tie
AgentsQwen3.5 27B
- GDPValQwen3.5 27B by 18.23314.8+18.2
- BrowseCompQwen3.5 397B A17B by 86169+8
- AA IT-Bench SREQwen3.5 27B by 1.435.534.1+1.4
ReasoningQwen3.5 397B A17B
- Humanity's Last ExamQwen3.5 397B A17B by 5.123.929+5.1
- GPQA DiamondQwen3.5 397B A17B by 3.585.889.3+3.5
- CritPttie0.91.7tie
FactsEven
- AA-Omniscience · AccuracyQwen3.5 397B A17B by 10.120.730.8+10.1
- AA-Omniscience · Non-hallucinationQwen3.5 27B by 7.418.511.1+7.4
Images and chartsQwen3.5 397B A17B
- MMMUQwen3.5 397B A17B by 2.782.385+2.7
- LMArena · VisionQwen3.5 397B A17B by 24 rating points12401264+24 rating
- MMMU-ProQwen3.5 397B A17B by 2.37577.3+2.3
MathQwen3.5 397B A17B
- HMMT Feb. 2026Qwen3.5 397B A17B by 6.881.187.9+6.8
- IMOAnswerBenchQwen3.5 397B A17B by 179.980.9+1
- AIME 2026tie91.791.3tie
Long documentsQwen3.5 397B A17B
- LongBench v2Qwen3.5 397B A17B by 2.660.663.2+2.6
- AA-LCRtie77.777.3tie
Following instructionsQwen3.5 397B A17B
- Multi-ChallengeQwen3.5 397B A17B by 6.860.867.6+6.8
- IFBenchQwen3.5 397B A17B by 3.275.678.8+3.2
Other results30 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 4454.610.6+44
- AA-OmniscienceQwen3.5 397B A17B by 13.3-44-30.8+13.3
- Artificial Analysis Coding IndexQwen3.5 397B A17B by 13.334.948.2+13.3
- WideSearchQwen3.5 397B A17B by 12.961.174+12.9
- QwenWebBenchQwen3.5 397B A17B by 118 rating points10681186+118 rating
- DeepPlanningQwen3.5 397B A17B by 11.722.634.3+11.7
- Terminal-Bench 2.0Qwen3.5 397B A17B by 10.941.652.5+10.9
- MCPMarkQwen3.5 397B A17B by 9.836.346.1+9.8
- BrowseComp-ZHQwen3.5 397B A17B by 8.262.170.3+8.2
- VITA-BenchQwen3.5 397B A17B by 7.841.949.7+7.8
- t2-benchQwen3.5 397B A17B by 7.77986.7+7.7
- Claw-Eval AvgQwen3.5 397B A17B by 6.464.370.7+6.4
- NL2RepoQwen3.5 397B A17B by 4.927.332.2+4.9
- SuperGPQAQwen3.5 397B A17B by 4.865.670.4+4.8
- AA IntelligenceQwen3.5 27B by 4.522.918.4+4.5
- BFCLv4Qwen3.5 397B A17B by 4.468.572.9+4.4
- IncludeQwen3.5 397B A17B by 481.685.6+4
- HMMT 2025Qwen3.5 397B A17B by 2.989.892.7+2.9
- HMMT Nov. 2025Qwen3.5 397B A17B by 2.989.892.7+2.9
- HMMT Feb. 2025Qwen3.5 397B A17B by 2.89294.8+2.8
- SkillsBench Avg5Qwen3.5 397B A17B by 2.827.230+2.8
- MMMLUQwen3.5 397B A17B by 2.685.988.5+2.6
- C-EvalQwen3.5 397B A17B by 2.590.593+2.5
- MMLU-ProXQwen3.5 397B A17B by 2.582.284.7+2.5
- IFEvalQwen3.5 27B by 2.49592.6+2.4
- MMLU-ProQwen3.5 397B A17B by 1.786.187.8+1.7
- MMLU-ReduxQwen3.5 397B A17B by 1.793.294.9+1.7
- τ²-Bench Telecom (AA run)Qwen3.5 397B A17B by 1.793.995.6+1.7
- QwenClawBenchtie52.251.8tie
- Seal-0tie47.246.9tie
Questions people ask
Which is better, Qwen3.5 27B or Qwen3.5 397B A17B?
Qwen3.5 397B A17B wins six of the eight areas we test: coding, reasoning, images and charts, math, long documents and following instructions. Qwen3.5 27B wins agents, and costs 36% less. They are level on facts.
Which is better for coding?
Qwen3.5 397B A17B. It wins 5 of the 7 coding tests both models report; Qwen3.5 27B wins none, and 2 are ties.
Which is cheaper?
Qwen3.5 27B costs $0.30 per million input tokens and $2.40 per million output tokens; Qwen3.5 397B A17B costs $0.60 and $3.60. That makes Qwen3.5 27B about 36% cheaper for the same work.
How do you compare the two?
We use the 55 benchmark tests both models have published scores on. The verdict counts the 25 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 30 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.