Model comparison
Qwen3 32B vs Qwen3.5 27B
Qwen3.5 27B is the stronger model overall, scoring 41.9 to 39.2 on the Noometry Index.
Last verified . 16 shared benchmarks.
Summary
- They share 16 benchmarks with published results for both. Qwen3 32B scores higher in 3 categories and Qwen3.5 27B in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3.5 27B leads 27.5 to 20.2.
- The biggest single-benchmark swing is LMCA: 17.3% for Qwen3 32B and 34% for Qwen3.5 27B.
- Qwen3.5 27B is cheaper at $0.30 / $2.40 per million input/output tokens, against $0.70 / $2.80 for Qwen3 32B.
- Qwen3.5 27B accepts more context: 262K tokens versus 131K.
Side by side
| Qwen3 32B | Qwen3.5 27B | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 39.2 | 41.9 |
| Released | 2025-04 | 2026-02-23 |
| Weights | Open | Open |
| Context window | 131K | 262K |
| Max output | 16K | 66K |
| Input $ / M tokens | $0.70 | $0.30 |
| Output $ / M tokens | $2.80 | $2.40 |
| Results tracked | 26 | 28 |
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Category by category
Coding Qwen3.5 27B leads
Qwen3 32B: 37.7 (#190), Qwen3.5 27B: 38.9 (#168)
| Benchmark | Qwen3 32B | Qwen3.5 27B |
|---|---|---|
| LMArena Coding | 1358 | 1427 |
| Aider Polyglot | 40% | — |
| LMArena WebDev | — | 1358 |
| SciCode | 35.4% | — |
| WeirdML | — | 39.5% |
| ALE-Bench | — | 349.45 |
Agentic & Tool Use Not comparable
Qwen3 32B: 32.6 (#62), Qwen3.5 27B: —
| Benchmark | Qwen3 32B | Qwen3.5 27B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 48.7% | — |
| Vending-Bench 2 | — | 201.98 |
Reasoning Qwen3.5 27B leads
Qwen3 32B: 20.2 (#241), Qwen3.5 27B: 27.5 (#117)
| Benchmark | Qwen3 32B | Qwen3.5 27B |
|---|---|---|
| LMArena Hard Prompts | 1334 | 1414 |
| DTBench | 67.5% | 82.4% |
| LMCA | 17.3% | 34% |
| Kagi LLM Benchmark | 54.9% | — |
| NYT Connections (extended) | — | 47.9% |
| CritPt | 0.3% | — |
| Chess Puzzles | 5% | — |
| Thematic Generalization | — | 45.5% |
| Epoch Capabilities Index | 138.51 | — |
Math Too close to call
Qwen3 32B: 39.7 (#99), Qwen3.5 27B: 38.8 (#127)
| Benchmark | Qwen3 32B | Qwen3.5 27B |
|---|---|---|
| LMArena Math | 1399 | 1429 |
| MathArena Final-Answer Competitions | — | 56.7% |
| OTIS Mock AIME 2024-2025 | 66.9% | — |
Knowledge Qwen3 32B leads
Qwen3 32B: 40.0 (#125), Qwen3.5 27B: 38.0 (#150)
| Benchmark | Qwen3 32B | Qwen3.5 27B |
|---|---|---|
| Vectara Hallucination Rate | 5.9% | 12.1% |
| LMArena Expert | 1362 | 1428 |
| GPQA Diamond | 65.7% | — |
Multimodal Not comparable
Qwen3 32B: —, Qwen3.5 27B: 39.4 (#59)
| Benchmark | Qwen3 32B | Qwen3.5 27B |
|---|---|---|
| LMArena Vision | — | 1241 |
Multilingual Qwen3.5 27B leads
Qwen3 32B: 45.6 (#167), Qwen3.5 27B: 50.8 (#115)
| Benchmark | Qwen3 32B | Qwen3.5 27B |
|---|---|---|
| LMArena Non-English | 1317 | 1390 |
| LMArena Chinese | 1357 | 1478 |
| LMArena German | 1341 | 1393 |
| LMArena Russian | 1311 | 1390 |
| LMArena French | — | 1410 |
| LMArena Japanese | — | 1345 |
| LMArena Korean | — | 1358 |
| LMArena Spanish | — | 1407 |
Instruction Following Qwen3.5 27B leads
Qwen3 32B: 68.9 (#179), Qwen3.5 27B: 73.5 (#119)
| Benchmark | Qwen3 32B | Qwen3.5 27B |
|---|---|---|
| LMArena Instruction Following | 1305 | 1393 |
Long Context Too close to call
Qwen3 32B: 43.8 (#87), Qwen3.5 27B: 43.1 (#106)
| Benchmark | Qwen3 32B | Qwen3.5 27B |
|---|---|---|
| LMArena Longer Query | 1327 | 1413 |
| Fiction.LiveBench | 74.2% | — |
Writing & Preference Qwen3.5 27B leads
Qwen3 32B: 52.9 (#163), Qwen3.5 27B: 59.3 (#111)
| Benchmark | Qwen3 32B | Qwen3.5 27B |
|---|---|---|
| LMArena Text | 1340 | 1409 |
| LMArena Creative Writing | 1297 | 1362 |
| LMArena Multi-Turn | 1331 | 1410 |
Frequently asked questions
Is Qwen3 32B better than Qwen3.5 27B?
Qwen3.5 27B is the stronger model overall, scoring 41.9 to 39.2 on the Noometry Index.
Which is cheaper, Qwen3 32B or Qwen3.5 27B?
Qwen3.5 27B is cheaper. It lists at $0.30 per million input tokens and $2.40 per million output tokens; Qwen3 32B lists at $0.70 and $2.80.
Is Qwen3 32B or Qwen3.5 27B better for coding?
Qwen3.5 27B scores higher on coding benchmarks: 38.9 versus 37.7 in the Noometry coding category.
Which has the bigger context window?
Qwen3.5 27B does, with 262K tokens against 131K.
How many benchmarks do Qwen3 32B and Qwen3.5 27B share?
16 benchmarks have published results for both models. Qwen3 32B has 26 scored results on Noometry and Qwen3.5 27B has 28.