Model comparison
Qwen3.5 27B vs Step 3.5 Flash
Qwen3.5 27B and Step 3.5 Flash score almost the same on the Noometry Index (41.9 vs 42.3), so choose on price, context window or the category you care about most.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. Qwen3.5 27B scores higher in 5 categories and Step 3.5 Flash in 3 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3.5 27B leads 27.5 to 22.2.
- The biggest single-benchmark swing is NYT Connections (extended): 47.9% for Qwen3.5 27B and 28.4% for Step 3.5 Flash.
- Step 3.5 Flash is cheaper at $0.10 / $0.30 per million input/output tokens, against $0.30 / $2.40 for Qwen3.5 27B.
- Qwen3.5 27B accepts more context: 262K tokens versus 256K.
Side by side
| Qwen3.5 27B | Step 3.5 Flash | |
|---|---|---|
| Provider | Alibaba (Qwen) | StepFun |
| Noometry Index | 41.9 | 42.3 |
| Released | 2026-02-23 | 2026-01-29 |
| Weights | Open | Open |
| Context window | 262K | 256K |
| Max output | 66K | 256K |
| Input $ / M tokens | $0.30 | $0.10 |
| Output $ / M tokens | $2.40 | $0.30 |
| Results tracked | 28 | 19 |
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Category by category
Coding Step 3.5 Flash leads
Qwen3.5 27B: 38.9 (#168), Step 3.5 Flash: 42.4 (#105)
| Benchmark | Qwen3.5 27B | Step 3.5 Flash |
|---|---|---|
| LMArena Coding | 1427 | 1436 |
| LMArena WebDev | 1358 | — |
| WeirdML | 39.5% | — |
| ALE-Bench | 349.45 | — |
Agentic & Tool Use Not comparable
Qwen3.5 27B: —, Step 3.5 Flash: —
| Benchmark | Qwen3.5 27B | Step 3.5 Flash |
|---|---|---|
| Vending-Bench 2 | 201.98 | — |
Reasoning Qwen3.5 27B leads
Qwen3.5 27B: 27.5 (#117), Step 3.5 Flash: 22.2 (#202)
| Benchmark | Qwen3.5 27B | Step 3.5 Flash |
|---|---|---|
| NYT Connections (extended) | 47.9% | 28.4% |
| LMArena Hard Prompts | 1414 | 1411 |
| Thematic Generalization | 45.5% | — |
| DTBench | 82.4% | — |
| LMCA | 34% | — |
Math Step 3.5 Flash leads
Qwen3.5 27B: 38.8 (#127), Step 3.5 Flash: 42.6 (#84)
| Benchmark | Qwen3.5 27B | Step 3.5 Flash |
|---|---|---|
| MathArena Final-Answer Competitions | 56.7% | 66.8% |
| LMArena Math | 1429 | 1408 |
Knowledge Step 3.5 Flash leads
Qwen3.5 27B: 38.0 (#150), Step 3.5 Flash: 39.6 (#132)
| Benchmark | Qwen3.5 27B | Step 3.5 Flash |
|---|---|---|
| LMArena Expert | 1428 | 1421 |
| Vectara Hallucination Rate | 12.1% | — |
Multimodal Not comparable
Qwen3.5 27B: 39.4 (#59), Step 3.5 Flash: —
| Benchmark | Qwen3.5 27B | Step 3.5 Flash |
|---|---|---|
| LMArena Vision | 1241 | — |
Multilingual Too close to call
Qwen3.5 27B: 50.8 (#115), Step 3.5 Flash: 50.5 (#119)
| Benchmark | Qwen3.5 27B | Step 3.5 Flash |
|---|---|---|
| LMArena Non-English | 1390 | 1385 |
| LMArena Chinese | 1478 | 1447 |
| LMArena French | 1410 | 1421 |
| LMArena German | 1393 | 1405 |
| LMArena Japanese | 1345 | 1354 |
| LMArena Korean | 1358 | 1352 |
| LMArena Russian | 1390 | 1385 |
| LMArena Spanish | 1407 | 1419 |
Instruction Following Too close to call
Qwen3.5 27B: 73.5 (#119), Step 3.5 Flash: 73.1 (#124)
| Benchmark | Qwen3.5 27B | Step 3.5 Flash |
|---|---|---|
| LMArena Instruction Following | 1393 | 1385 |
Long Context Too close to call
Qwen3.5 27B: 43.1 (#106), Step 3.5 Flash: 42.8 (#117)
| Benchmark | Qwen3.5 27B | Step 3.5 Flash |
|---|---|---|
| LMArena Longer Query | 1413 | 1402 |
Writing & Preference Too close to call
Qwen3.5 27B: 59.3 (#111), Step 3.5 Flash: 58.8 (#113)
| Benchmark | Qwen3.5 27B | Step 3.5 Flash |
|---|---|---|
| LMArena Text | 1409 | 1403 |
| LMArena Creative Writing | 1362 | 1357 |
| LMArena Multi-Turn | 1410 | 1405 |
Frequently asked questions
Is Qwen3.5 27B better than Step 3.5 Flash?
Qwen3.5 27B and Step 3.5 Flash score almost the same on the Noometry Index (41.9 vs 42.3), so choose on price, context window or the category you care about most.
Which is cheaper, Qwen3.5 27B or Step 3.5 Flash?
Step 3.5 Flash is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; Qwen3.5 27B lists at $0.30 and $2.40.
Is Qwen3.5 27B or Step 3.5 Flash better for coding?
Step 3.5 Flash scores higher on coding benchmarks: 42.4 versus 38.9 in the Noometry coding category.
Which has the bigger context window?
Qwen3.5 27B does, with 262K tokens against 256K.
How many benchmarks do Qwen3.5 27B and Step 3.5 Flash share?
19 benchmarks have published results for both models. Qwen3.5 27B has 28 scored results on Noometry and Step 3.5 Flash has 19.