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Step 3.7 FlashvsQwen3.6-35B-A3B

Across 3 shared benchmarks, Step 3.7 Flash leads overall: Step 3.7 Flash wins 2, Qwen3.6-35B-A3B wins 1, with 0 ties and an average score difference of +5.68.

StepFunAI
Step 3.7 Flash

StepFunAI · 2026-05-29 · Reasoning model

阿里巴巴
Qwen3.6-35B-A3B

阿里巴巴 · 2026-04-16 · Reasoning model

Step 3.7 Flash2 wins(67%)(33%)1 winQwen3.6-35B-A3B

Benchmark scores

Grouped by capability, sorted by largest gap within each. 3 shared benchmarks.

Coding and Software Engineer

Step 3.7 Flash 1/1
BenchmarkStep 3.7 FlashQwen3.6-35B-A3BDiff
SWE-Bench Pro - Public56.3027 / 59Thinking (With Tools)49.5048 / 59Thinking (No Tools)+6.80

General Knowledge

Step 3.7 Flash 1/1
BenchmarkStep 3.7 FlashQwen3.6-35B-A3BDiff
HLE47.2041 / 185Thinking (With Tools)21.40127 / 185Thinking (No Tools)+25.80

Text Embedding

Qwen3.6-35B-A3B 1/1
BenchmarkStep 3.7 FlashQwen3.6-35B-A3BDiff
Context Arena37.65101 / 126Thinking Medium (No Tools)53.2084 / 126Normal (No Tools)-15.55

Specs

FieldStep 3.7 FlashQwen3.6-35B-A3B
PublisherStepFunAI阿里巴巴
Release date2026-05-292026-04-16
Model typeReasoning modelReasoning model
ArchitectureMoEMoE
Parameters198B35B
Context length256K200K
Max outputNot available80K

API pricing

Prices use DataLearner records when available; missing fields are not inferred.

ItemStep 3.7 FlashQwen3.6-35B-A3B
Text input¥1.35 / 1M tokensNot public
Text output¥8.1 / 1M tokensNot public
Cache read¥0.27 / 1M tokensNot public

One or both models have incomplete public pricing.

Summary

  • Step 3.7 Flashleads in:Coding and Software Engineer (1/1), General Knowledge (1/1)
  • Qwen3.6-35B-A3Bleads in:Text Embedding (1/1)

On average across the 3 shared benchmarks, Step 3.7 Flash scores 5.68 higher.

Largest single-benchmark gap: HLE — Step 3.7 Flash 47.20 vs Qwen3.6-35B-A3B 21.40 (+25.80).

Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.