Qwen3.6-35B-A3B leads overall
Ahead on 1 of 3 benchmarks, averaging 4.4 points higher
Summarised from the 3 benchmarks both models were scored on; details in the charts below.

Qwen3.6-35B-A3B
阿里巴巴
Updates live with the mode filters below.
Best overall
Qwen3.6-35B-A3B · 51.48
Best single
Qwen3.6-35B-A3B · Context Arena 83.53
Modality coverage
Qwen3.6-35B-A3B · 3 modalities
Head to head
3
Benchmarks
1
Wins
2
Losses
+4.43
Average diff
Benchmark-by-benchmark comparison. Changing the thinking mode or tool filters updates the chart and table below.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Each axis is the mean percentage score of one benchmark domain. It is an average, not a capability rating.
Relative edge: 文本向量检索 +32.7 / Relative gap: 综合评估 -25.8
Relative edge: 综合评估 +25.8 / Relative gap: 文本向量检索 -32.7
Method: for each model and benchmark, all scores in the current mode scope are averaged (not the best score), then those benchmark scores are averaged within each domain. Only benchmarks scored on a 0-100 scale by at least two of the selected models count — Elo and rating-scale benchmarks such as Codeforces or Arena are excluded, because averaging a 1500 rating with an 85% accuracy produces a meaningless number. Missing values are not counted as zero, and the averages are unweighted, so domains with harder benchmarks read lower.
Every model and runtime mode, benchmark by benchmark. Values are comparable along a row, not between different benchmarks.
3 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | Qwen3.6-35B-A3B | Step 3.7 Flash |
|---|---|---|
HLE 综合评估 | 21.40Thinking Enabled | 47.20Thinking Enabled | Tools |
SWE-Bench Pro - Public 编程与软件工程 | 49.50Thinking Enabled | 56.30Thinking Enabled | Tools |
Context Arena 文本向量检索 | 83.53Thinking Enabled | 37.65Thinking Level · Medium |
Official list prices per model API, split by input and output. Unit: USD per 1M tokens.
Architecture, licensing and API modalities. "Not provided" means the field is missing from our database.
| Features & specs | Qwen3.6-35B-A3B阿里巴巴 | Step 3.7 FlashStepFunAI |
|---|---|---|
Core specsRelease | 2026-04-16 | 2026-05-29 |
Context length | 200K | 256K |
Total parameters | 35B | 198B |
Active parameters | 3B | 11B |
Max output length | 80,000 tokens | Not provided |
Architecture | MoE (mixture of experts) | MoE (mixture of experts) |
Runtime modes | 关闭开启 | 关闭深度 |
LicenseCode Open Source | Open Source · Apache 2.0 | Open Source · Apache 2.0 |
Weights Open Source | Open Source · Apache 2.0 | Open Source · Apache 2.0 |
Licensing status | 免费商用授权 | 免费商用授权 |
Local deploymentWeight size | Not provided | 403 GB(BF16 Safetensors) |
VRAM for weights | Not provided | ≈ 403 GB (weights only, excludes KV cache) |
Weights | Hugging Face | Hugging Face |
Source repo | GitHub | GitHub |
API modality supportText Input/Output | / | / |
Image Input/Output | / | / |
Video Input/Output | / | / |
ResourcesPaper / report | Qwen3.6-35B-A3B:智能体编程利器,现已开源 | Step 3.7 Flash — A high-efficiency Flash model for Real-World Agents |

Step 3.7 Flash
StepFunAI