head-to-head

StepFun: Step 3.7 Flash vs Qwen: Qwen3.6 27B

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.

StepFun: Step 3.7 Flash Qwen: Qwen3.6 27B
Vendorstepfunqwen
Quality Score100100
Benchmark Score50.865.8
Input Price$0.20/M$0.32/M
Output Price$1.15/M$3.20/M
Context Window262,144262,144
Max Output230,40081,920
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index49.961.1
ai_index_agentic35.544.6
ai_index_coding65.388.6

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Step 3.7 Flash costs $0.49 and Qwen3.6 27B costs $1.12, so Step 3.7 Flash is about 2.3 times cheaper for the same work.

Both read up to 262,144 tokens at once, roughly 393 pages of text.

On our blended benchmark score Qwen3.6 27B leads 65.8 to 50.8.

Across the 20 tasks where they differ, Step 3.7 Flash scores higher on 1 (Code Completion), Qwen3.6 27B on 19 (SQL Generation, Code Review, Code Refactoring and others).

Step 3.7 Flash was released in May 2026 and Qwen3.6 27B in April 2026.

Pick Step 3.7 Flash if you need lower cost; pick Qwen3.6 27B if you need benchmark performance or the stronger all-round task scores.

Costs use current list prices per million tokens; page counts assume about 0.75 words per token and 500 words per page.

Who wins by task?

TaskStepFun: Step 3.7 FlashQwen: Qwen3.6 27B
SQL Generation 153 159
Code Review 146 152
Code Completion 130 129
Code Refactoring 144 148
Bug Fixing 155 162
Unit Test Generation 139 144
Code Documentation 133 134
Regex Writing 129 131
CI/CD Pipelines 131 135
Frontend Component Design 136 140
Data Analysis 150 158
CSV / Spreadsheet Cleanup 141 145
ETL Scripting 137 142
JSON Extraction 142 145
Bulk Data Labeling 133 133
OCR / Document Parsing 138 141
Table Extraction from PDFs 138 141
Long-Document Summarization 142 145
Short-Form Summarization 128 129
Blog Post Writing 129 132

Scores reflect capability match + benchmark data + pricing for each task. Methodology →

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