head-to-head

StepFun: Step 3.7 Flash vs MoonshotAI: Kimi K2.6

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

StepFun: Step 3.7 Flash MoonshotAI: Kimi K2.6
Vendorstepfunmoonshotai
Quality Score100100
Benchmark Score50.876.7
Input Price$0.20/M$0.65/M
Output Price$1.15/M$3.41/M
Context Window262,144262,144
Max Output230,400235,929
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index49.973.0
ai_index_agentic35.549.9
ai_index_coding65.3100.0
eqbench-63.5

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Step 3.7 Flash costs $0.49 and Kimi K2.6 costs $1.50, so Step 3.7 Flash is about 3.1 times cheaper for the same work.

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

Only Step 3.7 Flash offers video input.

On our blended benchmark score Kimi K2.6 leads 76.7 to 50.8.

Across the 20 tasks where they differ, Kimi K2.6 on 20 (SQL Generation, Code Review, Code Completion and others).

Step 3.7 Flash was released in May 2026 and Kimi K2.6 in April 2026.

Pick Step 3.7 Flash if you need lower cost or video input; pick Kimi K2.6 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 FlashMoonshotAI: Kimi K2.6
SQL Generation 153 168
Code Review 146 164
Code Completion 130 131
Code Refactoring 144 160
Bug Fixing 155 174
Unit Test Generation 139 152
Code Documentation 133 140
Regex Writing 129 136
CI/CD Pipelines 131 142
Frontend Component Design 136 145
Data Analysis 150 166
CSV / Spreadsheet Cleanup 141 151
ETL Scripting 137 151
JSON Extraction 142 147
Bulk Data Labeling 133 134
OCR / Document Parsing 138 144
Table Extraction from PDFs 138 144
Long-Document Summarization 142 156
Short-Form Summarization 128 131
Blog Post Writing 129 139

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

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