head-to-head

MoonshotAI: Kimi K2.7 Code vs Mistral: Mistral Medium 3.5

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

MoonshotAI: Kimi K2.7 Code Mistral: Mistral Medium 3.5
Vendormoonshotaimistralai
Quality Score100100
Benchmark Score74.153.0
Input Price$0.60/M$1.50/M
Output Price$3.50/M$7.50/M
Context Window262,144262,144
Max Output235,929209,715
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index69.249.4
ai_index_agentic48.831.3
ai_index_coding100.077.4

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Kimi K2.7 Code costs $1.48 and Mistral Medium 3.5 costs $3.38, so Kimi K2.7 Code 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 Kimi K2.7 Code leads 74.1 to 53.0.

Across the 20 tasks where they differ, Kimi K2.7 Code scores higher on 20 (SQL Generation, Code Review, Code Completion and others).

Kimi K2.7 Code was released in June 2026 and Mistral Medium 3.5 in April 2026.

Pick Kimi K2.7 Code if you need lower cost, 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?

TaskMoonshotAI: Kimi K2.7 CodeMistral: Mistral Medium 3.5
SQL Generation 163 153
Code Review 155 147
Code Completion 129 116
Code Refactoring 151 144
Bug Fixing 165 155
Unit Test Generation 147 140
Code Documentation 135 131
Regex Writing 133 128
CI/CD Pipelines 138 132
Frontend Component Design 142 137
Data Analysis 162 151
CSV / Spreadsheet Cleanup 147 142
ETL Scripting 144 138
JSON Extraction 147 134
Bulk Data Labeling 134 123
OCR / Document Parsing 142 139
Table Extraction from PDFs 142 139
Long-Document Summarization 147 141
Short-Form Summarization 130 119
Blog Post Writing 134 129

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

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