head-to-head

Mistral: Mistral Medium 3.5 vs MoonshotAI: Kimi K2.6

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

Mistral: Mistral Medium 3.5 MoonshotAI: Kimi K2.6
Vendormistralaimoonshotai
Quality Score100100
Benchmark Score53.076.7
Input Price$1.50/M$0.65/M
Output Price$7.50/M$3.41/M
Context Window262,144262,144
Max Output209,715235,929
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index49.473.0
ai_index_agentic31.349.9
ai_index_coding77.4100.0
eqbench-63.5

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Kimi K2.6 costs $1.50 and Mistral Medium 3.5 costs $3.38, so Kimi K2.6 is about 2.2 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 K2.6 leads 76.7 to 53.0.

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

Pick Kimi K2.6 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?

TaskMistral: Mistral Medium 3.5MoonshotAI: Kimi K2.6
SQL Generation 153 168
Code Review 147 164
Code Completion 116 131
Code Refactoring 144 160
Bug Fixing 155 174
Unit Test Generation 140 152
Code Documentation 131 140
Regex Writing 128 136
CI/CD Pipelines 132 142
Frontend Component Design 137 145
Data Analysis 151 166
CSV / Spreadsheet Cleanup 142 151
ETL Scripting 138 151
JSON Extraction 134 147
Bulk Data Labeling 123 134
OCR / Document Parsing 139 144
Table Extraction from PDFs 139 144
Long-Document Summarization 141 156
Short-Form Summarization 119 131
Blog Post Writing 129 139

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

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