head-to-head

MoonshotAI: Kimi K2.6 vs Google: Gemma 4 31B

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

MoonshotAI: Kimi K2.6 Google: Gemma 4 31B
Vendormoonshotaigoogle
Quality Score100100
Benchmark Score76.753.7
Input Price$0.65/M$0.20/M
Output Price$3.41/M$0.40/M
Context Window262,144262,144
Max Output235,92916,384
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index73.048.4
ai_index_agentic49.923.8
ai_index_coding100.071.7
eqbench63.557.5

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Gemma 4 31B costs $0.30 and Kimi K2.6 costs $1.50, so Gemma 4 31B is about 5.0 times cheaper for the same work.

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

Only Gemma 4 31B offers video input.

On our blended benchmark score Kimi K2.6 leads 76.7 to 53.7.

Across the 19 tasks where they differ, Kimi K2.6 scores higher on 19 (SQL Generation, Code Review, Code Refactoring and others).

Pick Kimi K2.6 if you need benchmark performance or the stronger all-round task scores; pick Gemma 4 31B if you need lower cost or video input.

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 K2.6Google: Gemma 4 31B
SQL Generation 168 156
Code Review 164 152
Code Refactoring 160 151
Bug Fixing 174 160
Unit Test Generation 152 143
Code Documentation 140 137
Regex Writing 136 131
CI/CD Pipelines 142 135
Frontend Component Design 145 138
Data Analysis 166 152
CSV / Spreadsheet Cleanup 151 145
ETL Scripting 151 143
JSON Extraction 147 143
Bulk Data Labeling 134 133
OCR / Document Parsing 144 140
Table Extraction from PDFs 144 140
Long-Document Summarization 156 149
Short-Form Summarization 131 129
Blog Post Writing 139 133

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

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