head-to-head

MoonshotAI: Kimi K2.6 vs Google: Gemma 4 26B A4B

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

MoonshotAI: Kimi K2.6 Google: Gemma 4 26B A4B
Vendormoonshotaigoogle
Quality Score100100
Benchmark Score76.748.4
Input Price$0.65/M$0.07/M
Output Price$3.41/M$0.23/M
Context Window262,144262,144
Max Output235,929235,929
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index73.042.4
ai_index_agentic49.918.1
ai_index_coding100.064.9
eqbench63.556.3

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Gemma 4 26B A4B costs $0.12 and Kimi K2.6 costs $1.50, so Gemma 4 26B A4B is about 12.1 times cheaper for the same work.

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

Only Gemma 4 26B A4B offers video input.

On our blended benchmark score Kimi K2.6 leads 76.7 to 48.4.

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

Pick Kimi K2.6 if you need benchmark performance or the stronger all-round task scores; pick Gemma 4 26B A4B 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 26B A4B
SQL Generation 168 153
Code Review 164 150
Code Completion 131 131
Code Refactoring 160 148
Bug Fixing 174 156
Unit Test Generation 152 140
Code Documentation 140 136
Regex Writing 136 130
CI/CD Pipelines 142 133
Frontend Component Design 145 136
Data Analysis 166 148
CSV / Spreadsheet Cleanup 151 143
ETL Scripting 151 141
JSON Extraction 147 142
Bulk Data Labeling 134 133
OCR / Document Parsing 144 138
Table Extraction from PDFs 144 138
Long-Document Summarization 156 147
Short-Form Summarization 131 129
Blog Post Writing 139 131

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

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