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 2026-09-23.
| MoonshotAI: Kimi K2.6 | Google: Gemma 4 26B A4B | |
|---|---|---|
| Vendor | moonshotai | |
| Quality Score | 100 | 100 |
| Benchmark Score | 65.3 | 50.9 |
| Input Price | $0.95/M | $0.09/M |
| Output Price | $4.00/M | $0.30/M |
| Context Window | 262,144 | 262,144 |
| Max Output | 235,929 | 235,929 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 44.5 | 27.5 |
| eqbench | 76.6 | 70.0 |
Who wins by task?
| Task | MoonshotAI: Kimi K2.6 | Google: Gemma 4 26B A4B |
|---|---|---|
| SQL Generation | 141 | 139 |
| Code Review | 144 | 140 |
| Code Completion | 131 | 131 |
| Code Refactoring | 144 | 141 |
| Bug Fixing | 148 | 144 |
| Unit Test Generation | 131 | 129 |
| Code Documentation | 135 | 134 |
| Regex Writing | 126 | 125 |
| CI/CD Pipelines | 127 | 125 |
| Frontend Component Design | 130 | 128 |
| Data Analysis | 135 | 132 |
| CSV / Spreadsheet Cleanup | 134 | 133 |
| ETL Scripting | 136 | 133 |
| JSON Extraction | 131 | 131 |
| Bulk Data Labeling | 128 | 129 |
| OCR / Document Parsing | 132 | 131 |
| Table Extraction from PDFs | 132 | 131 |
| Long-Document Summarization | 146 | 143 |
| Short-Form Summarization | 126 | 126 |
| Blog Post Writing | 129 | 127 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →
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