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 2026-08-01.
| MoonshotAI: Kimi K2.6 | Google: Gemma 4 31B | |
|---|---|---|
| Vendor | moonshotai | |
| Quality Score | 100 | 100 |
| Benchmark Score | 79.3 | 56.9 |
| Input Price | $0.60/M | $0.10/M |
| Output Price | $3.41/M | $0.34/M |
| Context Window | 262,144 | 262,144 |
| Max Output | 262,144 | 262,144 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 73.0 | 48.4 |
| ai_index_agentic | 49.9 | 23.8 |
| ai_index_coding | 100.0 | 71.7 |
| eqbench | 76.6 | 70.8 |
Who wins by task?
| Task | MoonshotAI: Kimi K2.6 | Google: Gemma 4 31B |
|---|---|---|
| SQL Generation | 168 | 157 |
| Code Review | 165 | 154 |
| Code Refactoring | 161 | 152 |
| Bug Fixing | 176 | 161 |
| Unit Test Generation | 153 | 143 |
| Code Documentation | 141 | 138 |
| Regex Writing | 136 | 131 |
| CI/CD Pipelines | 143 | 136 |
| Frontend Component Design | 146 | 138 |
| Data Analysis | 167 | 152 |
| CSV / Spreadsheet Cleanup | 152 | 146 |
| ETL Scripting | 152 | 144 |
| JSON Extraction | 147 | 143 |
| Bulk Data Labeling | 134 | 133 |
| OCR / Document Parsing | 145 | 140 |
| Table Extraction from PDFs | 145 | 140 |
| Long-Document Summarization | 158 | 150 |
| Short-Form Summarization | 131 | 129 |
| Blog Post Writing | 140 | 134 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →
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