head-to-head
Mistral: Mistral Medium 3.5 vs Google: Gemma 4 26B A4B
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-06-19.
| Mistral: Mistral Medium 3.5 | Google: Gemma 4 26B A4B | |
|---|---|---|
| Vendor | mistralai | |
| Quality Score | 100 | 100 |
| Benchmark Score | 63.3 | 53.4 |
| Input Price | $1.50/M | $0.06/M |
| Output Price | $7.50/M | $0.33/M |
| Context Window | 262,144 | 262,144 |
| Max Output | - | - |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 49.4 | 42.4 |
| ai_index_agentic | 87.7 | 53.0 |
| ai_index_coding | 58.4 | 37.0 |
| eqbench | - | 70.0 |
Who wins by task?
| Task | Mistral: Mistral Medium 3.5 | Google: Gemma 4 26B A4B |
|---|---|---|
| SQL Generation | 158 | 154 |
| Code Review | 151 | 152 |
| Code Completion | 116 | 132 |
| Code Refactoring | 147 | 150 |
| Bug Fixing | 165 | 162 |
| Unit Test Generation | 142 | 140 |
| Code Documentation | 132 | 138 |
| Regex Writing | 130 | 131 |
| CI/CD Pipelines | 134 | 134 |
| Frontend Component Design | 139 | 136 |
| Data Analysis | 160 | 152 |
| CSV / Spreadsheet Cleanup | 141 | 141 |
| ETL Scripting | 140 | 142 |
| JSON Extraction | 133 | 139 |
| Bulk Data Labeling | 123 | 132 |
| OCR / Document Parsing | 138 | 137 |
| Table Extraction from PDFs | 138 | 137 |
| Long-Document Summarization | 144 | 150 |
| Short-Form Summarization | 120 | 129 |
| Blog Post Writing | 131 | 133 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →
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