head-to-head
Mistral: Mistral Medium 3.5 vs OpenAI: GPT-5.3-Codex
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-23.
| Mistral: Mistral Medium 3.5 | OpenAI: GPT-5.3-Codex | |
|---|---|---|
| Vendor | mistralai | openai |
| Quality Score | 100 | 100 |
| Benchmark Score | 19.3 | 53.3 |
| Input Price | $1.50/M | $1.75/M |
| Output Price | $7.50/M | $14.00/M |
| Context Window | 262,144 | 400,000 |
| Max Output | 209,715 | 128,000 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 23.4 | 53.6 |
Who wins by task?
| Task | Mistral: Mistral Medium 3.5 | OpenAI: GPT-5.3-Codex |
|---|---|---|
| SQL Generation | 133 | 138 |
| Code Review | 130 | 142 |
| Code Completion | 115 | 117 |
| Code Refactoring | 131 | 144 |
| Bug Fixing | 134 | 146 |
| Unit Test Generation | 124 | 130 |
| Code Documentation | 126 | 133 |
| Regex Writing | 120 | 122 |
| CI/CD Pipelines | 120 | 126 |
| Frontend Component Design | 124 | 128 |
| Data Analysis | 127 | 132 |
| CSV / Spreadsheet Cleanup | 128 | 134 |
| ETL Scripting | 125 | 135 |
| JSON Extraction | 122 | 120 |
| Bulk Data Labeling | 119 | 117 |
| OCR / Document Parsing | 129 | 133 |
| Table Extraction from PDFs | 129 | 133 |
| Long-Document Summarization | 132 | 145 |
| Short-Form Summarization | 115 | 115 |
| Blog Post Writing | 121 | 126 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →
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