OpenAI: GPT-5.6 Terra Pro vs Mistral: Mistral Medium 3.5
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.
| OpenAI: GPT-5.6 Terra Pro | Mistral: Mistral Medium 3.5 | |
|---|---|---|
| Vendor | openai | mistralai |
| Quality Score | 100 | 100 |
| Benchmark Score | - | 53.0 |
| Input Price | $2.00/M | $1.50/M |
| Output Price | $12.00/M | $7.50/M |
| Context Window | 1,050,000 | 262,144 |
| Max Output | 128,000 | 209,715 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | - | 49.4 |
| ai_index_agentic | - | 31.3 |
| ai_index_coding | - | 77.4 |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, Mistral Medium 3.5 costs $3.38 and GPT-5.6 Terra Pro costs $5.00, so Mistral Medium 3.5 is about 1.5 times cheaper for the same work.
GPT-5.6 Terra Pro reads up to 1,050,000 tokens at once, roughly 1,575 pages of text, against about 393 pages for Mistral Medium 3.5.
Across the 20 tasks where they differ, GPT-5.6 Terra Pro scores higher on 1 (Code Completion), Mistral Medium 3.5 on 19 (SQL Generation, Code Review, Code Refactoring and others).
GPT-5.6 Terra Pro was released in July 2026 and Mistral Medium 3.5 in April 2026.
Pick GPT-5.6 Terra Pro if you need long documents; pick Mistral Medium 3.5 if you need lower cost or the stronger all-round task scores.
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?
| Task | OpenAI: GPT-5.6 Terra Pro | Mistral: Mistral Medium 3.5 |
|---|---|---|
| SQL Generation | 132 | 153 |
| Code Review | 132 | 147 |
| Code Completion | 117 | 116 |
| Code Refactoring | 136 | 144 |
| Bug Fixing | 136 | 155 |
| Unit Test Generation | 124 | 140 |
| Code Documentation | 129 | 131 |
| Regex Writing | 117 | 128 |
| CI/CD Pipelines | 120 | 132 |
| Frontend Component Design | 122 | 137 |
| Data Analysis | 124 | 151 |
| CSV / Spreadsheet Cleanup | 132 | 142 |
| ETL Scripting | 128 | 138 |
| JSON Extraction | 121 | 134 |
| Bulk Data Labeling | 117 | 123 |
| OCR / Document Parsing | 131 | 139 |
| Table Extraction from PDFs | 131 | 139 |
| Long-Document Summarization | 136 | 141 |
| Short-Form Summarization | 113 | 119 |
| Blog Post Writing | 120 | 129 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →