head-to-head
OpenAI: GPT-5.6 Terra vs MiniMax: MiniMax M3
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-07-11.
| OpenAI: GPT-5.6 Terra | MiniMax: MiniMax M3 | |
|---|---|---|
| Vendor | openai | minimax |
| Quality Score | 100 | 100 |
| Benchmark Score | 93.0 | 78.0 |
| Input Price | $2.50/M | $0.30/M |
| Output Price | $15.00/M | $1.20/M |
| Context Window | 1,050,000 | 1,048,576 |
| Max Output | 128,000 | 131,072 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 90.7 | 73.3 |
| ai_index_agentic | 78.2 | 58.3 |
| ai_index_coding | 100.0 | 96.6 |
Who wins by task?
| Task | OpenAI: GPT-5.6 Terra | MiniMax: MiniMax M3 |
|---|---|---|
| SQL Generation | 171 | 167 |
| Code Review | 168 | 162 |
| Code Completion | 118 | 133 |
| Code Refactoring | 165 | 160 |
| Bug Fixing | 181 | 173 |
| Unit Test Generation | 155 | 151 |
| Code Documentation | 141 | 142 |
| Regex Writing | 134 | 134 |
| CI/CD Pipelines | 145 | 141 |
| Frontend Component Design | 147 | 143 |
| Data Analysis | 171 | 164 |
| CSV / Spreadsheet Cleanup | 153 | 153 |
| ETL Scripting | 155 | 151 |
| JSON Extraction | 137 | 147 |
| Bulk Data Labeling | 122 | 135 |
| OCR / Document Parsing | 147 | 145 |
| Table Extraction from PDFs | 147 | 145 |
| Long-Document Summarization | 159 | 156 |
| Short-Form Summarization | 121 | 131 |
| Blog Post Writing | 139 | 138 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →
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