head-to-head
OpenAI: GPT-5.6 Sol (batch) vs MiniMax: MiniMax M3
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-23.
| OpenAI: GPT-5.6 Sol (batch) | MiniMax: MiniMax M3 | |
|---|---|---|
| Vendor | openai | minimax |
| Quality Score | 100 | 100 |
| Benchmark Score | 80.2 | 47.2 |
| Input Price | $1.00/M | $0.30/M |
| Output Price | $5.00/M | $1.20/M |
| Context Window | 1,050,000 | 1,048,576 |
| Max Output | 128,000 | 512,000 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 77.5 | 48.2 |
Who wins by task?
| Task | OpenAI: GPT-5.6 Sol (batch) | MiniMax: MiniMax M3 |
|---|---|---|
| SQL Generation | 142 | 139 |
| Code Review | 146 | 141 |
| Code Completion | 120 | 132 |
| Code Refactoring | 148 | 143 |
| Bug Fixing | 150 | 145 |
| Unit Test Generation | 133 | 129 |
| Code Documentation | 137 | 136 |
| Regex Writing | 126 | 124 |
| CI/CD Pipelines | 129 | 125 |
| Frontend Component Design | 131 | 127 |
| Data Analysis | 135 | 131 |
| CSV / Spreadsheet Cleanup | 136 | 135 |
| ETL Scripting | 138 | 134 |
| JSON Extraction | 122 | 131 |
| Bulk Data Labeling | 120 | 129 |
| OCR / Document Parsing | 134 | 133 |
| Table Extraction from PDFs | 134 | 133 |
| Long-Document Summarization | 149 | 145 |
| Short-Form Summarization | 118 | 126 |
| Blog Post Writing | 130 | 127 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →
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