LLM Comparison
DeepSeek V3.1 Terminus vs MiniMax M2.7
Side-by-side specs, pricing & capabilities · Updated September 2026
Price vs Intelligence
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 40 80.8 | 42 56.5 |
| Family | DeepSeek | MiniMax |
| Status | Current | Current |
| Release Date | Sep 2025 | Mar 2026 |
| Context Window | 164K tokens | 197K tokens |
| Input Price | $0.21/M tokens | $0.30/M tokens |
| Output Price | $0.79/M tokens | $1.20/M tokens |
| Pricing Notes | Cache read: $0.1300/M tokens | Cache read: $0.0590/M tokens |
| Capabilities | textcode | textcode |
| API Identifier | deepseek/deepseek-v3.1-terminus | minimax/minimax-m2.7 |
| Benchmarks | ||
| MMLU-Pro | 85deepseek | — |
| GPQA Diamond | 80.7deepseek | 87.3737artificial-analysis |
| AIME 2025 | 53.7deepseek | — |
| LiveCodeBench | 74.9deepseek | — |
| SWE-bench Verified | 68.4deepseek | — |
| Terminal-Bench Hard | 31.8deepseek | — |
| HLE | 21.7deepseek | — |
| SWE-bench Pro | — | 56.22https://huggingface.co/MiniMaxAI/MiniMax-M2.7 |
| Terminal-Bench 2 | — | 57https://huggingface.co/MiniMaxAI/MiniMax-M2.7 |
| Artificial Analysis Intelligence Index v4.3 | — | 23.2171artificial-analysis |
| SciCode | — | 50.1157artificial-analysis |
| Terminal-Bench 2.1 | — | 55.4307artificial-analysis |
| View DeepSeek V3.1 Terminus | View MiniMax M2.7 | |
Cost Calculator
Enter your expected monthly token usage to compare costs.
| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| DeepSeek V3.1 TerminusCheapest | $0.21 | $0.40 | $0.61 | — |
| MiniMax M2.7 | $0.30 | $0.60 | $0.90 | +49% |
DeepSeek
DeepSeek V3.1 Terminus
DeepSeek V3.1 Terminus is a large language model from DeepSeek. Supports up to 163,840 token context window. Achieves 87.1% on MMLU. Available from $0.21/M input tokens.
MiniMax
MiniMax M2.7
MiniMax M2.7 is a large language model from MiniMax. Supports up to 196,608 token context window. Available from $0.30/M input tokens.
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