LLM Comparison
MiniMax M2-her vs DeepSeek V3.1 Terminus
Side-by-side specs, pricing & capabilities · Updated May 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 33 65.2 | |
| Family | MiniMax | DeepSeek |
| Status | Current | Current |
| Release Date | Jan 2026 | Sep 2025 |
| Context Window | 66K tokens | 164K tokens |
| Input Price | $0.30/M tokens | $0.21/M tokens |
| Output Price | $1.20/M tokens | $0.79/M tokens |
| Pricing Notes | Cache read: $0.0300/M tokens | Cache read: $0.1300/M tokens |
| Capabilities | textcode | textcode |
| Max Output | 2K tokens | — |
| API Identifier | minimax/minimax-m2-her | deepseek/deepseek-v3.1-terminus |
| Benchmarks | ||
| MMLU-Pro | — | 83.6deepseek |
| GPQA Diamond | — | 75.1deepseek |
| AIME 2025 | — | 53.7deepseek |
| LiveCodeBench | — | 52.9deepseek |
| SWE-bench Verified | — | 66deepseek |
| Terminal-Bench Hard | — | 31.8deepseek |
| HLE | — | 8.4deepseek |
| View MiniMax M2-her | View DeepSeek V3.1 Terminus | |
Cost Calculator
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| DeepSeek V3.1 TerminusCheapest | $0.21 | $0.40 | $0.61 | — |
| MiniMax M2-her | $0.30 | $0.60 | $0.90 | +49% |
MiniMax
MiniMax M2-her
MiniMax M2-her is a large language model from MiniMax. Supports up to 65,536 token context window. Available from $0.30/M input tokens.
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.
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