LLM Comparison
MiniMax M2-her vs DeepSeek V3.2 Speciale
Side-by-side specs, pricing & capabilities · Updated May 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 63 79.0 | |
| Family | MiniMax | DeepSeek |
| Status | Current | Current |
| Release Date | Jan 2026 | Dec 2025 |
| Context Window | 66K tokens | 164K tokens |
| Input Price | $0.30/M tokens | $0.40/M tokens |
| Output Price | $1.20/M tokens | $1.20/M tokens |
| Pricing Notes | Cache read: $0.0300/M tokens | Cache read: $0.2000/M tokens |
| Capabilities | textcode | textcode |
| Max Output | 2K tokens | 164K tokens |
| API Identifier | minimax/minimax-m2-her | deepseek/deepseek-v3.2-speciale |
| Benchmarks | ||
| MMLU-Pro | — | 85deepseek |
| AIME 2025 | — | 96deepseek |
| LiveCodeBench | — | 88.7deepseek |
| HLE | — | 30.6deepseek |
| HMMT 2025 | — | 99deepseek |
| SWE-bench Verified | — | 73deepseek |
| Terminal-Bench 2.0 | — | 46deepseek |
| View MiniMax M2-her | View DeepSeek V3.2 Speciale | |
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| MiniMax M2-herCheapest | $0.30 | $0.60 | $0.90 | — |
| DeepSeek V3.2 Speciale | $0.40 | $0.60 | $1.00 | +11% |
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 V3.2 Speciale
DeepSeek V3.2 Speciale is a large language model from DeepSeek. Supports up to 163,840 token context window. Achieves 87.1% on MMLU. Available from $0.40/M input tokens.
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