LLM Comparison
DeepSeek V4 Pro vs MiniMax M2-her
Side-by-side specs, pricing & capabilities · Updated August 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 32 48.4 | |
| Family | DeepSeek V4 | MiniMax |
| Status | Current | Current |
| Release Date | Apr 2026 | Jan 2026 |
| Context Window | 1.0M tokens | 66K tokens |
| Input Price | $0.43/M tokens | $0.30/M tokens |
| Output Price | $0.87/M tokens | $1.20/M tokens |
| Pricing Notes | DeepSeek API pricing lists $0.003625 cache-hit input, $0.435 cache-miss input, and $0.87 output per 1M tokens for deepseek-v4-pro; peak pricing may change after a future official announcement. | Cache read: $0.0300/M tokens |
| Capabilities | reasoningcodingtool-usestructured-outputlong-context | textcode |
| Max Output | 393K tokens | 2K tokens |
| API Identifier | deepseek-v4-pro | minimax/minimax-m2-her |
| Benchmarks | ||
| Artificial Analysis Intelligence Index v4.1 | 44artificial-analysis | — |
| View DeepSeek V4 Pro | View MiniMax M2-her | |
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| DeepSeek V4 ProCheapest | $0.44 | $0.44 | $0.87 | — |
| MiniMax M2-her | $0.30 | $0.60 | $0.90 | +3% |
DeepSeek
DeepSeek V4 Pro
DeepSeek V4 Pro is an open-weight Mixture-of-Experts reasoning model for long-context coding, tool use, and agentic workloads through the DeepSeek API.
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.
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