Compare MiniMax M2.7 (MiniMax) and Mistral: Mistral Small 3.2 24B (Mistral AI) by price, context, capabilities, and latency.
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Vergleichen Sie Preis, Anbieter, Kontext, Fahigkeiten, Latenz und Quellenbasis.
| Model | Provider | Input | Output | Context | Capabilities | Best for | Latency | Status | Source |
|---|---|---|---|---|---|---|---|---|---|
| MiniMax M2.7minimax-m2-7 | MiniMax | ¥1.68 / 1M tokens | ¥6.74 / 1M tokens | 128k | Tool callingJSON modeStreamingLow cost | high-volume chat, agentic tool use | 900-2800ms | Production | Platform curated |
| Mistral: Mistral Small 3.2 24Bmistralai/mistral-small-3.2-24b-instruct | Mistral AI | $0.1 / 1M tokens | $0.3 / 1M tokens | 128k | Tool callingJSON modeStreamingLow cost | translation, classification | 700-2300ms | Catalog | OpenRouter if available |
FAQ
Mistral: Mistral Small 3.2 24B is cheaper ($0.1 / 1M tokens input / $0.3 / 1M tokens output) vs MiniMax M2.7 (¥1.68 / 1M tokens input / ¥6.74 / 1M tokens output). Actual cost depends on your input/output token mix — estimate it with the pricing calculator.
Both offer the same context window: 128k tokens.
Both target Low cost. Pick Mistral: Mistral Small 3.2 24B to optimize cost, or MiniMax M2.7 for the longer context window. Test both on real prompts before committing production traffic.
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