Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | MiMo-V2.5 | Mistral Small 3.1 |
|---|---|---|
| Input ($/M tokens) | $0.14 | $0.1 |
| Output ($/M tokens) | $0.28 | $0.3 |
Verdict. MiMo-V2.5 wins the overall benchmark matchup 2–0 across 2 overlapping categories, but raw benchmark score is only one input to the decision.
Pricing. Both models sit in the budget bracket for output-token pricing. At 0.9× the per-million-token cost, MiMo-V2.5 is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). MiMo-V2.5 makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. MiMo-V2.5 is strongest on Coding Index (56.8), Intelligence Index (38.0). Mistral Small 3.1 leads on Coding Index (26.3), Intelligence Index (14.9).
Speed. On throughput, Mistral Small 3.1 generates tokens at 138 tok/s versus 60 tok/s — about 56% faster. On time-to-first-token, Mistral Small 3.1 responds in 880ms vs 3810ms, which matters most for chat-style UIs.
Provider. Xiaomi and Mistral sell to overlapping but distinct developer audiences: Xiaomi tends to ship frontier reasoning models with premium positioning, while Mistral often prices more aggressively. Your existing vendor relationships, billing, and SLA preferences may matter as much as the raw numbers above.
Workload cost. Workload scenarios (per million requests at 30M input + 15M output tokens): MiMo-V2.5 costs $8.40 ($101/year); Mistral Small 3.1 costs $7.50 ($90/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): MiMo-V2.5 ≈ $1.26/run, Mistral Small 3.1 ≈ $1.10/run. At agent/realtime scale (200M input / 100M output per million requests): MiMo-V2.5 ≈ $56/run, Mistral Small 3.1 ≈ $50/run. Mistral Small 3.1 becomes more attractive at higher volume — the absolute per-token pricing difference compounds when you ship at scale.
Recommendation. Both models have legitimate use cases — the right answer depends on whether you are optimizing for benchmark ceiling, latency, or unit cost. Start with the cheaper / faster model, evaluate against your specific task, and only switch if the upgrade shows a meaningful lift.
Head-to-head deltas
Data from Artificial Analysis API — 12 benchmarks
Mistral Small 3.1 is cheaper overall. Its blended price (3:1 input/output ratio) is $0.15/M tokens vs $0.17/M for MiMo-V2.5.
MiMo-V2.5 wins 2 out of 12 benchmarks compared to 0 for Mistral Small 3.1. See the detailed benchmark chart above for per-category results.
Mistral Small 3.1 generates tokens faster at 138 tok/s vs 60 tok/s. However, Mistral Small 3.1 has lower time-to-first-token (0.88s vs 3.81s).
Choose based on your priorities: Mistral Small 3.1 for lower cost, MiMo-V2.5 for stronger benchmark performance, and Mistral Small 3.1 for faster generation. For latency-sensitive apps, check the TTFT comparison above.