Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Gemma 4 31B (Reasoning) | MiMo-V2.5-Pro |
|---|---|---|
| Input ($/M tokens) | $0 | $0.43 |
| Output ($/M tokens) | $0 | $0.87 |
Verdict. MiMo-V2.5-Pro takes the aggregate benchmark matchup 2–0 across 2 categories. Real workloads usually care about a handful of specific tasks — see the per-benchmark table above.
Pricing. Pricing varies significantly between these models — check the table above for the exact per-token rates. Many production workloads actually surface input-token cost (retrieval-augmented prompts, code-context windows), so factor both directions.
Strengths. Gemma 4 31B (Reasoning) is strongest on Coding Index (43.4), Intelligence Index (29.7). MiMo-V2.5-Pro leads on Coding Index (60.2), Intelligence Index (42.9).
Speed. On throughput, MiMo-V2.5-Pro generates tokens at 59 tok/s versus 36 tok/s — about 39% faster. On time-to-first-token, Gemma 4 31B (Reasoning) responds in 1110ms vs 3180ms, which matters most for chat-style UIs.
Provider. Google and Xiaomi sell to overlapping but distinct developer audiences: Google tends to ship frontier reasoning models with premium positioning, while Xiaomi 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): Gemma 4 31B (Reasoning) costs $0.00 ($0/year); MiMo-V2.5-Pro costs $25.95 ($311/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Gemma 4 31B (Reasoning) ≈ $0.00/run, MiMo-V2.5-Pro ≈ $3.89/run. At agent/realtime scale (200M input / 100M output per million requests): Gemma 4 31B (Reasoning) ≈ $0/run, MiMo-V2.5-Pro ≈ $173/run. Gemma 4 31B (Reasoning) 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
Gemma 4 31B (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $0.54/M for MiMo-V2.5-Pro.
MiMo-V2.5-Pro wins 2 out of 12 benchmarks compared to 0 for Gemma 4 31B (Reasoning). See the detailed benchmark chart above for per-category results.
MiMo-V2.5-Pro generates tokens faster at 59 tok/s vs 36 tok/s. Gemma 4 31B (Reasoning) also has lower time-to-first-token (1.11s vs 3.18s).
Choose based on your priorities: Gemma 4 31B (Reasoning) for lower cost, MiMo-V2.5-Pro for stronger benchmark performance, and MiMo-V2.5-Pro for faster generation. For latency-sensitive apps, check the TTFT comparison above.