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Compare/Gemma 4 31B (Reasoning) vs MiMo-V2.5-Pro

Gemma 4 31B (Reasoning)vsMiMo-V2.5-Pro

Side-by-side comparison of pricing, 12 benchmarks, and generation speed.

Google

Gemma 4 31B (Reasoning)

Input
$0/M
Output
$0/M
Speed
35 tok/s
TTFT
1.04s
Xiaomi

MiMo-V2.5-Pro

Input
$0.43/M
Output
$0.87/M
Speed
41 tok/s
TTFT
6.14s

Winner by Category

Cheaper
Gemma 4 31B (Reasoning)
Faster (tok/s)
MiMo-V2.5-Pro
Lower Latency
Gemma 4 31B (Reasoning)
Benchmarks (0-2)
MiMo-V2.5-Pro

Pricing Comparison

MetricGemma 4 31B (Reasoning)MiMo-V2.5-Pro
Input ($/M tokens)$0$0.43
Output ($/M tokens)$0$0.87
Cost for 1M input + 100K output tokens:
Gemma 4 31B (Reasoning)$0.00
MiMo-V2.5-Pro$0.52

Speed Comparison

Output Speed (tokens/s) — higher is better
Gemma 4 31B (Reasoning)
35 tok/s
MiMo-V2.5-Pro
41 tok/s
Time to First Token (seconds) — lower is better
Gemma 4 31B (Reasoning)
1.04s
MiMo-V2.5-Pro
6.14s

Editorial Analysis

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 (15.4). MiMo-V2.5-Pro leads on Coding Index (60.2), Intelligence Index (26.4).

Speed. Throughput is comparable — 35 tok/s vs 41 tok/s — so generation speed shouldn't drive your choice here. Look at the per-benchmark wins instead.

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

  • Time-to-first-token differs by 5.9× — Gemma 4 31B (Reasoning) responds in 1040ms vs 6140ms. For interactive chat UIs this can matter more than raw benchmark wins.

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
15.426.4
Coding Index
43.460.2
Math Index
——
GPQA Diamond
——
MMLU-Pro
——
LiveCodeBench
——
AIME 2025
——
MATH-500
——
Humanity's Last Exam
——
SciCode
——
IFBench
——
TerminalBench
——
Gemma 4 31B (Reasoning)0 wins
2 winsMiMo-V2.5-Pro

Frequently Asked Questions

Which is cheaper, Gemma 4 31B (Reasoning) or MiMo-V2.5-Pro?

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.

Which model performs better on benchmarks?

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.

Which is faster for real-time applications?

MiMo-V2.5-Pro generates tokens faster at 41 tok/s vs 35 tok/s. Gemma 4 31B (Reasoning) also has lower time-to-first-token (1.04s vs 6.14s).

When should I use Gemma 4 31B (Reasoning) vs MiMo-V2.5-Pro?

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.