Compare/MiMo-V2.5 vs Gemma 4 12B (Reasoning)

MiMo-V2.5vsGemma 4 12B (Reasoning)

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

Xiaomi

MiMo-V2.5

Input
$0.14/M
Output
$0.28/M
Speed
89 tok/s
TTFT
1.73s
Google

Gemma 4 12B (Reasoning)

Input
$0.1/M
Output
$0.3/M
Speed
143 tok/s
TTFT
1.33s

Winner by Category

Cheaper
Gemma 4 12B (Reasoning)
Faster (tok/s)
Gemma 4 12B (Reasoning)
Lower Latency
Gemma 4 12B (Reasoning)
Benchmarks (5-1)
MiMo-V2.5

Pricing Comparison

MetricMiMo-V2.5Gemma 4 12B (Reasoning)
Input ($/M tokens)$0.14$0.1
Output ($/M tokens)$0.28$0.3
Cost for 1M input + 100K output tokens:
MiMo-V2.5$0.17
Gemma 4 12B (Reasoning)$0.13

Speed Comparison

Output Speed (tokens/s) — higher is better
MiMo-V2.5
89 tok/s
Gemma 4 12B (Reasoning)
143 tok/s
Time to First Token (seconds) — lower is better
MiMo-V2.5
1.73s
Gemma 4 12B (Reasoning)
1.33s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
40.122.0
Coding Index
Math Index
GPQA Diamond
84.9%75.3%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
25.2%14.8%
SciCode
43.1%38.2%
IFBench
67.1%73.5%
TerminalBench
41.7%18.2%
MiMo-V2.55 wins
1 winsGemma 4 12B (Reasoning)

Frequently Asked Questions

Which is cheaper, MiMo-V2.5 or Gemma 4 12B (Reasoning)?

Gemma 4 12B (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.15/M tokens vs $0.17/M for MiMo-V2.5.

Which model performs better on benchmarks?

MiMo-V2.5 wins 5 out of 12 benchmarks compared to 1 for Gemma 4 12B (Reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Gemma 4 12B (Reasoning) generates tokens faster at 143 tok/s vs 89 tok/s. However, Gemma 4 12B (Reasoning) has lower time-to-first-token (1.33s vs 1.73s).

When should I use MiMo-V2.5 vs Gemma 4 12B (Reasoning)?

Choose based on your priorities: Gemma 4 12B (Reasoning) for lower cost, MiMo-V2.5 for stronger benchmark performance, and Gemma 4 12B (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.