Compare/MiMo-V2.5-Pro vs Trinity Large Thinking

MiMo-V2.5-ProvsTrinity Large Thinking

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

Xiaomi

MiMo-V2.5-Pro

Input
$0.435/M
Output
$0.87/M
Speed
43 tok/s
TTFT
2.37s
Arcee AI

Trinity Large Thinking

Input
$0.235/M
Output
$0.875/M
Speed
211 tok/s
TTFT
0.82s

Winner by Category

Cheaper
Trinity Large Thinking
Faster (tok/s)
Trinity Large Thinking
Lower Latency
Trinity Large Thinking
Benchmarks (7-0)
MiMo-V2.5-Pro

Pricing Comparison

MetricMiMo-V2.5-ProTrinity Large Thinking
Input ($/M tokens)$0.435$0.235
Output ($/M tokens)$0.87$0.875
Cost for 1M input + 100K output tokens:
MiMo-V2.5-Pro$0.52
Trinity Large Thinking$0.32

Speed Comparison

Output Speed (tokens/s) — higher is better
MiMo-V2.5-Pro
43 tok/s
Trinity Large Thinking
211 tok/s
Time to First Token (seconds) — lower is better
MiMo-V2.5-Pro
2.37s
Trinity Large Thinking
0.82s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
53.831.9
Coding Index
45.527.2
Math Index
GPQA Diamond
86.6%75.2%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
33.8%14.7%
SciCode
50.2%36.1%
IFBench
79.9%56.3%
TerminalBench
43.2%22.7%
MiMo-V2.5-Pro7 wins
0 winsTrinity Large Thinking

Frequently Asked Questions

Which is cheaper, MiMo-V2.5-Pro or Trinity Large Thinking?

Trinity Large Thinking is cheaper overall. Its blended price (3:1 input/output ratio) is $0.40/M tokens vs $0.54/M for MiMo-V2.5-Pro.

Which model performs better on benchmarks?

MiMo-V2.5-Pro wins 7 out of 12 benchmarks compared to 0 for Trinity Large Thinking. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Trinity Large Thinking generates tokens faster at 211 tok/s vs 43 tok/s. However, Trinity Large Thinking has lower time-to-first-token (0.82s vs 2.37s).

When should I use MiMo-V2.5-Pro vs Trinity Large Thinking?

Choose based on your priorities: Trinity Large Thinking for lower cost, MiMo-V2.5-Pro for stronger benchmark performance, and Trinity Large Thinking for faster generation. For latency-sensitive apps, check the TTFT comparison above.