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

Trinity Large ThinkingvsMiMo-V2.5-Pro

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

Arcee AI

Trinity Large Thinking

Input
$0.235/M
Output
$0.875/M
Speed
204 tok/s
TTFT
0.68s
Xiaomi

MiMo-V2.5-Pro

Input
$0.435/M
Output
$0.87/M
Speed
48 tok/s
TTFT
1.92s

Winner by Category

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

Pricing Comparison

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

Speed Comparison

Output Speed (tokens/s) — higher is better
Trinity Large Thinking
204 tok/s
MiMo-V2.5-Pro
48 tok/s
Time to First Token (seconds) — lower is better
Trinity Large Thinking
0.68s
MiMo-V2.5-Pro
1.92s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
24.542.2
Coding Index
60.2
Math Index
GPQA Diamond
75.2%86.6%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
14.7%33.8%
SciCode
36.1%50.2%
IFBench
56.3%79.9%
TerminalBench
22.7%43.2%
Trinity Large Thinking0 wins
7 winsMiMo-V2.5-Pro

Frequently Asked Questions

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

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 204 tok/s vs 48 tok/s. Trinity Large Thinking also has lower time-to-first-token (0.68s vs 1.92s).

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

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.