Compare/GLM-4.5V (Non-reasoning) vs MiMo-V2.5

GLM-4.5V (Non-reasoning)vsMiMo-V2.5

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

Z AI

GLM-4.5V (Non-reasoning)

Input
$0.6/M
Output
$1.8/M
Speed
53 tok/s
TTFT
27.09s
Xiaomi

MiMo-V2.5

Input
$0.36/M
Output
$1.8/M
Speed
88 tok/s
TTFT
2.03s

Winner by Category

Cheaper
MiMo-V2.5
Faster (tok/s)
MiMo-V2.5
Lower Latency
MiMo-V2.5
Benchmarks (4-7)
MiMo-V2.5

Pricing Comparison

MetricGLM-4.5V (Non-reasoning)MiMo-V2.5
Input ($/M tokens)$0.6$0.36
Output ($/M tokens)$1.8$1.8
Cost for 1M input + 100K output tokens:
GLM-4.5V (Non-reasoning)$0.78
MiMo-V2.5$0.54

Speed Comparison

Output Speed (tokens/s) — higher is better
GLM-4.5V (Non-reasoning)
53 tok/s
MiMo-V2.5
88 tok/s
Time to First Token (seconds) — lower is better
GLM-4.5V (Non-reasoning)
27.09s
MiMo-V2.5
2.03s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
12.749.0
Coding Index
10.842.1
Math Index
15.3
GPQA Diamond
57.3%84.9%
MMLU-Pro
75.1%
LiveCodeBench
35.2%
AIME 2025
15.3%
MATH-500
Humanity's Last Exam
3.6%25.2%
SciCode
18.8%43.1%
IFBench
28.6%67.1%
TerminalBench
6.8%41.7%
GLM-4.5V (Non-reasoning)4 wins
7 winsMiMo-V2.5

Frequently Asked Questions

Which is cheaper, GLM-4.5V (Non-reasoning) or MiMo-V2.5?

MiMo-V2.5 is cheaper overall. Its blended price (3:1 input/output ratio) is $0.72/M tokens vs $0.90/M for GLM-4.5V (Non-reasoning).

Which model performs better on benchmarks?

MiMo-V2.5 wins 7 out of 12 benchmarks compared to 4 for GLM-4.5V (Non-reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

MiMo-V2.5 generates tokens faster at 88 tok/s vs 53 tok/s. However, MiMo-V2.5 has lower time-to-first-token (2.03s vs 27.09s).

When should I use GLM-4.5V (Non-reasoning) vs MiMo-V2.5?

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