GLM-5.3 vs MiMo-V2.5-Pro
GLM-5.3 significantly outperforms across most benchmarks. MiMo-V2.5-Pro is 4.0x cheaper per token.
Zhipu AI · Xiaomi · Updated for 2026
Which is better?
GLM-5.3 outperforms in 1 benchmarks (Humanity's Last Exam), while MiMo-V2.5-Pro is better at 0 benchmarks. GLM-5.3 significantly outperforms across most benchmarks.
On price, MiMo-V2.5-Pro is roughly 4.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2.5-Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose GLM-5.3
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you want the most recent training data — it shipped Aug 2026
Choose MiMo-V2.5-Pro
- cost matters — it's about 4.0x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
GLM-5.3 outperforms in 1 benchmarks (Humanity's Last Exam), while MiMo-V2.5-Pro is better at 0 benchmarks.
GLM-5.3 significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-5.3 ($1.40/1M tokens) is 3.2x more expensive than MiMo-V2.5-Pro ($0.43/1M tokens).
For output processing, GLM-5.3 ($4.40/1M tokens) is 5.1x more expensive than MiMo-V2.5-Pro ($0.87/1M tokens).
In conclusion, GLM-5.3 is more expensive than MiMo-V2.5-Pro.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
MiMo-V2.5-Pro has 270.2B more parameters than GLM-5.3, making it 35.9% larger.
Context Window
Maximum input and output token capacity
MiMo-V2.5-Pro accepts 1,048,576 input tokens compared to GLM-5.3's 1,000,000 tokens. MiMo-V2.5-Pro can generate longer responses up to 131,072 tokens, while GLM-5.3 is limited to 128,000 tokens.
Release Timeline
When each model was launched
GLM-5.3 was released on 2026-08-14, while MiMo-V2.5-Pro was released on 2026-04-27.
GLM-5.3 is 4 months newer than MiMo-V2.5-Pro.
Aug 14, 2026
1 weeks ago
3mo newerApr 27, 2026
4 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GLM-5.3 is available from ZAI. MiMo-V2.5-Pro is available from Xiaomi, DeepInfra, Novita.
GLM-5.3
MiMo-V2.5-Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5.3 and MiMo-V2.5-Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.3 vs MiMo-V2.5-Pro.