Model Comparison
MiMo-V2.5-Pro vs GLM-5.1Which is better in 2026?
GLM-5.1 shows notably better performance in the majority of benchmarks. MiMo-V2.5-Pro is 4.0x cheaper per token.
Verdict: MiMo-V2.5-Pro vs GLM-5.1 — which is better?
MiMo-V2.5-Pro (by Xiaomi) and GLM-5.1 (by Zhipu AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
MiMo-V2.5-Pro outperforms in 2 benchmarks (GDPval-AA, TAU3-Bench), while GLM-5.1 is better at 5 benchmarks (Finance Agent v2, GPQA, Humanity's Last Exam, SWE-Bench Pro, Terminal-Bench 2.0). GLM-5.1 shows notably better performance in the majority of 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.
Choose MiMo-V2.5-Pro if…
- cost matters — it's about 4.0x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Apr 2026
Choose GLM-5.1 if…
- you want the strongest raw capability — it leads on 5 of 7 shared benchmarks
Performance Benchmarks
Comparative analysis across standard metrics
MiMo-V2.5-Pro outperforms in 2 benchmarks (GDPval-AA, TAU3-Bench), while GLM-5.1 is better at 5 benchmarks (Finance Agent v2, GPQA, Humanity's Last Exam, SWE-Bench Pro, Terminal-Bench 2.0).
GLM-5.1 shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, MiMo-V2.5-Pro ($0.43/1M tokens) is 3.2x cheaper than GLM-5.1 ($1.40/1M tokens).
For output processing, MiMo-V2.5-Pro ($0.87/1M tokens) is 5.1x cheaper than GLM-5.1 ($4.40/1M tokens).
In conclusion, GLM-5.1 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 269.2B more parameters than GLM-5.1, making it 35.7% larger.
Context Window
Maximum input and output token capacity
MiMo-V2.5-Pro accepts 1,048,576 input tokens compared to GLM-5.1's 200,000 tokens. MiMo-V2.5-Pro can generate longer responses up to 131,072 tokens, while GLM-5.1 is limited to 128,000 tokens.
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
MiMo-V2.5-Pro was released on 2026-04-27, while GLM-5.1 was released on 2026-04-07.
MiMo-V2.5-Pro is 1 month newer than GLM-5.1.
Apr 27, 2026
2 months ago
2w newerApr 7, 2026
3 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
MiMo-V2.5-Pro is available from Xiaomi, DeepInfra, Novita. GLM-5.1 is available from FriendliAI, ZAI.
MiMo-V2.5-Pro
GLM-5.1
Outputs Comparison
Key Takeaways
GLM-5.1
View detailsZhipu AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against MiMo-V2.5-Pro and GLM-5.1 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about MiMo-V2.5-Pro vs GLM-5.1.