Model Comparison
MiMo-V2.5-Pro vs GLM-5V-TurboWhich is better in 2026?
GLM-5V-Turbo significantly outperforms across most benchmarks. MiMo-V2.5-Pro is 3.5x cheaper per token.
Verdict: MiMo-V2.5-Pro vs GLM-5V-Turbo — which is better?
MiMo-V2.5-Pro (by Xiaomi) and GLM-5V-Turbo (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 0 benchmarks, while GLM-5V-Turbo is better at 1 benchmark (Claw-Eval). GLM-5V-Turbo significantly outperforms across most benchmarks.
On price, MiMo-V2.5-Pro is roughly 3.5x 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 3.5x 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
- you need open weights you can self-host or fine-tune
Choose GLM-5V-Turbo if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
Performance Benchmarks
Comparative analysis across standard metrics
MiMo-V2.5-Pro outperforms in 0 benchmarks, while GLM-5V-Turbo is better at 1 benchmark (Claw-Eval).
GLM-5V-Turbo significantly outperforms across most 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 2.8x cheaper than GLM-5V-Turbo ($1.20/1M tokens).
For output processing, MiMo-V2.5-Pro ($0.87/1M tokens) is 4.6x cheaper than GLM-5V-Turbo ($4.00/1M tokens).
In conclusion, GLM-5V-Turbo is more expensive than MiMo-V2.5-Pro.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
MiMo-V2.5-Pro accepts 1,048,576 input tokens compared to GLM-5V-Turbo's 200,000 tokens. MiMo-V2.5-Pro can generate longer responses up to 131,072 tokens, while GLM-5V-Turbo is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
GLM-5V-Turbo supports multimodal inputs, whereas MiMo-V2.5-Pro does not.
GLM-5V-Turbo can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiMo-V2.5-Pro
GLM-5V-Turbo
License
Usage and distribution terms
MiMo-V2.5-Pro is licensed under MIT, while GLM-5V-Turbo uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
MiMo-V2.5-Pro was released on 2026-04-27, while GLM-5V-Turbo was released on 2026-04-02.
MiMo-V2.5-Pro is 1 month newer than GLM-5V-Turbo.
Apr 27, 2026
2 months ago
3w newerApr 2, 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-5V-Turbo is available from ZAI.
MiMo-V2.5-Pro
GLM-5V-Turbo
Outputs Comparison
Key Takeaways
GLM-5V-Turbo
View detailsZhipu AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against MiMo-V2.5-Pro and GLM-5V-Turbo side-by-side, then vote on the output you prefer.
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FAQ
Common questions about MiMo-V2.5-Pro vs GLM-5V-Turbo.