Model Comparison
MiMo-V2-Omni vs GLM-5V-TurboWhich is better in 2026?
Both models are evenly matched across the benchmarks. MiMo-V2-Omni is 2.4x cheaper per token.
Verdict: MiMo-V2-Omni vs GLM-5V-Turbo — which is better?
MiMo-V2-Omni (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-Omni outperforms in 1 benchmarks (PinchBench), while GLM-5V-Turbo is better at 1 benchmark (Claw-Eval). Both models are evenly matched across the benchmarks.
On price, MiMo-V2-Omni is roughly 2.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2-Omni also accepts a larger context window (262,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose MiMo-V2-Omni if…
- cost matters — it's about 2.4x cheaper per token
- you process long inputs — it offers a 262,000 token context window
Choose GLM-5V-Turbo if…
- you want the most recent training data — it shipped Apr 2026
Performance Benchmarks
Comparative analysis across standard metrics
MiMo-V2-Omni outperforms in 1 benchmarks (PinchBench), while GLM-5V-Turbo is better at 1 benchmark (Claw-Eval).
Both models are evenly matched across the benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, MiMo-V2-Omni ($0.40/1M tokens) is 3.0x cheaper than GLM-5V-Turbo ($1.20/1M tokens).
For output processing, MiMo-V2-Omni ($2.00/1M tokens) is 2.0x cheaper than GLM-5V-Turbo ($4.00/1M tokens).
In conclusion, GLM-5V-Turbo is more expensive than MiMo-V2-Omni.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
MiMo-V2-Omni accepts 262,000 input tokens compared to GLM-5V-Turbo's 200,000 tokens. GLM-5V-Turbo can generate longer responses up to 128,000 tokens, while MiMo-V2-Omni is limited to 16,384 tokens.
Input Capabilities
Supported data types and modalities
Both MiMo-V2-Omni and GLM-5V-Turbo support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
MiMo-V2-Omni
GLM-5V-Turbo
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
MiMo-V2-Omni was released on 2026-03-18, while GLM-5V-Turbo was released on 2026-04-02.
GLM-5V-Turbo is 1 month newer than MiMo-V2-Omni.
Mar 18, 2026
4 months ago
Apr 2, 2026
3 months ago
2w newerKnowledge 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-Omni is available from Xiaomi. GLM-5V-Turbo is available from ZAI.
MiMo-V2-Omni
GLM-5V-Turbo
Outputs Comparison
Key Takeaways
MiMo-V2-Omni
View detailsXiaomi
GLM-5V-Turbo
View detailsZhipu AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against MiMo-V2-Omni and GLM-5V-Turbo side-by-side, then vote on the output you prefer.
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FAQ
Common questions about MiMo-V2-Omni vs GLM-5V-Turbo.