Model Comparison

MiMo-V2-Omni vs GLM-5.2Which is better in 2026?

Comparing MiMo-V2-Omni and GLM-5.2 across benchmarks, pricing, and capabilities.

Verdict: MiMo-V2-Omni vs GLM-5.2 — which is better?

MiMo-V2-Omni (by Xiaomi) and GLM-5.2 (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.

On price, MiMo-V2-Omni is roughly 1.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5.2 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-Omni if…

  • cost matters — it's about 1.8x cheaper per token

Choose GLM-5.2 if…

  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Jun 2026
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

MiMo-V2-Omni and GLM-5.2don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiMo-V2-Omni costs less

For input processing, MiMo-V2-Omni ($0.40/1M tokens) is 2.4x cheaper than GLM-5.2 ($0.95/1M tokens).

For output processing, MiMo-V2-Omni ($2.00/1M tokens) is 1.5x cheaper than GLM-5.2 ($3.00/1M tokens).

In conclusion, GLM-5.2 is more expensive than MiMo-V2-Omni.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Jul 17 2026 • llm-stats.com
Xiaomi
MiMo-V2-Omni
Input tokens$0.40
Output tokens$2.00
Best providerXiaomi
Zhipu AI
GLM-5.2
Input tokens$0.95
Output tokens$3.00
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GLM-5.2 accepts 1,048,576 input tokens compared to MiMo-V2-Omni's 262,000 tokens. GLM-5.2 can generate longer responses up to 131,072 tokens, while MiMo-V2-Omni is limited to 16,384 tokens.

Xiaomi
MiMo-V2-Omni
Input262,000 tokens
Output16,384 tokens
Zhipu AI
GLM-5.2
Input1,048,576 tokens
Output131,072 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

MiMo-V2-Omni supports multimodal inputs, whereas GLM-5.2 does not.

MiMo-V2-Omni can handle both text and other forms of data like images, making it suitable for multimodal applications.

MiMo-V2-Omni

Text
Images
Audio
Video

GLM-5.2

Text
Images
Audio
Video

License

Usage and distribution terms

MiMo-V2-Omni is licensed under a proprietary license, while GLM-5.2 uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

MiMo-V2-Omni

Proprietary

Closed source

GLM-5.2

MIT

Open weights

Release Timeline

When each model was launched

MiMo-V2-Omni was released on 2026-03-18, while GLM-5.2 was released on 2026-06-16.

GLM-5.2 is 3 months newer than MiMo-V2-Omni.

MiMo-V2-Omni

Mar 18, 2026

4 months ago

GLM-5.2

Jun 16, 2026

1 months ago

3mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

MiMo-V2-Omni is available from Xiaomi. GLM-5.2 is available from DeepInfra, Fireworks, FriendliAI, Novita, Together, ZAI.

MiMo-V2-Omni

xiaomi logo
Xiaomi
Input Price:Input: $0.40/1MOutput Price:Output: $2.00/1M

GLM-5.2

deepinfra logo
Deepinfra
Input Price:Input: $0.95/1MOutput Price:Output: $3.00/1M
fireworks logo
Fireworks
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
friendli logo
FriendliAI
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
novita logo
Novita
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
together logo
Together
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Xiaomi
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Zhipu AI
Larger context window (1,048,576 tokens)
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against MiMo-V2-Omni and GLM-5.2 side-by-side, then vote on the output you prefer.

MiMo-V2-Omni
✓ Preferred
GLM-5.2
Open in Playground
AI Model Comparison Table
Feature
Xiaomi
MiMo-V2-Omni
Zhipu AI
GLM-5.2

FAQ

Common questions about MiMo-V2-Omni vs GLM-5.2.

Which is better, MiMo-V2-Omni or GLM-5.2?

MiMo-V2-Omni (Xiaomi) and GLM-5.2 (Zhipu AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does MiMo-V2-Omni compare to GLM-5.2 in benchmarks?

MiMo-V2-Omni scores PinchBench: 81.2%, SWE-Bench Verified: 74.8%, Claw-Eval: 54.8%, MM-BrowserComp: 52.0%, OmniGAIA: 49.8%. GLM-5.2 scores AIME 2026: 99.2%, HMMT 2025: 94.4%, HMMT Feb 26: 92.5%, GPQA: 91.2%, IMO-AnswerBench: 91.0%.

Is MiMo-V2-Omni cheaper than GLM-5.2?

MiMo-V2-Omni is 2.4x cheaper for input tokens. MiMo-V2-Omni costs $0.40/M input and $2.00/M output via xiaomi. GLM-5.2 costs $0.95/M input and $3.00/M output via deepinfra.

What are the context window sizes for MiMo-V2-Omni and GLM-5.2?

MiMo-V2-Omni supports 262K tokens and GLM-5.2 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between MiMo-V2-Omni and GLM-5.2?

Key differences include context window (262K vs 1.0M), input pricing ($0.40 vs $0.95/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes MiMo-V2-Omni and GLM-5.2?

MiMo-V2-Omni is developed by Xiaomi and GLM-5.2 is developed by Zhipu AI.

Related comparisons