Model Comparison

MiMo-V2.5 vs GLM-5V-TurboWhich is better in 2026?

GLM-5V-Turbo significantly outperforms across most benchmarks. MiMo-V2.5 is 9.0x cheaper per token.

Verdict: MiMo-V2.5 vs GLM-5V-Turbo — which is better?

MiMo-V2.5 (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 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 is roughly 9.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

MiMo-V2.5 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 if…

  • cost matters — it's about 9.0x 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
  • 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

1 benchmarks

MiMo-V2.5 outperforms in 0 benchmarks, while GLM-5V-Turbo is better at 1 benchmark (Claw-Eval).

GLM-5V-Turbo significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiMo-V2.5 costs less

For input processing, MiMo-V2.5 ($0.17/1M tokens) is 7.1x cheaper than GLM-5V-Turbo ($1.20/1M tokens).

For output processing, MiMo-V2.5 ($0.34/1M tokens) is 11.9x cheaper than GLM-5V-Turbo ($4.00/1M tokens).

In conclusion, GLM-5V-Turbo is more expensive than MiMo-V2.5.*

* 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-V2.5
Input tokens$0.17
Output tokens$0.34
Best providerNovita
Zhipu AI
GLM-5V-Turbo
Input tokens$1.20
Output tokens$4.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

MiMo-V2.5 accepts 1,048,576 input tokens compared to GLM-5V-Turbo's 200,000 tokens. MiMo-V2.5 can generate longer responses up to 131,072 tokens, while GLM-5V-Turbo is limited to 128,000 tokens.

Xiaomi
MiMo-V2.5
Input1,048,576 tokens
Output131,072 tokens
Zhipu AI
GLM-5V-Turbo
Input200,000 tokens
Output128,000 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both MiMo-V2.5 and GLM-5V-Turbo support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

MiMo-V2.5

Text
Images
Audio
Video

GLM-5V-Turbo

Text
Images
Audio
Video

License

Usage and distribution terms

MiMo-V2.5 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.

MiMo-V2.5

MIT

Open weights

GLM-5V-Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

MiMo-V2.5 was released on 2026-04-22, while GLM-5V-Turbo was released on 2026-04-02.

MiMo-V2.5 is 1 month newer than GLM-5V-Turbo.

MiMo-V2.5

Apr 22, 2026

2 months ago

2w newer
GLM-5V-Turbo

Apr 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.

No cutoff dates available

Provider Availability

MiMo-V2.5 is available from Novita, DeepInfra. GLM-5V-Turbo is available from ZAI.

MiMo-V2.5

novita logo
Novita
Input Price:Input: $0.17/1MOutput Price:Output: $0.34/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.40/1MOutput Price:Output: $2.00/1M

GLM-5V-Turbo

z logo
Unknown Organization
Input Price:Input: $1.20/1MOutput Price:Output: $4.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Xiaomi
Larger context window (1,048,576 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Zhipu AI
Higher Claw-Eval score (75.0% vs 63.2%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against MiMo-V2.5 and GLM-5V-Turbo side-by-side, then vote on the output you prefer.

MiMo-V2.5
✓ Preferred
GLM-5V-Turbo
Open in Playground
AI Model Comparison Table
Feature
Xiaomi
MiMo-V2.5
Zhipu AI
GLM-5V-Turbo

FAQ

Common questions about MiMo-V2.5 vs GLM-5V-Turbo.

Which is better, MiMo-V2.5 or GLM-5V-Turbo?

GLM-5V-Turbo significantly outperforms across most benchmarks. MiMo-V2.5 is made by Xiaomi and GLM-5V-Turbo is made by Zhipu AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does MiMo-V2.5 compare to GLM-5V-Turbo in benchmarks?

MiMo-V2.5 scores HR-Bench (4k): 88.5%, Video-MME: 87.7%, OmniDocBench: 87.2%, GraphWalks: 87.0%, DailyOmni: 83.5%. GLM-5V-Turbo scores Design2Code: 94.8%, Flame-VLM-Code: 93.8%, V*: 89.0%, WebVoyager: 88.5%, PinchBench: 80.7%.

Is MiMo-V2.5 cheaper than GLM-5V-Turbo?

MiMo-V2.5 is 7.1x cheaper for input tokens. MiMo-V2.5 costs $0.17/M input and $0.34/M output via novita. GLM-5V-Turbo costs $1.20/M input and $4.00/M output via z.

What are the context window sizes for MiMo-V2.5 and GLM-5V-Turbo?

MiMo-V2.5 supports 1.0M tokens and GLM-5V-Turbo supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between MiMo-V2.5 and GLM-5V-Turbo?

Key differences include context window (1.0M vs 200K), input pricing ($0.17 vs $1.20/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes MiMo-V2.5 and GLM-5V-Turbo?

MiMo-V2.5 is developed by Xiaomi and GLM-5V-Turbo is developed by Zhipu AI.

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