Model Comparison

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

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

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

MiMo-V2-Pro (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.

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-Pro if…

  • you want predictable pricing at $1.00/M input and $3.00/M output

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-Pro 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

GLM-5.2 costs less

For input processing, MiMo-V2-Pro ($1.00/1M tokens) is 1.1x more expensive than GLM-5.2 ($0.95/1M tokens).

For output processing, MiMo-V2-Pro ($3.00/1M tokens) costs the same as GLM-5.2 ($3.00/1M tokens).

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

* 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-Pro
Input tokens$1.00
Output tokens$3.00
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→

Model Size

Parameter count comparison

247.0B diff

MiMo-V2-Pro has 247.0B more parameters than GLM-5.2, making it 32.8% larger.

Xiaomi
MiMo-V2-Pro
1.0Tparameters
Zhipu AI
GLM-5.2
753.0Bparameters
1000.0B
MiMo-V2-Pro
753.0B
GLM-5.2

Context Window

Maximum input and output token capacity

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

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

License

Usage and distribution terms

MiMo-V2-Pro 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-Pro

Proprietary

Closed source

GLM-5.2

MIT

Open weights

Release Timeline

When each model was launched

MiMo-V2-Pro 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-Pro.

MiMo-V2-Pro

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-Pro is available from Xiaomi. GLM-5.2 is available from DeepInfra, Fireworks, FriendliAI, Novita, Together, ZAI.

MiMo-V2-Pro

xiaomi logo
Xiaomi
Input Price:Input: $1.00/1MOutput Price:Output: $3.00/1M

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

No standout differentiators in the data we have for this pair.

Zhipu AI
Larger context window (1,048,576 tokens)
Less expensive input tokens
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

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

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

FAQ

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

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

MiMo-V2-Pro (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-Pro compare to GLM-5.2 in benchmarks?

MiMo-V2-Pro scores Tau2 Telecom: 96.8%, DeepSearchQA: 86.7%, PinchBench: 81.0%, SWE-Bench Verified: 78.0%, SWE-bench Multilingual: 71.7%. 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-Pro cheaper than GLM-5.2?

GLM-5.2 is 1.1x cheaper for input tokens. MiMo-V2-Pro costs $1.00/M input and $3.00/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-Pro and GLM-5.2?

MiMo-V2-Pro supports 1.0M 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-Pro and GLM-5.2?

Key differences include context window (1.0M vs 1.0M), input pricing ($1.00 vs $0.95/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

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

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

Related comparisons