Model Comparison

MiMo-V2-Pro vs GLM-5.1Which is better in 2026?

Both models are evenly matched across the benchmarks. MiMo-V2-Pro is 1.4x cheaper per token.

Verdict: MiMo-V2-Pro vs GLM-5.1 — which is better?

MiMo-V2-Pro (by Xiaomi) and GLM-5.1 (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-Pro outperforms in 1 benchmarks (GDPval-AA), while GLM-5.1 is better at 1 benchmark (Terminal-Bench 2.0). Both models are evenly matched across the benchmarks.

On price, MiMo-V2-Pro is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

MiMo-V2-Pro also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose MiMo-V2-Pro if…

  • cost matters — it's about 1.4x cheaper per token
  • you process long inputs — it offers a 1,000,000 token context window

Choose GLM-5.1 if…

  • you want the most recent training data — it shipped Apr 2026
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

MiMo-V2-Pro outperforms in 1 benchmarks (GDPval-AA), while GLM-5.1 is better at 1 benchmark (Terminal-Bench 2.0).

Both models are evenly matched across the benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiMo-V2-Pro costs less

For input processing, MiMo-V2-Pro ($1.00/1M tokens) is 1.4x cheaper than GLM-5.1 ($1.40/1M tokens).

For output processing, MiMo-V2-Pro ($3.00/1M tokens) is 1.5x cheaper than GLM-5.1 ($4.40/1M tokens).

In conclusion, GLM-5.1 is more expensive than MiMo-V2-Pro.*

* 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-5.1
Input tokens$1.40
Output tokens$4.40
Best providerFriendliAI
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

246.0B diff

MiMo-V2-Pro has 246.0B more parameters than GLM-5.1, making it 32.6% larger.

Xiaomi
MiMo-V2-Pro
1.0Tparameters
Zhipu AI
GLM-5.1
754.0Bparameters
1000.0B
MiMo-V2-Pro
754.0B
GLM-5.1

Context Window

Maximum input and output token capacity

MiMo-V2-Pro accepts 1,000,000 input tokens compared to GLM-5.1's 200,000 tokens. GLM-5.1 can generate longer responses up to 128,000 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-5.1
Input200,000 tokens
Output128,000 tokens
Fri Jul 17 2026 • llm-stats.com

License

Usage and distribution terms

MiMo-V2-Pro is licensed under a proprietary license, while GLM-5.1 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-5.1

MIT

Open weights

Release Timeline

When each model was launched

MiMo-V2-Pro was released on 2026-03-18, while GLM-5.1 was released on 2026-04-07.

GLM-5.1 is 1 month newer than MiMo-V2-Pro.

MiMo-V2-Pro

Mar 18, 2026

4 months ago

GLM-5.1

Apr 7, 2026

3 months ago

2w 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-5.1 is available from FriendliAI, ZAI.

MiMo-V2-Pro

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

GLM-5.1

friendli logo
FriendliAI
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
Larger context window (1,000,000 tokens)
Less expensive input tokens
Less expensive output tokens
Higher GDPval-AA score (47.5% vs 42.7%)
Zhipu AI
Has open weights
Higher Terminal-Bench 2.0 score (69.0% vs 57.1%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against MiMo-V2-Pro and GLM-5.1 side-by-side, then vote on the output you prefer.

MiMo-V2-Pro
✓ Preferred
GLM-5.1
Open in Playground
AI Model Comparison Table
Feature
Xiaomi
MiMo-V2-Pro
Zhipu AI
GLM-5.1

FAQ

Common questions about MiMo-V2-Pro vs GLM-5.1.

Which is better, MiMo-V2-Pro or GLM-5.1?

Both models are evenly matched across the benchmarks. MiMo-V2-Pro is made by Xiaomi and GLM-5.1 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-Pro compare to GLM-5.1 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-5.1 scores Vending-Bench 2: 100.0%, AIME 2026: 95.3%, HMMT 2025: 94.0%, GPQA: 86.2%, IMO-AnswerBench: 83.8%.

Is MiMo-V2-Pro cheaper than GLM-5.1?

MiMo-V2-Pro is 1.4x cheaper for input tokens. MiMo-V2-Pro costs $1.00/M input and $3.00/M output via xiaomi. GLM-5.1 costs $1.40/M input and $4.40/M output via friendli.

What are the context window sizes for MiMo-V2-Pro and GLM-5.1?

MiMo-V2-Pro supports 1.0M tokens and GLM-5.1 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-Pro and GLM-5.1?

Key differences include context window (1.0M vs 200K), input pricing ($1.00 vs $1.40/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes MiMo-V2-Pro and GLM-5.1?

MiMo-V2-Pro is developed by Xiaomi and GLM-5.1 is developed by Zhipu AI.

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