Model Comparison

GLM-5 vs MiMo-V2-ProWhich is better in 2026?

MiMo-V2-Pro significantly outperforms across most benchmarks. MiMo-V2-Pro is 1.0x cheaper per token.

Verdict: GLM-5 vs MiMo-V2-Pro — which is better?

GLM-5 (by Zhipu AI) and MiMo-V2-Pro (by Xiaomi) 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 outperforms in 0 benchmarks, while MiMo-V2-Pro is better at 2 benchmarks (SWE-Bench Verified, Terminal-Bench 2.0). MiMo-V2-Pro significantly outperforms across most benchmarks.

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 GLM-5 if…

  • you need open weights you can self-host or fine-tune

Choose MiMo-V2-Pro if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Mar 2026

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GLM-5 outperforms in 0 benchmarks, while MiMo-V2-Pro is better at 2 benchmarks (SWE-Bench Verified, Terminal-Bench 2.0).

MiMo-V2-Pro significantly outperforms across most benchmarks.

Sun Jul 05 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiMo-V2-Pro costs less

For input processing, GLM-5 ($1.00/1M tokens) costs the same as MiMo-V2-Pro ($1.00/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 1.1x more expensive than MiMo-V2-Pro ($3.00/1M tokens).

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

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

Lowest available price from all providers
Sun Jul 05 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
Xiaomi
MiMo-V2-Pro
Input tokens$1.00
Output tokens$3.00
Best providerXiaomi
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

256.0B diff

MiMo-V2-Pro has 256.0B more parameters than GLM-5, making it 34.4% larger.

Zhipu AI
GLM-5
744.0Bparameters
Xiaomi
MiMo-V2-Pro
1.0Tparameters
744.0B
GLM-5
1000.0B
MiMo-V2-Pro

Context Window

Maximum input and output token capacity

MiMo-V2-Pro accepts 1,000,000 input tokens compared to GLM-5's 200,000 tokens. GLM-5 can generate longer responses up to 128,000 tokens, while MiMo-V2-Pro is limited to 16,384 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Xiaomi
MiMo-V2-Pro
Input1,000,000 tokens
Output16,384 tokens
Sun Jul 05 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, while MiMo-V2-Pro uses a proprietary license.

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

GLM-5

MIT

Open weights

MiMo-V2-Pro

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while MiMo-V2-Pro was released on 2026-03-18.

MiMo-V2-Pro is 1 month newer than GLM-5.

GLM-5

Feb 11, 2026

4 months ago

MiMo-V2-Pro

Mar 18, 2026

3 months ago

1mo 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

GLM-5 is available from FriendliAI, ZAI. MiMo-V2-Pro is available from Xiaomi.

GLM-5

friendli logo
FriendliAI
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M
z logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M

MiMo-V2-Pro

xiaomi logo
Xiaomi
Input Price:Input: $1.00/1MOutput Price:Output: $3.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI
Has open weights
Xiaomi
Larger context window (1,000,000 tokens)
Less expensive output tokens
Higher SWE-Bench Verified score (78.0% vs 77.8%)
Higher Terminal-Bench 2.0 score (57.1% vs 56.2%)

Detailed Comparison

Interactive Arena

Judge for yourself.

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

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

FAQ

Common questions about GLM-5 vs MiMo-V2-Pro.

Which is better, GLM-5 or MiMo-V2-Pro?

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

How does GLM-5 compare to MiMo-V2-Pro in benchmarks?

GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. MiMo-V2-Pro scores Tau2 Telecom: 96.8%, DeepSearchQA: 86.7%, PinchBench: 81.0%, SWE-Bench Verified: 78.0%, SWE-bench Multilingual: 71.7%.

Is GLM-5 cheaper than MiMo-V2-Pro?

Both models cost $1.00 per million input tokens.

What are the context window sizes for GLM-5 and MiMo-V2-Pro?

GLM-5 supports 200K tokens and MiMo-V2-Pro 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 GLM-5 and MiMo-V2-Pro?

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

Who makes GLM-5 and MiMo-V2-Pro?

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

Related comparisons