Model Comparison

GLM-5 vs MiMo-V2-Pro

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

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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.

Fri Apr 03 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
Fri Apr 03 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerUnknown Organization
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
1000.0Bparameters
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
Fri Apr 03 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

1 months ago

MiMo-V2-Pro

Mar 18, 2026

2 weeks 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 ZAI. MiMo-V2-Pro is available from Xiaomi.

GLM-5

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

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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

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Xiaomi
MiMo-V2-Pro

FAQ

Common questions about GLM-5 vs 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.
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%.
Both models cost $1.00 per million input tokens.
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.
Key differences include context window (200K vs 1.0M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
GLM-5 is developed by Zhipu AI and MiMo-V2-Pro is developed by Xiaomi.