Model Comparison

GLM-5 vs MiniMax M2.7

MiniMax M2.7 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GLM-5 outperforms in 0 benchmarks, while MiniMax M2.7 is better at 1 benchmark (Terminal-Bench 2.0).

MiniMax M2.7 significantly outperforms across most benchmarks.

Thu Apr 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 02 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
MiniMax
MiniMax M2.7
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

GLM-5

MIT

Open weights

MiniMax M2.7

MIT

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while MiniMax M2.7 was released on 2026-03-18.

MiniMax M2.7 is 1 month newer than GLM-5.

GLM-5

Feb 11, 2026

1 months ago

MiniMax M2.7

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

Outputs Comparison

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Key Takeaways

Zhipu AI
MiniMax
Higher Terminal-Bench 2.0 score (57.0% vs 56.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
MiniMax
MiniMax M2.7

FAQ

Common questions about GLM-5 vs MiniMax M2.7

MiniMax M2.7 significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI and MiniMax M2.7 is made by MiniMax. 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%. MiniMax M2.7 scores SWE-bench Multilingual: 76.5%, MLE-Bench Lite: 66.6%, MM-ClawBench: 62.7%, Terminal-Bench 2.0: 57.0%, SWE-Bench Pro: 56.2%.
GLM-5 is developed by Zhipu AI and MiniMax M2.7 is developed by MiniMax.