Model Comparison

GLM-5 vs MAI-Code-1-Flash

GLM-5 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GLM-5 outperforms in 2 benchmarks (SWE-Bench Verified, Terminal-Bench 2.0), while MAI-Code-1-Flash is better at 0 benchmarks.

GLM-5 significantly outperforms across most benchmarks.

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GLM-5 specifies input context (200,000 tokens). Only GLM-5 specifies output context (128,000 tokens).

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Microsoft
MAI-Code-1-Flash
Input- tokens
Output- tokens
Sat Jun 06 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, while MAI-Code-1-Flash 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

MAI-Code-1-Flash

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while MAI-Code-1-Flash was released on 2026-06-02.

MAI-Code-1-Flash is 4 months newer than GLM-5.

GLM-5

Feb 11, 2026

3 months ago

MAI-Code-1-Flash

Jun 2, 2026

4 days 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

Outputs Comparison

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Key Takeaways

Zhipu AI
Larger context window (200,000 tokens)
Has open weights
Higher SWE-Bench Verified score (77.8% vs 71.6%)
Higher Terminal-Bench 2.0 score (56.2% vs 54.8%)
Microsoft

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

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Microsoft
MAI-Code-1-Flash

FAQ

Common questions about GLM-5 vs MAI-Code-1-Flash.

Which is better, GLM-5 or MAI-Code-1-Flash?

GLM-5 significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI and MAI-Code-1-Flash is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-5 compare to MAI-Code-1-Flash 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%. MAI-Code-1-Flash scores AIME 2026: 92.5%, GPQA: 84.6%, IFBench: 75.0%, Tau2 Telecom: 71.7%, SWE-Bench Verified: 71.6%.

What are the context window sizes for GLM-5 and MAI-Code-1-Flash?

GLM-5 supports 200K tokens and MAI-Code-1-Flash supports an unknown number of 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 MAI-Code-1-Flash?

Key differences include licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and MAI-Code-1-Flash?

GLM-5 is developed by Zhipu AI and MAI-Code-1-Flash is developed by Microsoft.