Model Comparison

GLM-5 vs MAI-Code-1-FlashWhich is better in 2026?

GLM-5 significantly outperforms across most benchmarks.

Verdict: GLM-5 vs MAI-Code-1-Flash — which is better?

GLM-5 (by Zhipu AI) and MAI-Code-1-Flash (by Microsoft) 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 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.

Choose GLM-5 if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you need open weights you can self-host or fine-tune

Choose MAI-Code-1-Flash if…

  • you want the most recent training data — it shipped Jun 2026

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.

Tue Jul 21 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
Tue Jul 21 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

5 months ago

MAI-Code-1-Flash

Jun 2, 2026

1 months 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

Notice missing or incorrect data?Start an Issue discussion→

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

Interactive Arena

Judge for yourself.

Run your own prompts against GLM-5 and MAI-Code-1-Flash side-by-side, then vote on the output you prefer.

GLM-5
✓ Preferred
MAI-Code-1-Flash
Open in Playground
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.

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