Model Comparison

GLM-5 vs MAI-Thinking-1

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-Thinking-1 is better at 0 benchmarks.

GLM-5 significantly outperforms across most benchmarks.

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

256.0B diff

MAI-Thinking-1 has 256.0B more parameters than GLM-5, making it 34.4% larger.

Zhipu AI
GLM-5
744.0Bparameters
Microsoft
MAI-Thinking-1
1.0Tparameters
744.0B
GLM-5
1000.0B
MAI-Thinking-1

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-Thinking-1
Input- tokens
Output- tokens
Sat Jun 06 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, while MAI-Thinking-1 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-Thinking-1

Proprietary

Closed source

Release Timeline

When each model was launched

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

MAI-Thinking-1 is 4 months newer than GLM-5.

GLM-5

Feb 11, 2026

3 months ago

MAI-Thinking-1

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

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 73.5%)
Higher Terminal-Bench 2.0 score (56.2% vs 46.0%)
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-Thinking-1

FAQ

Common questions about GLM-5 vs MAI-Thinking-1.

Which is better, GLM-5 or MAI-Thinking-1?

GLM-5 significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI and MAI-Thinking-1 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-Thinking-1 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-Thinking-1 scores LongFact: 98.0%, AIME 2025: 97.0%, AIME 2026: 94.5%, GraphWalks: 90.0%, AIR-Bench: 88.0%.

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

GLM-5 supports 200K tokens and MAI-Thinking-1 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-Thinking-1?

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

Who makes GLM-5 and MAI-Thinking-1?

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