Model Comparison

GLM-5 vs Phi 4 Mini Reasoning

Comparing GLM-5 and Phi 4 Mini Reasoning across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Phi 4 Mini Reasoning don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

740.2B diff

GLM-5 has 740.2B more parameters than Phi 4 Mini Reasoning, making it 19478.9% larger.

Zhipu AI
GLM-5
744.0Bparameters
Microsoft
Phi 4 Mini Reasoning
3.8Bparameters
744.0B
GLM-5
3.8B
Phi 4 Mini Reasoning

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
Phi 4 Mini Reasoning
Input- tokens
Output- tokens
Mon Jun 01 2026 • llm-stats.com

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

Phi 4 Mini Reasoning

MIT

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Phi 4 Mini Reasoning was released on 2025-04-30.

GLM-5 is 10 months newer than Phi 4 Mini Reasoning.

GLM-5

Feb 11, 2026

3 months ago

9mo newer
Phi 4 Mini Reasoning

Apr 30, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

Phi 4 Mini Reasoning has a documented knowledge cutoff of 2025-02-01, while GLM-5's cutoff date is not specified.

We can confirm Phi 4 Mini Reasoning's training data extends to 2025-02-01, but cannot make a direct comparison without GLM-5's cutoff date.

GLM-5

—

Phi 4 Mini Reasoning

Feb 2025

Outputs Comparison

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Key Takeaways

Zhipu AI
Larger context window (200,000 tokens)
Microsoft

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

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Microsoft
Phi 4 Mini Reasoning

FAQ

Common questions about GLM-5 vs Phi 4 Mini Reasoning.

Which is better, GLM-5 or Phi 4 Mini Reasoning?

GLM-5 (Zhipu AI) and Phi 4 Mini Reasoning (Microsoft) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GLM-5 compare to Phi 4 Mini Reasoning 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%. Phi 4 Mini Reasoning scores MATH-500: 94.6%, AIME: 57.5%, GPQA: 52.0%.

What are the context window sizes for GLM-5 and Phi 4 Mini Reasoning?

GLM-5 supports 200K tokens and Phi 4 Mini Reasoning supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Who makes GLM-5 and Phi 4 Mini Reasoning?

GLM-5 is developed by Zhipu AI and Phi 4 Mini Reasoning is developed by Microsoft.