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GLM-5.3 vs Phi 4 Mini Reasoning

Comparing GLM-5.3 and Phi 4 Mini Reasoning across benchmarks, pricing, and capabilities.

Zhipu AI · Microsoft · Updated for 2026

Which is better?

GLM-5.3 and Phi 4 Mini Reasoning trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose GLM-5.3

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

Choose Phi 4 Mini Reasoning

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GLM-5.3
Zhipu AI
Phi 4 Mini Reasoning
Microsoft
Benchmark wins
—
—
Input price
$1.40 / M
— / M
Output price
$4.40 / M
— / M
Context window
1,000,000
—
Released
Aug 2026
Apr 2025
License
Unknown
MIT

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3 and Phi 4 Mini Reasoningdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

749.2B diff

GLM-5.3 has 749.2B more parameters than Phi 4 Mini Reasoning, making it 19715.8% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
Microsoft
Phi 4 Mini Reasoning
3.8Bparameters
753.0B
GLM-5.3
3.8B
Phi 4 Mini Reasoning

Context Window

Maximum input and output token capacity

Only GLM-5.3 specifies input context (1,000,000 tokens). Only GLM-5.3 specifies output context (128,000 tokens).

Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
Microsoft
Phi 4 Mini Reasoning
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while Phi 4 Mini Reasoning was released on 2025-04-30.

GLM-5.3 is 16 months newer than Phi 4 Mini Reasoning.

GLM-5.3

Aug 14, 2026

1 weeks ago

1.3yr newer
Phi 4 Mini Reasoning

Apr 30, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Phi 4 Mini Reasoning has a documented knowledge cutoff of 2025-02-01, while GLM-5.3'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-5.3's cutoff date.

GLM-5.3

—

Phi 4 Mini Reasoning

Feb 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GLM-5.3 and Phi 4 Mini Reasoning side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
Phi 4 Mini Reasoning
Open in Playground

FAQ

Common questions about GLM-5.3 vs Phi 4 Mini Reasoning.

Which is better, GLM-5.3 or Phi 4 Mini Reasoning?

GLM-5.3 (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-5.3 compare to Phi 4 Mini Reasoning in benchmarks?

GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%. Phi 4 Mini Reasoning scores MATH-500: 94.6%, AIME: 57.5%, GPQA: 52.0%.

What are the context window sizes for GLM-5.3 and Phi 4 Mini Reasoning?

GLM-5.3 supports 1.0M 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.

What are the main differences between GLM-5.3 and Phi 4 Mini Reasoning?

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

Who makes GLM-5.3 and Phi 4 Mini Reasoning?

GLM-5.3 is developed by Zhipu AI and Phi 4 Mini Reasoning is developed by Microsoft.

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