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GLM-5.3 vs Phi 4 Reasoning

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

Zhipu AI · Microsoft · Updated for 2026

Which is better?

GLM-5.3 and Phi 4 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 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 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 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

739.0B diff

GLM-5.3 has 739.0B more parameters than Phi 4 Reasoning, making it 5278.6% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
Microsoft
Phi 4 Reasoning
14.0Bparameters
753.0B
GLM-5.3
14.0B
Phi 4 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 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 Reasoning was released on 2025-04-30.

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

GLM-5.3

Aug 14, 2026

1 weeks ago

1.3yr newer
Phi 4 Reasoning

Apr 30, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Phi 4 Reasoning has a documented knowledge cutoff of 2025-03-01, while GLM-5.3's cutoff date is not specified.

We can confirm Phi 4 Reasoning's training data extends to 2025-03-01, but cannot make a direct comparison without GLM-5.3's cutoff date.

GLM-5.3

—

Phi 4 Reasoning

Mar 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 Reasoning side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
Phi 4 Reasoning
Open in Playground

FAQ

Common questions about GLM-5.3 vs Phi 4 Reasoning.

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

GLM-5.3 (Zhipu AI) and Phi 4 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 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 Reasoning scores FlenQA: 97.7%, HumanEval+: 92.9%, IFEval: 83.4%, OmniMath: 76.6%, AIME 2024: 75.3%.

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

GLM-5.3 supports 1.0M tokens and Phi 4 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 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 Reasoning?

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

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