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GLM-4.5-Air vs GLM-5.3

GLM-5.3 significantly outperforms across most benchmarks.

Zhipu AI · Zhipu AI · Updated for 2026

Which is better?

GLM-4.5-Air outperforms in 0 benchmarks, while GLM-5.3 is better at 1 benchmark (Humanity's Last Exam). GLM-5.3 significantly outperforms across most benchmarks.

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

Choose GLM-4.5-Air

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

Choose GLM-5.3

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Benchmark wins
0 of 1
1 of 1
Input price
— / M
$1.40 / M
Output price
— / M
$4.40 / M
Context window
1,000,000
Released
Jul 2025
Aug 2026
License
MIT
Unknown

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GLM-4.5-Air outperforms in 0 benchmarks, while GLM-5.3 is better at 1 benchmark (Humanity's Last Exam).

GLM-5.3 significantly outperforms across most benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

647.0B diff

GLM-5.3 has 647.0B more parameters than GLM-4.5-Air, making it 610.4% larger.

Zhipu AI
GLM-4.5-Air
106.0Bparameters
Zhipu AI
GLM-5.3
753.0Bparameters
106.0B
GLM-4.5-Air
753.0B
GLM-5.3

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-4.5-Air
Input- tokens
Output- tokens
Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
Tue Aug 25 2026 • llm-stats.com

Release Timeline

When each model was launched

GLM-4.5-Air was released on 2025-07-28, while GLM-5.3 was released on 2026-08-14.

GLM-5.3 is 13 months newer than GLM-4.5-Air.

GLM-4.5-Air

Jul 28, 2025

1.1 years ago

GLM-5.3

Aug 14, 2026

1 weeks ago

1.0yr 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

Judge for yourself.

Run your own prompts against GLM-4.5-Air and GLM-5.3 side-by-side, then vote on the output you prefer.

GLM-4.5-Air
✓ Preferred
GLM-5.3
Open in Playground

FAQ

Common questions about GLM-4.5-Air vs GLM-5.3.

Which is better, GLM-4.5-Air or GLM-5.3?

GLM-5.3 significantly outperforms across most benchmarks. GLM-4.5-Air is made by Zhipu AI and GLM-5.3 is made by Zhipu AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-4.5-Air compare to GLM-5.3 in benchmarks?

GLM-4.5-Air scores MATH-500: 98.1%, AIME 2024: 89.4%, MMLU-Pro: 81.4%, TAU-bench Retail: 77.9%, BFCL-v3: 76.4%. GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%.

What are the context window sizes for GLM-4.5-Air and GLM-5.3?

GLM-4.5-Air supports an unknown number of tokens and GLM-5.3 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-4.5-Air and GLM-5.3?

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