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GLM-4.5 vs GLM-5.3

GLM-5.3 significantly outperforms across most benchmarks. GLM-4.5 is 3.1x cheaper per token.

Zhipu AI · Zhipu AI · Updated for 2026

Which is better?

GLM-4.5 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.

On price, GLM-4.5 is roughly 3.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5.3 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose GLM-4.5

  • cost matters — it's about 3.1x cheaper per token
  • 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 process long inputs — it offers a 1,000,000 token context window
  • 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
$0.40 / M
$1.40 / M
Output price
$1.60 / M
$4.40 / M
Context window
131,072
1,000,000
Released
Jul 2025
Aug 2026
License
MIT
Unknown

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GLM-4.5 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.

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

GLM-4.5 costs less

For input processing, GLM-4.5 ($0.40/1M tokens) is 3.5x cheaper than GLM-5.3 ($1.40/1M tokens).

For output processing, GLM-4.5 ($1.60/1M tokens) is 2.8x cheaper than GLM-5.3 ($4.40/1M tokens).

In conclusion, GLM-5.3 is more expensive than GLM-4.5.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Aug 24 2026 • llm-stats.com
Zhipu AI
GLM-4.5
Input tokens$0.40
Output tokens$1.60
Best providerDeepinfra
Zhipu AI
GLM-5.3
Input tokens$1.40
Output tokens$4.40
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

398.0B diff

GLM-5.3 has 398.0B more parameters than GLM-4.5, making it 112.1% larger.

Zhipu AI
GLM-4.5
355.0Bparameters
Zhipu AI
GLM-5.3
753.0Bparameters
355.0B
GLM-4.5
753.0B
GLM-5.3

Context Window

Maximum input and output token capacity

GLM-5.3 accepts 1,000,000 input tokens compared to GLM-4.5's 131,072 tokens. GLM-4.5 can generate longer responses up to 131,072 tokens, while GLM-5.3 is limited to 128,000 tokens.

Zhipu AI
GLM-4.5
Input131,072 tokens
Output131,072 tokens
Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
Mon Aug 24 2026 • llm-stats.com

Release Timeline

When each model was launched

GLM-4.5 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.

GLM-4.5

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

Provider Availability

GLM-4.5 is available from DeepInfra, Fireworks, Novita. GLM-5.3 is available from ZAI.

GLM-4.5

deepinfra logo
Deepinfra
Input Price:Input: $0.40/1MOutput Price:Output: $1.60/1M
fireworks logo
Fireworks
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $2.20/1M

GLM-5.3

z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

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

GLM-4.5
✓ Preferred
GLM-5.3
Open in Playground

FAQ

Common questions about GLM-4.5 vs GLM-5.3.

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

GLM-5.3 significantly outperforms across most benchmarks. GLM-4.5 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 compare to GLM-5.3 in benchmarks?

GLM-4.5 scores MATH-500: 98.2%, AIME 2024: 91.0%, MMLU-Pro: 84.6%, TAU-bench Retail: 79.7%, GPQA: 79.1%. GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%.

Is GLM-4.5 cheaper than GLM-5.3?

GLM-4.5 is 3.5x cheaper for input tokens. GLM-4.5 costs $0.40/M input and $1.60/M output via deepinfra. GLM-5.3 costs $1.40/M input and $4.40/M output via z.

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

GLM-4.5 supports 131K 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 and GLM-5.3?

Key differences include context window (131K vs 1.0M), input pricing ($0.40 vs $1.40/M), licensing (MIT vs Unknown). See the full comparison above for benchmark-by-benchmark results.