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GLM-4.5V vs GLM-5.3

Comparing GLM-4.5V and GLM-5.3 across benchmarks, pricing, and capabilities.

Zhipu AI · Zhipu AI · Updated for 2026

Which is better?

GLM-4.5V and GLM-5.3 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, GLM-4.5V is roughly 2.2x 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-4.5V

  • cost matters — it's about 2.2x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose GLM-5.3

  • 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
Input price
$0.55 / M
$1.40 / M
Output price
$2.19 / M
$4.40 / M
Context window
131,072
1,000,000
Released
Aug 2025
Aug 2026
License
MIT
Unknown

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-4.5V and GLM-5.3don'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

Pricing Analysis

Price comparison per million tokens

GLM-4.5V costs less

For input processing, GLM-4.5V ($0.55/1M tokens) is 2.5x cheaper than GLM-5.3 ($1.40/1M tokens).

For output processing, GLM-4.5V ($2.19/1M tokens) is 2.0x cheaper than GLM-5.3 ($4.40/1M tokens).

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

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

Lowest available price from all providers
Tue Aug 25 2026 • llm-stats.com
Zhipu AI
GLM-4.5V
Input tokens$0.55
Output tokens$2.19
Best providerFireworks
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

645.0B diff

GLM-5.3 has 645.0B more parameters than GLM-4.5V, making it 597.2% larger.

Zhipu AI
GLM-4.5V
108.0Bparameters
Zhipu AI
GLM-5.3
753.0Bparameters
108.0B
GLM-4.5V
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-4.5V's 131,072 tokens. GLM-4.5V can generate longer responses up to 131,072 tokens, while GLM-5.3 is limited to 128,000 tokens.

Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GLM-4.5V supports multimodal inputs, whereas GLM-5.3 does not.

GLM-4.5V can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-4.5V

Text
Images
Audio
Video

GLM-5.3

Text
Images
Audio
Video

Release Timeline

When each model was launched

GLM-4.5V was released on 2025-08-11, while GLM-5.3 was released on 2026-08-14.

GLM-5.3 is 12 months newer than GLM-4.5V.

GLM-4.5V

Aug 11, 2025

1.0 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-4.5V is available from Fireworks, Novita. GLM-5.3 is available from ZAI.

GLM-4.5V

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-4.5V and GLM-5.3 side-by-side, then vote on the output you prefer.

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

FAQ

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

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

GLM-4.5V (Zhipu AI) and GLM-5.3 (Zhipu AI) 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-4.5V compare to GLM-5.3 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%.

Is GLM-4.5V cheaper than GLM-5.3?

GLM-4.5V is 2.5x cheaper for input tokens. GLM-4.5V costs $0.55/M input and $2.19/M output via fireworks. GLM-5.3 costs $1.40/M input and $4.40/M output via z.

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

GLM-4.5V 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-4.5V and GLM-5.3?

Key differences include context window (131K vs 1.0M), input pricing ($0.55 vs $1.40/M), multimodal support (yes vs no), licensing (MIT vs Unknown). See the full comparison above for benchmark-by-benchmark results.