The AI arena is free today

Open Superagent

GLM-4.5V vs GLM-5.3-Flash

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

Zhipu AI · Zhipu AI · Updated for 2026

Which is better?

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

On price, GLM-5.3-Flash is roughly 4.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5.3-Flash 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

  • you want predictable pricing at $0.55/M input and $2.19/M output

Choose GLM-5.3-Flash

  • cost matters — it's about 4.0x cheaper per token
  • 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.

GLM-4.5V
Zhipu AI
GLM-5.3-Flash
Zhipu AI
Benchmark wins
—
—
Input price
$0.55 / M
$0.15 / M
Output price
$2.19 / M
$0.50 / M
Context window
131,072
1,000,000
Released
Aug 2025
Aug 2026
License
MIT
MIT

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-4.5V and GLM-5.3-Flashdon'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-5.3-Flash costs less

For input processing, GLM-4.5V ($0.55/1M tokens) is 3.7x more expensive than GLM-5.3-Flash ($0.15/1M tokens).

For output processing, GLM-4.5V ($2.19/1M tokens) is 4.4x more expensive than GLM-5.3-Flash ($0.50/1M tokens).

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

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

Lowest available price from all providers
Wed Aug 26 2026 • llm-stats.com
Zhipu AI
GLM-4.5V
Input tokens$0.55
Output tokens$2.19
Best providerFireworks
Zhipu AI
GLM-5.3-Flash
Input tokens$0.15
Output tokens$0.50
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

212.0B diff

GLM-5.3-Flash has 212.0B more parameters than GLM-4.5V, making it 196.3% larger.

Zhipu AI
GLM-4.5V
108.0Bparameters
Zhipu AI
GLM-5.3-Flash
320.0Bparameters
108.0B
GLM-4.5V
320.0B
GLM-5.3-Flash

Context Window

Maximum input and output token capacity

GLM-5.3-Flash accepts 1,000,000 input tokens compared to GLM-4.5V's 131,072 tokens. Both models can generate responses up to 131,072 tokens.

Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
Zhipu AI
GLM-5.3-Flash
Input1,000,000 tokens
Output131,072 tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GLM-4.5V and GLM-5.3-Flash support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GLM-4.5V

Text
Images
Audio
Video

GLM-5.3-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

GLM-4.5V

MIT

Open weights

GLM-5.3-Flash

MIT

Open weights

Release Timeline

When each model was launched

GLM-4.5V was released on 2025-08-11, while GLM-5.3-Flash was released on 2026-08-26.

GLM-5.3-Flash is 13 months newer than GLM-4.5V.

GLM-4.5V

Aug 11, 2025

1.0 years ago

GLM-5.3-Flash

Aug 26, 2026

0 days 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-Flash 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-Flash

z logo
Unknown Organization
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M
* 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-Flash side-by-side, then vote on the output you prefer.

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

FAQ

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

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

GLM-4.5V (Zhipu AI) and GLM-5.3-Flash (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-Flash in benchmarks?

GLM-5.3-Flash scores CharXiv-R: 89.4%, Terminal-Bench 2.1: 84.3%, MMVU: 80.5%, Toolathlon: 78.4%, MVBench: 77.8%.

Is GLM-4.5V cheaper than GLM-5.3-Flash?

GLM-5.3-Flash is 3.7x cheaper for input tokens. GLM-4.5V costs $0.55/M input and $2.19/M output via fireworks. GLM-5.3-Flash costs $0.15/M input and $0.50/M output via z.

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

GLM-4.5V supports 131K tokens and GLM-5.3-Flash 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-Flash?

Key differences include context window (131K vs 1.0M), input pricing ($0.55 vs $0.15/M). See the full comparison above for benchmark-by-benchmark results.

Related comparisons