Model Comparison

GLM-4.5V vs Qwen3 32B

Comparing GLM-4.5V and Qwen3 32B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-4.5V and Qwen3 32B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 32B costs less

For input processing, GLM-4.5V ($0.55/1M tokens) is 5.5x more expensive than Qwen3 32B ($0.10/1M tokens).

For output processing, GLM-4.5V ($2.19/1M tokens) is 7.3x more expensive than Qwen3 32B ($0.30/1M tokens).

In conclusion, GLM-4.5V is more expensive than Qwen3 32B.*

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

Lowest available price from all providers

Sat May 09 2026 • llm-stats.com

GLM-4.5V

Input tokens$0.55

Output tokens$2.19

Best providerFireworks

Qwen3 32B

Input tokens$0.10

Output tokens$0.30

Best providerDeepinfra

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

75.2B diff

GLM-4.5V has 75.2B more parameters than Qwen3 32B, making it 229.3% larger.

GLM-4.5V

108.0Bparameters

Qwen3 32B

32.8Bparameters

108.0B

GLM-4.5V

32.8B

Qwen3 32B

Context Window

Maximum input and output token capacity

GLM-4.5V accepts 131,072 input tokens compared to Qwen3 32B's 128,000 tokens. GLM-4.5V can generate longer responses up to 131,072 tokens, while Qwen3 32B is limited to 128,000 tokens.

GLM-4.5V

Input131,072 tokens

Output131,072 tokens

Qwen3 32B

Input128,000 tokens

Output128,000 tokens

Sat May 09 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GLM-4.5V supports multimodal inputs, whereas Qwen3 32B 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

Qwen3 32B

Text

Images

Audio

Video

License

Usage and distribution terms

GLM-4.5V is licensed under MIT, while Qwen3 32B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

GLM-4.5V

MIT

Open weights

Qwen3 32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-4.5V was released on 2025-08-11, while Qwen3 32B was released on 2025-04-29.

GLM-4.5V is 3 months newer than Qwen3 32B.

GLM-4.5V

Aug 11, 2025

9 months ago

3mo newer

Qwen3 32B

Apr 29, 2025

1.0 years ago

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. Qwen3 32B is available from DeepInfra, Novita, Sambanova.

GLM-4.5V

Fireworks

Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M

Novita

Input Price:Input: $0.60/1MOutput Price:Output: $2.20/1M

Qwen3 32B

Deepinfra

Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M

Novita

Input Price:Input: $0.10/1MOutput Price:Output: $0.44/1M

Sambanova

Input Price:Input: $0.40/1MOutput Price:Output: $0.80/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

GLM-4.5V

View details

Zhipu AI

Larger context window (131,072 tokens)

Supports multimodal inputs

Qwen3 32B

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature	GLM-4.5V	Qwen3 32B

FAQ

Common questions about GLM-4.5V vs Qwen3 32B.

Which is better, GLM-4.5V or Qwen3 32B?

GLM-4.5V (Zhipu AI) and Qwen3 32B (Alibaba Cloud / Qwen Team) 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 Qwen3 32B in benchmarks?

Qwen3 32B scores Arena Hard: 93.8%, AIME 2024: 81.4%, LiveBench: 74.9%, MultiLF: 73.0%, AIME 2025: 72.9%.

Is GLM-4.5V cheaper than Qwen3 32B?

Qwen3 32B is 5.5x cheaper for input tokens. GLM-4.5V costs $0.55/M input and $2.19/M output via fireworks. Qwen3 32B costs $0.10/M input and $0.30/M output via deepinfra.

What are the context window sizes for GLM-4.5V and Qwen3 32B?

GLM-4.5V supports 131K tokens and Qwen3 32B supports 128K 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 Qwen3 32B?

Key differences include context window (131K vs 128K), input pricing ($0.55 vs $0.10/M), multimodal support (yes vs no), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.5V and Qwen3 32B?

GLM-4.5V is developed by Zhipu AI and Qwen3 32B is developed by Alibaba Cloud / Qwen Team.