GLM-4.5V vs Qwen3-Coder Comparison

Comparing GLM-4.5V and Qwen3-Coder 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-Coder 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-Coder costs less

For input processing, GLM-4.5V ($0.55/1M tokens) is 3.1x more expensive than Qwen3-Coder ($0.18/1M tokens).

For output processing, GLM-4.5V ($2.19/1M tokens) is 12.2x more expensive than Qwen3-Coder ($0.18/1M tokens).

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

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

Lowest available price from all providers

Sat Mar 14 2026 • llm-stats.com

GLM-4.5V

Input tokens$0.55

Output tokens$2.19

Best providerFireworks

Qwen3-Coder

Input tokens$0.18

Output tokens$0.18

Best providerDeepinfra

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Model Size

Parameter count comparison

372.0B diff

Qwen3-Coder has 372.0B more parameters than GLM-4.5V, making it 344.4% larger.

GLM-4.5V

108.0Bparameters

Qwen3-Coder

480.0Bparameters

108.0B

GLM-4.5V

480.0B

Qwen3-Coder

Context Window

Maximum input and output token capacity

Qwen3-Coder accepts 256,000 input tokens compared to GLM-4.5V's 131,072 tokens. Qwen3-Coder can generate longer responses up to 256,000 tokens, while GLM-4.5V is limited to 131,072 tokens.

GLM-4.5V

Input131,072 tokens

Output131,072 tokens

Qwen3-Coder

Input256,000 tokens

Output256,000 tokens

Sat Mar 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GLM-4.5V supports multimodal inputs, whereas Qwen3-Coder 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-Coder

Text

Images

Audio

Video

License

Usage and distribution terms

GLM-4.5V is licensed under MIT, while Qwen3-Coder 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-Coder

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-4.5V was released on 2025-08-11, while Qwen3-Coder was released on 2025-01-01.

GLM-4.5V is 7 months newer than Qwen3-Coder.

GLM-4.5V

Aug 11, 2025

7 months ago

7mo newer

Qwen3-Coder

Jan 1, 2025

1.2 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-Coder is available from DeepInfra, Fireworks. The availability of providers can affect quality of the model and reliability.