Model Comparison

GLM-4.5V vs Qwen3 Max

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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-4.5V and Qwen3 Max 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

GLM-4.5V costs less

For input processing, GLM-4.5V ($0.55/1M tokens) is 1.1x more expensive than Qwen3 Max ($0.50/1M tokens).

For output processing, GLM-4.5V ($2.19/1M tokens) is 2.3x cheaper than Qwen3 Max ($5.00/1M tokens).

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

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

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Zhipu AI
GLM-4.5V
Input tokens$0.55
Output tokens$2.19
Best providerFireworks
Alibaba Cloud / Qwen Team
Qwen3 Max
Input tokens$0.50
Output tokens$5.00
Best providerNovita
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

892.0B diff

Qwen3 Max has 892.0B more parameters than GLM-4.5V, making it 825.9% larger.

Zhipu AI
GLM-4.5V
108.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 Max
1000.0Bparameters
108.0B
GLM-4.5V
1000.0B
Qwen3 Max

Context Window

Maximum input and output token capacity

Qwen3 Max accepts 256,000 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
Alibaba Cloud / Qwen Team
Qwen3 Max
Input256,000 tokens
Output131,072 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.5V is licensed under MIT, while Qwen3 Max uses a proprietary license.

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

GLM-4.5V

MIT

Open weights

Qwen3 Max

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-4.5V was released on 2025-08-11, while Qwen3 Max was released on 2025-12-15.

Qwen3 Max is 4 months newer than GLM-4.5V.

GLM-4.5V

Aug 11, 2025

8 months ago

Qwen3 Max

Dec 15, 2025

4 months ago

4mo 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. Qwen3 Max is available from Novita.

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

Qwen3 Max

novita logo
Novita
Input Price:Input: $0.50/1MOutput Price:Output: $5.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Supports multimodal inputs
Less expensive output tokens
Has open weights
Alibaba Cloud / Qwen Team

Qwen3 Max

View details

Alibaba Cloud / Qwen Team

Larger context window (256,000 tokens)
Less expensive input tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-4.5V
Alibaba Cloud / Qwen Team
Qwen3 Max

FAQ

Common questions about GLM-4.5V vs Qwen3 Max

GLM-4.5V (Zhipu AI) and Qwen3 Max (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.
Qwen3 Max scores AIME 2025: 81.6%, t2-bench: 74.8%, SWE-Bench Verified: 69.6%, LiveCodeBench v6: 69.0%, SuperGPQA: 65.1%.
Qwen3 Max is 1.1x cheaper for input tokens. GLM-4.5V costs $0.55/M input and $2.19/M output via fireworks. Qwen3 Max costs $0.50/M input and $5.00/M output via novita.
GLM-4.5V supports 131K tokens and Qwen3 Max supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 256K), input pricing ($0.55 vs $0.50/M), multimodal support (yes vs no), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
GLM-4.5V is developed by Zhipu AI and Qwen3 Max is developed by Alibaba Cloud / Qwen Team.