Model Comparison
Qwen3 Max vs Qwen3 VL 4B ThinkingWhich is better in 2026?
Qwen3 Max shows notably better performance in the majority of benchmarks. Qwen3 VL 4B Thinking is 5.0x cheaper per token.
Verdict: Qwen3 Max vs Qwen3 VL 4B Thinking — which is better?
Qwen3 Max (by Alibaba Cloud / Qwen Team) and Qwen3 VL 4B Thinking (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Qwen3 Max outperforms in 3 benchmarks (AIME 2025, LiveCodeBench v6, SuperGPQA), while Qwen3 VL 4B Thinking is better at 1 benchmark (GPQA). Qwen3 Max shows notably better performance in the majority of benchmarks.
On price, Qwen3 VL 4B Thinking is roughly 5.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3 VL 4B Thinking also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Choose Qwen3 Max if…
- you want the strongest raw capability — it leads on 3 of 4 shared benchmarks
- you want the most recent training data — it shipped Dec 2025
Choose Qwen3 VL 4B Thinking if…
- cost matters — it's about 5.0x cheaper per token
- you process long inputs — it offers a 262,144 token context window
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Qwen3 Max outperforms in 3 benchmarks (AIME 2025, LiveCodeBench v6, SuperGPQA), while Qwen3 VL 4B Thinking is better at 1 benchmark (GPQA).
Qwen3 Max shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Qwen3 Max ($0.50/1M tokens) is 5.0x more expensive than Qwen3 VL 4B Thinking ($0.10/1M tokens).
For output processing, Qwen3 Max ($5.00/1M tokens) is 5.0x more expensive than Qwen3 VL 4B Thinking ($1.00/1M tokens).
In conclusion, Qwen3 Max is more expensive than Qwen3 VL 4B Thinking.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3 Max has 996.0B more parameters than Qwen3 VL 4B Thinking, making it 24900.0% larger.
Context Window
Maximum input and output token capacity
Qwen3 VL 4B Thinking accepts 262,144 input tokens compared to Qwen3 Max's 256,000 tokens. Qwen3 VL 4B Thinking can generate longer responses up to 262,144 tokens, while Qwen3 Max is limited to 131,072 tokens.
Input Capabilities
Supported data types and modalities
Qwen3 VL 4B Thinking supports multimodal inputs, whereas Qwen3 Max does not.
Qwen3 VL 4B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen3 Max
Qwen3 VL 4B Thinking
License
Usage and distribution terms
Qwen3 Max is licensed under a proprietary license, while Qwen3 VL 4B Thinking uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Qwen3 Max was released on 2025-12-15, while Qwen3 VL 4B Thinking was released on 2025-09-22.
Qwen3 Max is 3 months newer than Qwen3 VL 4B Thinking.
Dec 15, 2025
5 months ago
2mo newerSep 22, 2025
8 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Qwen3 Max is available from Novita. Qwen3 VL 4B Thinking is available from DeepInfra.
Qwen3 Max
Qwen3 VL 4B Thinking
Outputs Comparison
Key Takeaways
Qwen3 Max
View detailsAlibaba Cloud / Qwen Team
Qwen3 VL 4B Thinking
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Qwen3 Max vs Qwen3 VL 4B Thinking.