Qwen3 VL 4B Thinking vs Qwen3.5-4B Comparison
Comparing Qwen3 VL 4B Thinking and Qwen3.5-4B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Qwen3 VL 4B Thinking outperforms in 0 benchmarks, while Qwen3.5-4B is better at 10 benchmarks (GPQA, HMMT25, IFEval, Include, LiveCodeBench v6, MMLU-Pro, MMLU-ProX, MMLU-Redux, PolyMATH, SuperGPQA).
Qwen3.5-4B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Qwen3.5-4B has 0.0B more parameters than Qwen3 VL 4B Thinking, making it 0.0% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 VL 4B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 4B Thinking specifies output context (262,144 tokens).
Input Capabilities
Supported data types and modalities
Both Qwen3 VL 4B Thinking and Qwen3.5-4B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Qwen3 VL 4B Thinking
Qwen3.5-4B
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Qwen3 VL 4B Thinking was released on 2025-09-22, while Qwen3.5-4B was released on 2026-03-02.
Qwen3.5-4B is 5 months newer than Qwen3 VL 4B Thinking.
Sep 22, 2025
5 months ago
Mar 2, 2026
1 weeks ago
5mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
Qwen3 VL 4B Thinking
View detailsAlibaba Cloud / Qwen Team
Qwen3.5-4B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
| Feature | | |
|---|