Alibaba has launched a newer model, Qwen3.5 4B, we suggest considering this model instead.
For more information, see Comparison of Qwen3.5 4B to other models and API provider benchmarks for Qwen3.5 4B.
Qwen3 VL 4B (Reasoning) Intelligence, Performance & Price Analysis
Model summary
Intelligence
Artificial Analysis Intelligence Index
Speed
Output tokens per second
Input Price
USD per 1M tokens
Output Price
USD per 1M tokens
Verbosity
Output tokens from Intelligence Index
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
- <$0.15 per 1M tokens
- $0.15–$1 per 1M tokens
- >$1 per 1M tokens
| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text, image |
| Output modality | Supports: text |
| Context window | 256k ~384 A4 pages of size 12 Arial font |
| Total parameters | 4.4B |
| License | Apache 2.0 |
| Model weights | Hugging Face |
Qwen3 VL 4B (Reasoning) is amongst the leading models in intelligence and well priced when comparing to other open weight models of similar size. The model supports text and image input, outputs text, and has a 256k tokens context window.
Qwen3 VL 4B (Reasoning) scores 14 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (averaging 8). When evaluating the Intelligence Index, it generated 62M tokens, which is very verbose in comparison to the average of 16M.
Pricing for Qwen3 VL 4B (Reasoning) is $0.00 per 1M input tokens (competitively priced, average: $0.00) and $0.00 per 1M output tokens (competitively priced, average: $0.00). In total, it cost $0.00 to evaluate Qwen3 VL 4B (Reasoning) on the Intelligence Index.
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Openness
Artificial Analysis Openness Index: Results
Intelligence Index Comparisons
Intelligence vs. Price
Intelligence Index Token Use & Cost
Output Tokens Used to Run Artificial Analysis Intelligence Index
Cost to Run Artificial Analysis Intelligence Index
Context Window
Context Window
Pricing
Pricing: Input and Output Prices
Intelligence vs. Price (Log Scale)
Pricing Comparison of Qwen3 VL 4B (Reasoning) API Providers
Speed
Measured by Output Speed (tokens per second)
Output Speed
Output Speed vs. Price
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 Tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
Frequently Asked Questions
Common questions about Qwen3 VL 4B (Reasoning)
Qwen3 VL 4B (Reasoning) was released on October 14, 2025.
Qwen3 VL 4B (Reasoning) was created by Alibaba.
Qwen3 VL 4B (Reasoning) scores 14 on the Artificial Analysis Intelligence Index, placing it well above average among other open weight models of similar size (median: 8).
When evaluated on the Intelligence Index, Qwen3 VL 4B (Reasoning) generated 62M output tokens, which is at the higher end compared to other open weight models of similar size (median: 16M).
Yes, Qwen3 VL 4B (Reasoning) is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
Qwen3 VL 4B (Reasoning) supports text and image input.
Qwen3 VL 4B (Reasoning) supports text output.
Yes, Qwen3 VL 4B (Reasoning) supports image input and can analyze, describe, and answer questions about images.
Yes, Qwen3 VL 4B (Reasoning) is multimodal. It can process text and image input and generate text output.
Qwen3 VL 4B (Reasoning) has a context window of 260k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, Qwen3 VL 4B (Reasoning) is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Qwen3 VL 4B (Reasoning) has 4.44 billion parameters.
Qwen3 VL 4B (Reasoning) is released under the Apache 2.0 license. This license allows commercial use. View license
Qwen3 VL 4B (Reasoning) achieves a score of 14 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Qwen3 VL 4B (Reasoning) is an open weights model that can be self-hosted. View providers
Qwen3 VL 4B (Reasoning) is an open weights model that can be downloaded and self-hosted. Compare providers