Qwen3.5 4B (Non-reasoning)
Intelligence
22.6
#235/521
Coding
13.7
#286/427
Math
—
Speed
—
Pricing
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Qwen3.5-4B is a 4 billion parameter vision-language model using Gated DeltaNet hybrid architecture with a 3:1 ratio of linear attention to full softmax attention. It supports 262K native context length and delivers strong performance for its size across knowledge, reasoning, coding, and multilingual tasks.
Qwen3.5 4B (Non-reasoning) is Alibaba’s model designed for various natural language processing tasks. It features an Intelligence Index of 22.6, making it suitable for applications requiring moderate cognitive capabilities.
When to Use Qwen3.5 4B (Non-reasoning)
✓ Best For
- Text generation and summarization.
- Basic coding assistance.
- Data analysis tasks.
✗ Not Ideal For
- Complex reasoning tasks.
- High-speed processing needs.
How Qwen3.5 4B (Non-reasoning) Compares
Intelligence Index · Higher is better
MistralInclusionAIAlibabaDeepSeek
Benchmark Profile
Coding Index
AlibabaMistralGoogleAmazon
Intelligence · Coding · Math
Intelligence
Coding
Math
All Benchmark Scores (9)
| Benchmark | Score | |
|---|---|---|
| Intelligence Index | 22.6 | |
| Coding Index | 13.7 | |
| GPQA | 712% | |
| HLE | 75% | |
| SciCode | 18.3% | |
| IFBench | 33.3% | |
| LCR | 28.3% | |
| TerminalBench Hard | 11.4% | |
| Tau2 | 87.7% |
Data: Artificial Analysis · Updated: March 27, 2026
Frequently Asked Questions (15)
When was Qwen3.5 4B (Non-reasoning) released?
Qwen3.5 4B (Non-reasoning) was released on March 2, 2026.
Who created Qwen3.5 4B (Non-reasoning)?
Qwen3.5 4B (Non-reasoning) was created by Alibaba.
How intelligent is Qwen3.5 4B (Non-reasoning)?
Qwen3.5 4B (Non-reasoning) scores 23 on the Artificial Analysis Intelligence Index, placing it well above average among other open weight non-reasoning models of similar size (median: 12).
How verbose is Qwen3.5 4B (Non-reasoning)?
When evaluated on the Intelligence Index, Qwen3.5 4B (Non-reasoning) generated 75M output tokens, which is at the higher end compared to other open weight non-reasoning models of similar size (median: 5.3M).
Is Qwen3.5 4B (Non-reasoning) a reasoning model?
No, Qwen3.5 4B (Non-reasoning) is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
What input modalities does Qwen3.5 4B (Non-reasoning) support?
Qwen3.5 4B (Non-reasoning) supports text, image, and video input.
What output modalities does Qwen3.5 4B (Non-reasoning) support?
Qwen3.5 4B (Non-reasoning) supports text output.
Can Qwen3.5 4B (Non-reasoning) process images?
Yes, Qwen3.5 4B (Non-reasoning) supports image input and can analyze, describe, and answer questions about images.
Is Qwen3.5 4B (Non-reasoning) multimodal?
Yes, Qwen3.5 4B (Non-reasoning) is multimodal. It can process text, image, and video input and generate text output.
What is the context window of Qwen3.5 4B (Non-reasoning)?
Qwen3.5 4B (Non-reasoning) has a context window of 260k tokens. This determines how much text and conversation history the model can process in a single request.
Is Qwen3.5 4B (Non-reasoning) open source?
Yes, Qwen3.5 4B (Non-reasoning) is open weights. The model weights are publicly available and can be downloaded for self-hosting.
How many parameters does Qwen3.5 4B (Non-reasoning) have?
Qwen3.5 4B (Non-reasoning) has 4.66 billion parameters.
What is the license for Qwen3.5 4B (Non-reasoning)?
Qwen3.5 4B (Non-reasoning) is released under the Apache 2.0 license. This license allows commercial use.
How does Qwen3.5 4B (Non-reasoning) perform on benchmarks?
Qwen3.5 4B (Non-reasoning) achieves a score of 23 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Is Qwen3.5 4B (Non-reasoning) available via API?
Qwen3.5 4B (Non-reasoning) is an open weights model that can be self-hosted.
