Agents / Qwen
Qwen3.5 · 4B
A compact vision-language model for reasoning, coding, agents, and image understanding.
Not yet testedRepository opened Feb 27, 2026
LOCALCLOUDOPEN WEIGHTS
This is a source-based starting point. We haven’t independently tested this model yet. Source-based estimates are separate from our test results. Measured speed and our verdict will appear after a reproducible test.
At a glance
- Parameters
- 4B language
- Architecture
- Dense vision-language
- Context length
- 262,144 native
- License
- Apache 2.0
- Recommended VRAM
- Not yet tested
- Minimum tested VRAM
- Not yet tested
- Disk space
- Not yet tested
- Software
- Transformers
HARDWARE ESTIMATE
What will it need?
Our test notes
Not yet tested. We’ll publish the hardware, quantization, context, speed, peak memory, and load time together. A parameter count alone is not a hardware requirement.
Our verdict
Not yet tested. Check the publisher’s documentation for capabilities and limitations; we’ll add an independent verdict after testing.
Explore its uses
AGENTSREASONINGCODINGMULTIMODAL
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