Qwen3 VL 4B (Reasoning)
Qwen3 VL 4B (Reasoning)Alternatives?
CheaperQwen3.8 FlashthinkingOpen+53%-29%$0.37Memory (4-bit): 2.2 GB → 108 GB+6
BetterGPT-6 Lunalow+46%-38%$0.005Function calling only with none · Chat Completions+3
OpenGemma 4 12Bthinking+34%-54%$0.10 / $0.30Memory (4-bit): 2.2 GB → 6 GB
CheaperMiniMax M3.1 Flashthinking+52%-19%$0.22Complete model response must be appended
CheaperLing 3.0 Flash VLthinkingOpen+52%-72%$0.06 / $0.18Memory (4-bit): 2.2 GB → 75 GBQwen3.8 FlashthinkingOpen+53%-29%$0.37Memory (4-bit): 2.2 GB → 108 GB+6GPT-6 Lunaxhigh+53%-38%$0.042Function calling only with none · Chat Completions+3MiniMax M3.1 Flashthinking+52%-19%$0.22Complete model response must be appendedLing 3.0 Flash VLthinkingOpen+52%-72%$0.06 / $0.18Memory (4-bit): 2.2 GB → 75 GB
Agnes 2.5 Pro Beta+45%-54%$0.10 / $0.30GPT-6 Lunalow+46%-38%$0.005Function calling only with none · Chat Completions+3GPT-5.6 Lunalow+42%+38%$0.01
Mistral Small 4thinkingOpen+9%-19%$0.015Memory (4-bit): 2.2 GB → 72 GB
MiMo v2.5thinkingOpen+45%-46%$0.019Memory (4-bit): 2.2 GB → 186 GBMistral Large 3non-thinkingOpen+7%+131%$0.031Memory (4-bit): not verifiedGemma 4 12BthinkingOpen+34%-54%$0.10 / $0.30Memory (4-bit): 2.2 GB → 6 GBQwen 3.5 9BthinkingOpen+33%-72%$0.21Memory (4-bit): 2.2 GB → 4.8 GBQwen3.5 4BthinkingOpen+26%-82%$0.03 / $0.15Memory (4-bit): 2.2 GB → 2.3 GB
Step3 VL 10BOpen+23%——Context: 256K → 66K+1Qwen3 VL 8B (Reasoning)thinkingOpen+9%+102%$0.18 / $2.09Memory (4-bit): 2.2 GB → 4.4 GBQwen3.8 Max (0902)thinking+59%—$5.41Qwen3.7 Plusthinking+55%—$0.22Qwen3.8 FlashthinkingOpen+53%—$0.37Memory (4-bit): 2.2 GB → 108 GB+6Qwen3.6 Plusthinking+50%—$0.50 / $3Qwen3.5 397B A17BthinkingOpen+49%—$0.47Memory (4-bit): 2.2 GB → 242 GBQwen3.6 35B A3BthinkingOpen+44%—$0.48Memory (4-bit): 2.2 GB → 22 GBQwen 3.5 27BthinkingOpen+44%—$0.30 / $2.40Memory (4-bit): 2.2 GB → 17 GBQwen 3.5 122B A10BthinkingOpen+44%—$0.32Memory (4-bit): 2.2 GB → 75 GBAll Alibaba (Qwen) models →Run it yourself
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in Vision & DocumentsFAQ
How much does Qwen3 VL 4B (Reasoning) cost?›
$0.10 per 1M input tokens and $1 per 1M output tokens (cheapest host: DeepInfra).
Is Qwen3 VL 4B (Reasoning) free to use?›
There is no free API; the cheapest paid price is $0.10 per 1M input tokens. The weights are open, so you can run it yourself.
How good is Qwen3 VL 4B (Reasoning), and what is it best at?›
#289 of 334 in Chat & Knowledge, #195 of 239 in Coding, #207 of 242 in Agents & Tool Use, #174 of 245 in Writing & Language, #108 of 124 in Vision & Documents.
Is Qwen3 VL 4B (Reasoning) better than NVIDIA Nemotron Nano 12B v2 VL?›
On MMMU-Pro (vision), Qwen3 VL 4B (Reasoning) scores 52 vs 52.9 — about the same.
How can I use Qwen3 VL 4B (Reasoning)?›
Through the API of DeepInfra, Featherless.
What is the context window of Qwen3 VL 4B (Reasoning)?›
256K tokens.
When was Qwen3 VL 4B (Reasoning) released? Is there a newer version?›
Released 2025-10-14. It has been superseded by Qwen3.5 4B.
Is Qwen3 VL 4B (Reasoning) open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Qwen3 VL 4B (Reasoning) locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
Can Qwen3 VL 4B (Reasoning) read images?›
It accepts text and images as input.
What is Qwen3 VL 4B (Reasoning)?›
Qwen3 VL 4B (Reasoning) is an open-weights language model from Alibaba (Qwen), released Oct 2025.
What are the best alternatives to Qwen3 VL 4B (Reasoning)?›
Qwen3.8 Flash (cheaper), GPT-6 Luna (better), Gemma 4 12B (open weights).