Qwen3 VL 4B Instruct
Qwen3 VL 4B InstructAlternatives?
CheaperGPT-6 Lunaxhigh+82%-11%$0.042Function calling only with none · Chat Completions+3
OpenGemma 4 12Bthinking+59%-33%$0.10 / $0.30Memory (4-bit): 2.2 GB → 6 GB
CheaperLing 3.0 Flash VLthinkingOpen+80%-60%$0.06 / $0.18Memory (4-bit): 2.2 GB → 75 GB
CheaperAgnes 2.5 Pro Beta+72%-33%$0.10 / $0.30
CheaperMiMo v2.5thinkingOpen+72%-22%$0.019Memory (4-bit): 2.2 GB → 186 GBGPT-6 Lunaxhigh+82%-11%$0.042Function calling only with none · Chat Completions+3Ling 3.0 Flash VLthinkingOpen+80%-60%$0.06 / $0.18Memory (4-bit): 2.2 GB → 75 GBAgnes 2.5 Pro Beta+72%-33%$0.10 / $0.30MiMo v2.5thinkingOpen+72%-22%$0.019Memory (4-bit): 2.2 GB → 186 GBGemma 4 31BthinkingOpen+67%-29%$0.10 / $0.34Memory (4-bit): 2.2 GB → 19 GBGPT-6 Lunalow+73%-11%$0.005Function calling only with none · Chat Completions+3Gemma 4 E4BthinkingOpen+17%-82%$0.008Context: 256K → 128K+1GPT-5.6 Lunalow+69%+100%$0.01
Ministral 3 8B 2512Open+5%-33%$0.011Memory (4-bit): 2.2 GB → 4.5 GBMistral Small 4thinkingOpen+30%+17%$0.015Memory (4-bit): 2.2 GB → 72 GBGemma 4 12BthinkingOpen+59%-33%$0.10 / $0.30Memory (4-bit): 2.2 GB → 6 GBQwen 3.5 9BthinkingOpen+58%-59%$0.21Memory (4-bit): 2.2 GB → 4.8 GBQwen3.5 4BthinkingOpen+49%-73%$0.03 / $0.15Memory (4-bit): 2.2 GB → 2.3 GB
Step3 VL 10BOpen+46%——Context: 256K → 66K+1Qwen3 VL 8B (Reasoning)thinkingOpen+29%+192%$0.18 / $2.09Memory (4-bit): 2.2 GB → 4.4 GBQwen3.8 Max (0902)thinking+89%—$5.41Qwen3.7 Plusthinking+83%—$0.22Qwen3.8 FlashthinkingOpen+82%—$0.37Memory (4-bit): 2.2 GB → 108 GB+6Qwen3.6 Plusthinking+78%—$0.50 / $3Qwen3.5 397B A17BthinkingOpen+76%—$0.47Memory (4-bit): 2.2 GB → 242 GBQwen3.6 35B A3BthinkingOpen+71%—$0.48Memory (4-bit): 2.2 GB → 22 GBQwen 3.5 27BthinkingOpen+71%—$0.30 / $2.40Memory (4-bit): 2.2 GB → 17 GBQwen 3.5 122B A10BthinkingOpen+71%—$0.32Memory (4-bit): 2.2 GB → 75 GBAll Alibaba (Qwen) models →Run it yourself
estimateBenchmarks
in Vision & DocumentsFAQ
How much does Qwen3 VL 4B Instruct cost?›
$0.10 per 1M input tokens and $0.60 per 1M output tokens (cheapest host: DeepInfra).
Is Qwen3 VL 4B Instruct 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 Instruct, and what is it best at?›
#321 of 334 in Chat & Knowledge, #210 of 239 in Coding, #175 of 242 in Agents & Tool Use, #204 of 245 in Writing & Language, #116 of 124 in Vision & Documents.
Is Qwen3 VL 4B Instruct better than Gemma 4 E2B?›
On MMMU-Pro (vision), Qwen3 VL 4B Instruct scores 43.9 vs 44.6 — about the same.
How can I use Qwen3 VL 4B Instruct?›
Through the API of DeepInfra, Featherless.
What is the context window of Qwen3 VL 4B Instruct?›
256K tokens.
When was Qwen3 VL 4B Instruct released? Is there a newer version?›
Released 2025-10-14. It has been superseded by Qwen3.5 4B.
Is Qwen3 VL 4B Instruct open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Qwen3 VL 4B Instruct locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
Can Qwen3 VL 4B Instruct read images?›
It accepts text and images as input.
What is Qwen3 VL 4B Instruct?›
Qwen3 VL 4B Instruct is an open-weights language model from Alibaba (Qwen), released Oct 2025.
What are the best alternatives to Qwen3 VL 4B Instruct?›
GPT-6 Luna (cheaper), Gemma 4 12B (open weights).