Qwen3 VL 32B Instruct
Qwen3 VL 32B InstructRankingin non-thinking mode?
Alternatives?
CheaperGPT OSS 120BhighOpen+37%-67%$0.11Context: 256K → 131K+2BetterGPT OSS 20BhighOpen+31%-80%$0.011Context: 256K → 131K+1
OpenNemotron 3 Nano 30B A3Bthinking+33%-42%$0.017Context: 256K → 131K+1CheaperGPT-5 Nanohigh+22%-24%$0.05 / $0.40CheaperNVIDIA Nemotron Nano 9B V2thinkingOpen+2%-62%$0.04 / $0.16Context: 256K → 131K+1GPT OSS 120BhighOpen+37%-67%$0.11Context: 256K → 131K+2Nemotron 3 Nano 30B A3BthinkingOpen+33%-42%$0.017Context: 256K → 131K+1GPT OSS 20BhighOpen+31%-80%$0.011Context: 256K → 131K+1GPT-5 Nanohigh+22%-24%$0.05 / $0.40NVIDIA Nemotron Nano 9B V2thinkingOpen+2%-62%$0.04 / $0.16Context: 256K → 131K+1GPT OSS 20BhighOpen+31%-80%$0.011Context: 256K → 131K+1Nemotron 3 Nano 30B A3BthinkingOpen+33%-42%$0.017Context: 256K → 131K+1GPT-5 Minihigh+33%+278%$0.053Qwen3 235B A22B Thinking 2507thinkingOpen+33%+311%$0.08Memory (4-bit): 20 GB → 141 GB+2GPT OSS 120BhighOpen+37%-67%$0.11Context: 256K → 131K+2Nemotron 3 Nano 30B A3BthinkingOpen+33%-42%$0.017Context: 256K → 131K+1GPT OSS 20BhighOpen+31%-80%$0.011Context: 256K → 131K+1SApriel v1.6 15B ThinkerOpen+29%——Context: 256K → 128KSApriel v1.5 15B ThinkerOpen+28%——Context: 256K → 128KQwen3 VL 32B (Reasoning)Open+24%+188%$0.20 / $1.50Qwen3 235B A22B Thinking 2507thinkingOpen+33%—$0.08Memory (4-bit): 20 GB → 141 GB+2Qwen3 VL 32B (Reasoning)Open+24%—$0.20 / $1.50Qwen3 Next 80B A3B ThinkingthinkingOpen+23%—$0.50 / $6Memory (4-bit): 20 GB → 49 GB+1Qwen3 4B 2507 (Reasoning)Open+21%—$0.40 / $0.80No image inputQwen3 Max Thinking (Preview)+20%——No image inputQwen3 VL 30B A3B ThinkingthinkingOpen+20%—$0.29 / $0.99Qwen3 Maxnon-thinking+18%—$1.20 / $6No image inputQwen3 Max (Preview)non-thinking+10%—$0.87 / $3.48No image inputAll Alibaba (Qwen) models →Run it yourself
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How much does Qwen3 VL 32B Instruct cost?›
$0.10 per 1M input tokens and $0.42 per 1M output tokens (cheapest host: Featherless).
Is Qwen3 VL 32B 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 32B Instruct, and what is it best at?›
#228 of 336 in Chat & Knowledge, #132 of 239 in Coding, #149 of 242 in Agents & Tool Use, #161 of 245 in Writing & Language, #85 of 125 in Vision & Documents.
Is Qwen3 VL 32B Instruct better than Hermes 4 - Llama-3.1 70B?›
On AIME 2025 · AA archived, Qwen3 VL 32B Instruct scores 68.3 vs 68.7 — about the same.
How can I use Qwen3 VL 32B Instruct?›
Through the API of Featherless.
What is the context window of Qwen3 VL 32B Instruct?›
256K tokens.
When was Qwen3 VL 32B Instruct released? Is there a newer version?›
Released 2025-10-21. It has been superseded by Qwen 3.5 27B.
Is Qwen3 VL 32B Instruct open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Qwen3 VL 32B Instruct locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
Can Qwen3 VL 32B Instruct read images?›
It accepts text and images as input.
What is Qwen3 VL 32B Instruct?›
Qwen3 VL 32B Instruct is an open-weights language model from Alibaba (Qwen), released Oct 2025.
What are the best alternatives to Qwen3 VL 32B Instruct?›
GPT OSS 120B (cheaper), GPT OSS 20B (better), Nemotron 3 Nano 30B A3B (open weights).