Qwen3 VL 32B (Reasoning)
Qwen3 VL 32B (Reasoning)Alternatives?
CheaperMiniMax M3.1 Flashthinking×4.7-50%$0.22Complete model response must be appended
BetterGPT-6 Lunalow+100%-62%$0.005Function calling only with none · Chat Completions+3OpenQwen3.8 27Bxhigh×3.3+82%$1.01max_tokens range · QwenCloud+4
CheaperClaude Haiku 5.5max×4.4-62%$0.21Remove sampling parameters+5
CheaperGLM 5.3 FlashmaxOpen×3.9-55%$0.28Memory (4-bit): 20 GB → 193 GB+5MiniMax M3.1 Flashthinking×4.7-50%$0.22Complete model response must be appendedClaude Haiku 5.5max×4.4-62%$0.21Remove sampling parameters+5GLM 5.3 FlashmaxOpen×3.9-55%$0.28Memory (4-bit): 20 GB → 193 GB+5GPT-5.6 Lunamax×3.9-14%$0.18
Ling 3.1 FlashOpen×3.9-14%$1.00Memory (4-bit): 20 GB → 343 GB+1GPT-6 Lunalow+100%-62%$0.005Function calling only with none · Chat Completions+3GPT-5.6 Lunalow+95%-14%$0.01
MiMo v2.5thinkingOpen×2.7-67%$0.019Memory (4-bit): 20 GB → 186 GBClaude Haiku 5.5low×2.7-62%$0.024Remove sampling parameters+5
Mercury 2high+69%-29%$0.039Context: 256K → 128K+1Qwen3.8 27BxhighOpen×3.3+82%$1.01max_tokens range · QwenCloud+4
Nemotron 3.5 Bolt 74B-A9BOpen×2.4——Memory (4-bit): 20 GB → 45 GBQwen 3.5 27BthinkingOpen×2.4+57%$0.30 / $2.40
Gemma 4 31BthinkingOpen×2.3-70%$0.10 / $0.34IK2 Horizon MoVA 36B A4BthinkingOpen×2.3+233%$1 / $4Memory (4-bit): 20 GB → 22 GB+1Qwen3.8 Max (0902)thinking×4.2—$5.41Qwen3.8 2.4T A95BthinkingOpen×4.2—$2.16Memory (4-bit): 20 GB → 1,468 GB+6Qwen3.7 Maxthinking×4—$1.15No image inputQwen3.8 FlashthinkingOpen×3.7—$0.37Memory (4-bit): 20 GB → 108 GB+6Qwen3.7 Plusthinking×3.5—$0.22Qwen3.6 Max Previewthinking×3—$1.30 / $7.80No image input+1Qwen3.5 397B A17BthinkingOpen×2.9—$0.47Memory (4-bit): 20 GB → 242 GBQwen3 Max Thinkingthinking×2.8—$1.20 / $6No image inputAll Alibaba (Qwen) models →Run it yourself
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in Chat & KnowledgeFAQ
How much does Qwen3 VL 32B (Reasoning) cost?›
$0.20 per 1M input tokens and $1.50 per 1M output tokens (cheapest host: SiliconFlow).
Is Qwen3 VL 32B (Reasoning) free to use?›
There is no free API; the cheapest paid price is $0.20 per 1M input tokens. The weights are open, so you can run it yourself.
How good is Qwen3 VL 32B (Reasoning), and what is it best at?›
#188 of 334 in Chat & Knowledge, #137 of 239 in Coding, #118 of 242 in Agents & Tool Use, #87 of 245 in Writing & Language, #88 of 124 in Vision & Documents.
Is Qwen3 VL 32B (Reasoning) better than Qwen3 Max (Preview)?›
On Humanity's Last Exam, Qwen3 VL 32B (Reasoning) scores 10.1 vs 10.1 — about the same.
How can I use Qwen3 VL 32B (Reasoning)?›
Through the API of SiliconFlow.
What is the context window of Qwen3 VL 32B (Reasoning)?›
256K tokens.
When was Qwen3 VL 32B (Reasoning) released? Is there a newer version?›
Released 2025-10-21. It has been superseded by Qwen 3.5 27B.
Is Qwen3 VL 32B (Reasoning) open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Qwen3 VL 32B (Reasoning) locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
Can Qwen3 VL 32B (Reasoning) read images?›
It accepts text and images as input.
What is Qwen3 VL 32B (Reasoning)?›
Qwen3 VL 32B (Reasoning) is an open-weights language model from Alibaba (Qwen), released Oct 2025.
What are the best alternatives to Qwen3 VL 32B (Reasoning)?›
MiniMax M3.1 Flash (cheaper), GPT-6 Luna (better), Qwen3.8 27B (open weights).