Qwen3 VL 8B Instruct
Qwen3 VL 8B InstructAlternatives?
CheaperMiniMax M3.1 Flashthinking×17.8-15%$0.22Complete model response must be appended
BetterGPT-6 Lunalow×7.5-35%$0.005Function calling only with none · Chat Completions+3IOpenK2 Horizon 7Bthinking×6.8+71%$0.30 / $1.20Memory (4-bit): 4.4 GB → 4.5 GB+1
CheaperClaude Haiku 5.5max×16.5-35%$0.21Remove sampling parameters+5
CheaperGLM 5.3 FlashmaxOpen×14.8-23%$0.28Memory (4-bit): 4.4 GB → 193 GB+5MiniMax M3.1 Flashthinking×17.8-15%$0.22Complete model response must be appendedClaude Haiku 5.5max×16.5-35%$0.21Remove sampling parameters+5GLM 5.3 FlashmaxOpen×14.8-23%$0.28Memory (4-bit): 4.4 GB → 193 GB+5GPT-6 Lunamax×14.3-35%$0.068Function calling only with none · Chat Completions+3Qwen3.8 FlashthinkingOpen×14.2-25%$0.37Memory (4-bit): 4.4 GB → 108 GB+6GPT-6 Lunalow×7.5-35%$0.005Function calling only with none · Chat Completions+3
Granite 4.2 3BthinkingOpen×2.5-83%$0.006Context: 256K → 128K+1
Ministral 3 3B 2512Open×2-67%$0.008Context: 256K → 131KGPT-5.6 Lunalow×7.4+46%$0.01GPT OSS 20BhighOpen×4.1-88%$0.011Context: 256K → 131K+2
Gemma 4 12BthinkingOpen×5.8-51%$0.10 / $0.30Memory (4-bit): 4.4 GB → 6 GBQwen 3.5 9BthinkingOpen×5.6-70%$0.21Memory (4-bit): 4.4 GB → 4.8 GBIK2 Horizon 3.7BthinkingOpen×5.2+71%$0.30 / $1.20No image inputSApriel v1.5 15B ThinkerOpen×4.5——Context: 256K → 128K+1Qwen3.8 Max (0902)thinking×16—$5.41Qwen3.8 2.4T A95BthinkingOpen×15.8—$2.16Memory (4-bit): 4.4 GB → 1,468 GB+6Qwen3.7 Maxthinking×15.1—$1.15No image inputQwen3.8 FlashthinkingOpen×14.2—$0.37Memory (4-bit): 4.4 GB → 108 GB+6Qwen3.7 Plusthinking×13.3—$0.22Qwen3.6 Max Previewthinking×11.5—$1.30 / $7.80No image input+1Qwen3.5 397B A17BthinkingOpen×10.8—$0.47Memory (4-bit): 4.4 GB → 242 GBQwen3 Max Thinkingthinking×10.4—$1.20 / $6No image inputAll Alibaba (Qwen) models →Run it yourself
estimateBenchmarks
in Chat & KnowledgeFAQ
How much does Qwen3 VL 8B Instruct cost?›
$0.18 per 1M input tokens and $0.69 per 1M output tokens (cheapest host: DeepInfra).
Is Qwen3 VL 8B Instruct free to use?›
There is no free API; the cheapest paid price is $0.18 per 1M input tokens. The weights are open, so you can run it yourself.
How good is Qwen3 VL 8B Instruct, and what is it best at?›
#330 of 334 in Chat & Knowledge, #181 of 239 in Coding, #149 of 242 in Agents & Tool Use, #201 of 245 in Writing & Language, #113 of 124 in Vision & Documents.
Is Qwen3 VL 8B Instruct better than DeepSeek V3?›
On Humanity's Last Exam, Qwen3 VL 8B Instruct scores 2.7 vs 2.9 — about the same.
How can I use Qwen3 VL 8B Instruct?›
Through the API of DeepInfra, Featherless, Parasail.
What is the context window of Qwen3 VL 8B Instruct?›
256K tokens, with up to 236K output tokens.
When was Qwen3 VL 8B Instruct released? Is there a newer version?›
Released 2025-10-14. It has been superseded by Qwen 3.5 9B.
Is Qwen3 VL 8B Instruct open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Qwen3 VL 8B Instruct locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
Can Qwen3 VL 8B Instruct read images?›
It accepts text and images as input.
What is Qwen3 VL 8B Instruct?›
Qwen3 VL 8B Instruct is an open-weights language model from Alibaba (Qwen), released Oct 2025.
What are the best alternatives to Qwen3 VL 8B Instruct?›
MiniMax M3.1 Flash (cheaper), GPT-6 Luna (better), K2 Horizon 7B (open weights).