Qwen3 VL 8B (Reasoning)
Qwen3 VL 8B (Reasoning)Rankingin thinking mode?
Alternatives?
CheaperMiMo v2.6 ProthinkingOpen×5.7-17%$0.13Memory (4-bit): 4.4 GB → 615 GB+4
BetterGPT-6 Lunalow×2.6-70%$0.005Function calling only with none · Chat Completions+3IOpenK2 Horizon 7Bthinking×2.5-20%$0.30 / $1.20Memory (4-bit): 4.4 GB → 4.5 GB+1
CheaperDeepSeek V4.1 Flash 1017maxOpen×5.5-20%$0.26Memory (4-bit): 4.4 GB → 458 GB+5
CheaperClaude Haiku 5.5max×5.3-70%$0.21Remove sampling parameters+5MiMo v2.6 ProthinkingOpen×5.7-17%$0.13Memory (4-bit): 4.4 GB → 615 GB+4DeepSeek V4.1 Flash 1017maxOpen×5.5-20%$0.26Memory (4-bit): 4.4 GB → 458 GB+5Claude Haiku 5.5max×5.3-70%$0.21Remove sampling parameters+5
MiniMax M3.1 Flashthinking×5.2-60%$0.22Complete model response must be appended
GLM 5.3 FlashmaxOpen×5.1-64%$0.28Memory (4-bit): 4.4 GB → 193 GB+5GPT-6 Lunalow×2.6-70%$0.005Function calling only with none · Chat Completions+3GPT-5.6 Lunalow×2.6-32%$0.01
Mistral Small 4thinkingOpen+38%-60%$0.015Memory (4-bit): 4.4 GB → 72 GBMiMo v2.5thinkingOpen×2.7-73%$0.019Memory (4-bit): 4.4 GB → 186 GB
Granite 4.2 8BthinkingOpen+36%-84%$0.024Context: 256K → 128K+1
Gemma 4 12BthinkingOpen+74%-77%$0.10 / $0.30Memory (4-bit): 4.4 GB → 6 GBSApriel v1.5 15B ThinkerOpen+69%——Context: 256K → 128K+1SApriel v1.6 15B ThinkerOpen+64%——Context: 256K → 128K+1Qwen3.8 Max (0902)thinking×5.6—$5.41Qwen3.8 2.4T A95BthinkingOpen×4.9—$2.16Memory (4-bit): 4.4 GB → 1,468 GB+6Qwen3.8 FlashthinkingOpen×4.9—$0.37Memory (4-bit): 4.4 GB → 108 GB+6Qwen3.7 Maxthinking×3.6—$1.15No image inputQwen3.6 Max Previewthinking×3.5—$1.30 / $7.80No image input+1Qwen3.8 27BmediumOpen×3.4—$1.13Memory (4-bit): 4.4 GB → 17 GB+5Qwen3.6 Plusthinking×3.3—$0.50 / $3Qwen3.7 Plusthinking×3.1—$0.22All Alibaba (Qwen) models →Run it yourself
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all categoriesFAQ
How much does Qwen3 VL 8B (Reasoning) cost?›
$0.18 per 1M input tokens and $2.09 per 1M output tokens (cheapest host: DeepInfra).
Is Qwen3 VL 8B (Reasoning) 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 (Reasoning), and what is it best at?›
#311 of 334 in Chat & Knowledge, #171 of 239 in Coding, #180 of 242 in Agents & Tool Use, #157 of 245 in Writing & Language, #102 of 124 in Vision & Documents.
Is Qwen3 VL 8B (Reasoning) better than EXAONE 4.0 32B?›
On AA Intelligence Index 4.3.2, Qwen3 VL 8B (Reasoning) scores 8.2 vs 8.2 — about the same.
How can I use Qwen3 VL 8B (Reasoning)?›
Through the API of DeepInfra.
What is the context window of Qwen3 VL 8B (Reasoning)?›
256K tokens.
When was Qwen3 VL 8B (Reasoning) released? Is there a newer version?›
Released 2025-10-14. It has been superseded by Qwen 3.5 9B.
Is Qwen3 VL 8B (Reasoning) open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Qwen3 VL 8B (Reasoning) locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
Can Qwen3 VL 8B (Reasoning) read images?›
It accepts text and images as input.
What is Qwen3 VL 8B (Reasoning)?›
Qwen3 VL 8B (Reasoning) is an open-weights language model from Alibaba (Qwen), released Oct 2025.
What are the best alternatives to Qwen3 VL 8B (Reasoning)?›
MiMo v2.6 Pro (cheaper), GPT-6 Luna (better), K2 Horizon 7B (open weights).