Context
262K tokens (~131 books)
Input $/1M
$0.15
Output $/1M
$0.60
Type
multimodal
License
Open Source
Benchmarks
0 tested
Data as of
About
Qwen3-VL-30B-A3B-Instruct is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Instruct variant optimizes instruction-following for general multimodal tasks. It excels in perception...
No benchmark data available yet.
Recently Happened
Qwen3 VL 30B A3B Instruct pricing increased 15%
Sep 25, 2026
Qwen3 VL 30B A3B Instruct pricing dropped 35%
Sep 20, 2026
Qwen3 VL 30B A3B Instruct pricing dropped 13%
Sep 17, 2026
Qwen3 VL 30B A3B Instruct pricing increased 15%
Aug 29, 2026
Qwen3 VL 30B A3B Instruct pricing dropped 13%
Aug 14, 2026
Links
Research
Documentation
Community
Source Code
BenchGecko API
qwen3-vl-30b-a3b-instruct
Specifications
- Typemultimodal
- Context262K tokens (~131 books)
- ReleasedOct 2025
- LicenseOpen Source
- StatusActive
- Cost / Message~$0.001
Available On
Share & Export
Frequently Asked Questions
Qwen3 VL 30B A3B Instruct is an open-source multimodal AI model by Alibaba Qwen, released in October 2025. Context window: 262K tokens.
Related Models
Qwen3 Coder Next FP8 · AlibabaQwen2.5 Coder 32B Instruct AWQ · AlibabaSpeaker Diarization Community 1 · PyannoteGemma 3 12B (free) · Google DeepMindQwen3 Next 80B A3B Instruct (free) · Alibaba QwenBenchmarks
Key facts · as of 2026-10-05
- Qwen3 VL 30B A3B Instruct by Alibaba Qwen. Not enough public benchmark scores to rank yet.
- List price $0.15 input · $0.60 output per 1M tokens (as of 2026-10-05).
- Sold by 4 providers (as of 2026-10-05): Alibaba $0.13 in / $0.52 out · DeepInfra (fp8) $0.15 in / $0.60 out · Novita (bf16) $0.20 in / $0.70 out · SiliconFlow (fp8) $0.29 in / $1.00 out. Every provider
How to cite · data as of 2026-10-05
Qwen3 VL 30B A3B Instruct · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/qwen3-vl-30b-a3b-instruct
Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP