https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct - SWE-Bench Verified
SWE-Bench Verified resolved rate 69.6
View sourceQwen
Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.
Running this yourself: likely needs a high-memory cloud gpu.
35.1
Quality Score
1121
Arena ELO
72B
Parameters
131K
Context
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Feb 2025
Released
Benchmarks
1
Open Source
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Recent launch, pricing, benchmark, and API signals linked to this model or its provider.
SWE-Bench Verified resolved rate 69.6
View sourceQwen2.5 VL 72B Instruct is now available through local Ollama runtime. 32K context window listed. Qwen2.5 models are pretrained on Alibaba's latest large-scale dataset, encompassing up to 18 trillion tokens. The model supports up to 128K tokens and has multilingual support.
Qwen2.5 VL 72B Instruct is now available through local Ollama runtime. 32K context window listed. Qwen2.5 models are pretrained on Alibaba's latest large-scale dataset, encompassing up to 18 trillion tokens. The model supports up to 128K tokens and has multilingual support.
SWE-Bench Verified resolved rate 69.6