Qwen: Qwen2.5-VL 7B Instruct
Qwen2.5 VL 7B is a multimodal LLM from the Qwen Team with the following key enhancements:
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SoTA understanding of images of various resolution & ratio: Qwen2.5-VL achieves state-of-the-art performance on visual understanding benchmarks, including MathVista, DocVQA, RealWorldQA, MTVQA, etc.
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Understanding videos of 20min+: Qwen2.5-VL can understand videos over 20 minutes for high-quality video-based question answering, dialog, content creation, etc.
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Agent that can operate your mobiles, robots, etc.: with the abilities of complex reasoning and decision making, Qwen2.5-VL can be integrated with devices like mobile phones, robots, etc., for automatic operation based on visual environment and text instructions.
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Multilingual Support: to serve global users, besides English and Chinese, Qwen2.5-VL now supports the understanding of texts in different languages inside images, including most European languages, Japanese, Korean, Arabic, Vietnamese, etc.
For more details, see this blog post and GitHub repo.
Usage of this model is subject to Tongyi Qianwen LICENSE AGREEMENT.
32,768 Token Context
Process and analyze large documents and conversations.
Advanced Coding
Improved capabilities in front-end development and full-stack updates.
Agentic Workflows
Autonomously navigate multi-step processes with improved reliability.
Vision Capabilities
Process and understand images alongside text inputs.
Available On
Provider | Model ID | Context | Max Output | Input Cost | Output Cost | Throughput | Latency |
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Hyperbolic | hyperbolic | 33K | - | $0.20/M | $0.20/M | 61.8 t/s | 715 ms |
inference.net | inferenceNet | 128K | 8K | $0.20/M | $0.20/M | 51.5 t/s | 2217 ms |
kluster.ai | klusterAi | 33K | 33K | $0.30/M | $0.30/M | 22.7 t/s | 3406 ms |
per 1K tokens
per 1K tokens
per image