{"zai-org/GLM-4.6":{"maxTokens":202752,"contextWindow":202752,"supportsImages":false,"supportsPromptCache":true,"inputPrice":0.45,"outputPrice":1.9,"cacheReadsPrice":0.109999998,"description":"Compared with GLM-4.5, GLM-4.6 brings several key improvements:  Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex agentic tasks. Superior coding performance: The model achieves higher scores on code benchmarks and demonstrates better real-world performance in applications such as Claude Code、Cline、Roo Code and Kilo Code, including improvements in generating visually polished front-end pages. Advanced reasoning: GLM-4.6 shows a clear improvement in reasoning performance and supports tool use during inference, leading to stronger overall capability. More capable agents: GLM-4.6 exhibits stronger performance in tool using and search-based agents, and integrates more effectively within agent frameworks. Refined writing: Better aligns with human preferences in style and readability, and performs more naturally in role-playing scenarios."},"BAAI/bge-base-en-v1.5":{"maxTokens":1639,"contextWindow":8192,"supportsImages":false,"supportsPromptCache":false},"meta-llama/Llama-3.3-70B-Instruct-Turbo":{"maxTokens":131072,"contextWindow":131072,"supportsImages":false,"supportsPromptCache":false,"inputPrice":0.13,"outputPrice":0.38,"description":"Llama 3.3-70B Turbo is a highly optimized version of the Llama 3.3-70B model, utilizing FP8 quantization to deliver significantly faster inference speeds with a minor trade-off in accuracy. The model is designed to be helpful, safe, and flexible, with a focus on responsible deployment and mitigating potential risks such as bias, toxicity, and misinformation. It achieves state-of-the-art performance on various benchmarks, including conversational tasks, language translation, and text generation."},"Qwen/Qwen-Image-Edit":{"maxTokens":1639,"contextWindow":8192,"supportsImages":false,"supportsPromptCache":false},"BAAI/bge-m3":{"maxTokens":1639,"contextWindow":8192,"supportsImages":false,"supportsPromptCache":false},"Qwen/Qwen3-VL-235B-A22B-Instruct":{"maxTokens":262144,"contextWindow":262144,"supportsImages":true,"supportsPromptCache":false,"inputPrice":0.3,"outputPrice":1.49,"description":"Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.  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"},"mistralai/Mistral-Small-3.2-24B-Instruct-2506":{"maxTokens":128000,"contextWindow":128000,"supportsImages":true,"supportsPromptCache":false,"inputPrice":0.075,"outputPrice":0.2,"description":"Mistral-Small-3.2-24B-Instruct is a drop-in upgrade over the 3.1 release, with markedly better instruction following, roughly half the infinite-generation errors, and a more robust function-calling interface—while otherwise matching or slightly improving on all previous text and vision benchmarks."},"sentence-transformers/paraphrase-MiniLM-L6-v2":{"maxTokens":1639,"contextWindow":8192,"supportsImages":false,"supportsPromptCache":false},"deepseek-ai/Janus-Pro-7B":{"maxTokens":1639,"contextWindow":8192,"supportsImages":false,"supportsPromptCache":false},"Qwen/Qwen3-235B-A22B-Thinking-2507":{"maxTokens":262144,"contextWindow":262144,"supportsImages":false,"supportsPromptCache":false,"inputPrice":0.3,"outputPrice":2.9000000000000004,"description":"Qwen3-235B-A22B-Thinking-2507 is the Qwen3's new model with scaling the thinking capability of Qwen3-235B-A22B, improving both the quality and depth of reasoning. 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This innovative model efficiently supports 109 languages and excels in recognizing complex elements (e.g., text, tables, formulas, and charts), while maintaining minimal resource consumption. Through comprehensive evaluations on widely used public benchmarks and in-house benchmarks, PaddleOCR-VL achieves SOTA performance in both page-level document parsing and element-level recognition. It significantly outperforms existing solutions, exhibits strong competitiveness against top-tier VLMs, and delivers fast inference speeds. 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