DeepSeek-V3-0324 is now live.Try it

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    DeepSeek V3 0324

    DeepSeek-V3-0324 is an advanced language model with improved reasoning capabilities, enhanced web development support, superior Chinese writing proficiency, and refined function calling accuracy, designed to provide detailed search analysis and high-quality interactive experiences.

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    Llama 3.3 70B Instruct

    Meta's Llama 3.3 is a 70B parameter multilingual instruction-tuned language model designed for dialogue use, outperforming many open and closed-source models and incorporating safety features such as supervised fine-tuning and reinforcement learning with human feedback.

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    TEXT TO TEXT

    Prices shown are per 1 million tokens

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    DeepSeek R1 Distill Llama 70B

    Feel the power of reasoning models. This distilled model beats GPT-4o on math & matches o1-mini on coding.

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    DeepSeek V3

    DeepSeek-V3 is a 671 billion parameter Mixture-of-Experts (MoE) language model optimized for efficiency and performance, demonstrating superior results across various benchmarks through innovative strategies and extensive pre-training on high-quality data.

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    Google Gemma 3

    Gemma 3 is a versatile, lightweight, multimodal open-source model family by Google DeepMind, primed for text and image processing and text generation, supporting over 140 languages with a 128K context window, designed for easy deployment in resource-constrained environments.

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    Llama 3.1 70B Instruct visualization
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    Llama 3.1 70B Instruct

    The Meta Llama 3.1 collection consists of high-performing, multilingual large language models optimized for dialogue and capable of handling text and code across 8 languages, available in 8B, 70B, and 405B parameter sizes, with a focus on safety, inclusivity, and societal benefit.

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    Llama 3.1 8B Instruct

    Meta Llama 3.1 is a collection of advanced, multilingual large language models designed for dialogues, available in 8B, 70B, and 405B sizes, that outperform many chat models on industry benchmarks and emphasize safe, responsible use in various applications.

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    Llama 3.2 1B Instruct

    Llama 3.2 is a multilingual large language model collection from Meta, fine-tuned for dialogue and summarization tasks in multiple languages, designed for enhanced retrieval and conversational agents.

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    Llama 3.2 3B Instruct

    Llama 3.2 is a multilingual large language model collection optimized for dialogue, retrieval, and summarization tasks with enhanced performance on industry benchmarks, employing supervised fine-tuning and reinforcement learning for safety and human-aligned responses.

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    Qwen 2.5 7B Vision Instruct

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