mistral-medium-3
Mistral Medium 3 is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-of-the-art reasoning and multimodal performance with 8× lower cost compared to traditional large models, making it suitable for scalable deployments across professional and industrial use cases. The model excels in domains such as coding, STEM reasoning, and enterprise adaptation. It supports hybrid, on-prem, and in-VPC deployments and is optimized for integration into custom workflows. Mistral Medium 3 offers competitive accuracy relative to larger models like Claude Sonnet 3.5/3.7, Llama 4 Maverick, and Command R+, while maintaining broad compatibility across cloud environments.
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deepseek-chat-v3-0324deepseekDeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds the [DeepSeek V3](/deepseek/deepseek-chat-v3) model and performs really well on a variety of tasks.Input:$0.25 / 1M tokensOutput:$0.85 / 1M tokensContext:163840 tokenstexttext- deepseek-r1-0528deepseekMay 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass. Fully open-source model.Input:$0.27 / 1M tokensOutput:$0.27 / 1M tokensContext:163840 tokenstexttext
gemini-2.0-flashgeminiGoogle's most capable multi-modal model with great performance across all tasks, with a 1 million token context window, and built for the era of Agents.Input:$0.1 / 1M tokensOutput:$0.4 / 1M tokensContext:1M tokenstoolstextimageaudiovideotext- deepseek-r1deepseekDeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass. Fully open-source model & [technical report](https://api-docs.deepseek.com/news/news250120). MIT licensed: Distill & commercialize freely!Input:$0.4 / 1M tokensOutput:$2 / 1M tokensContext:163840 tokenstexttext
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- deepseek-chatdeepseekDeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations reveal that the model outperforms other open-source models and rivals leading closed-source models. For model details, please visit [the DeepSeek-V3 repo](https://github.com/deepseek-ai/DeepSeek-V3) for more information, or see the [launch announcement](https://api-docs.deepseek.com/news/news1226).Input:$0.27 / 1M tokensOutput:$0.27 / 1M tokensContext:163840 tokenstexttext
Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following, logical reasoning, math, code, and tool usage. The model supports a native 262K context length and does not implement "thinking mode" (<think> blocks). Compared to its base variant, this version delivers significant gains in knowledge coverage, long-context reasoning, coding benchmarks, and alignment with open-ended tasks. It is particularly strong on multilingual understanding, math reasoning (e.g., AIME, HMMT), and alignment evaluations like Arena-Hard and WritingBench.Input:$0.12 / 1M tokensOutput:$0.12 / 1M tokensContext:262144 tokenstexttext- deepseek-chatdeepseekDeepSeek-Chat is an advanced conversational AI model designed to provide intelligentInput:$0.14 / 1M tokensOutput:$0.28 / 1M tokensContext:64K tokenstoolstexttext
claude-3.7-sonnetanthropicIntelligent model, with visible step‑by‑step reasoningInput:$3 / 1M tokensOutput:$15 / 1M tokensContext:200K tokenstoolstexttextimage- claude-sonnet-4anthropicOur high-performance model with exceptional reasoning and efficiencyInput:$3 / 1M tokensOutput:$15 / 1M tokensContext:200K tokenstoolstextimagetext