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    Browse models provided by Crusoe (Terms of Service)

    5 models

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    • OpenAI: gpt-oss-120bgpt-oss-120b

      gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized to run on a single H100 GPU with native MXFP4 quantization. The model supports configurable reasoning depth, full chain-of-thought access, and native tool use, including function calling, browsing, and structured output generation.

      by openai131K context$0.15/M input tokens$0.50/M output tokens
  13. DeepSeek: R1 0528R1 0528

    May 28th update to the original DeepSeek R1 Performance on par with 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.

    by deepseek164K context$0.50/M input tokens$2.18/M output tokens
  14. DeepSeek: DeepSeek V3 0324DeepSeek V3 0324

    DeepSeek 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 model and performs really well on a variety of tasks.

    by deepseek131K context$0.28/M input tokens$1.15/M output tokens
  15. Google: Gemma 3 12BGemma 3 12B

    Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities, including structured outputs and function calling. Gemma 3 12B is the second largest in the family of Gemma 3 models after Gemma 3 27B

    by google131K context$0.05/M input tokens$0.10/M output tokens
  16. Meta: Llama 3.3 70B InstructLlama 3.3 70B Instruct

    The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model is optimized for multilingual dialogue use cases and outperforms many of the available open source and closed chat models on common industry benchmarks. Supported languages: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai. Model Card

    by meta-llama131K context$0.13/M input tokens$0.40/M output tokens