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Favicon de Chutes

Chutes

Explore los modelos ofrecidos por Chutes (Términos del servicio)

7 modelos

Tókenes procesados en OpenRouter

  • Favicon de qwen
    Qwen: Qwen3.8 27BQwen3.8 27B

    Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be enabled or disabled.

    por qwen14 ago 2026262K de contexto0,039 US$/M entrada tokens1,25 US$/M salida tokens
  • Favicon de deepseek
    DeepSeek: DeepSeek V4 Flash 0731DeepSeek V4 Flash 0731

    DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows. This is the GA release of DeepSeek V4 Flash.

    por deepseek31 jul 20261,05M de contexto0,44 US$/M entrada tokens1,32 US$/M salida tokens
  • Favicon de moonshotai
    MoonshotAI: Kimi K3Kimi K3

    Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at navigating large repositories, using tools, debugging, and iterating against images, logs, tests, and runtime feedback. Its architecture uses KDA and Attention Residuals for computational efficiency.

    por moonshotai16 jul 20261,05M de contexto1,85 US$/M entrada tokens9,50 US$/M salida tokens
  • Favicon de qwen
    Qwen: Qwen3.6 27BQwen3.6 27B

    Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities — accepting text, image, and video inputs — and supports a 262,144-token context window. The model is designed for agentic coding and reasoning tasks, with particular strength in repository-level code comprehension, front-end development workflows, and multi-step problem solving. It includes a built-in thinking mode for extended reasoning and preserves thinking context across conversation history. Qwen3.6 27B supports 201 languages and dialects and is released under the Apache 2.0 license.

    por qwen27 abr 2026262K de contexto0,25 US$/M entrada tokens2 US$/M salida tokens
  • Favicon de moonshotai
    MoonshotAI: Kimi K2.6Kimi K2.6

    Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and can convert prompts and visual inputs into production-ready interfaces. Its agent swarm architecture scales to hundreds of parallel sub-agents for autonomous task decomposition - delivering documents, websites, and spreadsheets in a single run without human oversight.

    por moonshotai20 abr 2026262K de contexto0,39 US$/M entrada tokens1,80 US$/M salida tokens
  • Favicon de z-ai
    Z.ai: GLM 5.1GLM 5.1

    GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minute-level interactions, GLM-5.1 can work independently and continuously on a single task for more than 8 hours, autonomously planning, executing, and improving itself throughout the process, ultimately delivering complete, engineering-grade results.

    por z-ai7 abr 2026203K de contexto0,90 US$/M entrada tokens2,90 US$/M salida tokens
  • Favicon de google
    Google: Gemma 4 31BGemma 4 31B

    Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function calling, and multilingual support across 140+ languages. Strong on coding, reasoning, and document understanding tasks. Apache 2.0 license.

    por google2 abr 2026262K de contexto0,12 US$/M entrada tokens0,37 US$/M salida tokens