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Claude Haiku 5.5 is Anthropic's fastest model in the Claude 5.x lineup, built for rapid ideation, summarization and classification. It has vision input, tool use and always-on adaptive thinking.

DeepSeek-V4-Flash is DeepSeek's open-weight fast mixture-of-experts model for high-throughput chat and coding. It accepts text and image input and returns text. It supports reasoning, tool calling and agentic use.

DeepSeek V4 Pro is DeepSeek's open-weight high-capability reasoning model. It is a text model for chat and coding with streaming and function calling.

DeepSeek V4.1 Flash is the open-weight, cost-efficient sparse mixture-of-experts tier of the V4.1 family. It has 552B total parameters with 8B active on input and 16B on output, 1M context, and native vision in with text out. This is the original September 2026 checkpoint.

Gemini 4 Argon is Google's frontier model for long-horizon software engineering, enterprise knowledge work, and cybersecurity defense. It accepts text, image, and video input.

LongCat-2.0 is Meituan's open-weight sparse mixture-of-experts language model with 1.6T total and 48B active parameters. It targets coding, repository-level changes, and agentic workflows. It supports streaming, function calling, and structured output.

Muse Spark 1.2 Contributor is the Contributor-mode tier of Meta's Muse Spark 1.2 reasoning model, for experimentation and early agentic work. Meta may use your prompts, files, and responses to train future models, so avoid confidential work.

Muse Spark 1.3 Contributor is the Contributor-mode tier of Meta's Muse Spark 1.3 reasoning model, for experimentation and early agentic work. Meta may use your prompts, files, and responses to train future models, so avoid confidential work.

MiniMax M2.5 is MiniMax's large language model for real-world productivity. It extends M2.1 coding expertise into office work such as generating Word, Excel and PowerPoint files. It scores 80.2% on SWE-Bench Verified and 76.3% on BrowseComp.

MiniMax M2.7 is MiniMax's large language model for complex software engineering, agentic tool use and office productivity workflows. It supports complex agent harnesses, dynamic tool search and Agent Teams. It takes text and supports function calling.

MiniMax M2 is a large language model for complex software engineering, agentic tool use, and office productivity workflows. Supports complex agent harnesses, dynamic tool search, Agent Teams, and high-fidelity coding and document-editing tasks.

MiniMax M3 is MiniMax's multimodal language model for coding and agentic work. It accepts text, image and video input and returns text. It supports reasoning, function calling, structured output and multilingual use.

MiniMax M3.1 Flash is MiniMax's open-weight multimodal model for complex agentic tasks, coding and cybersecurity. It accepts text, image and video input and has a 1M-token context window. It always thinks, with adjustable effort, and its weights are not yet released.

Kimi K2.5 is Moonshot AI's open-weight mixture-of-experts model with native vision, tool calling and structured outputs. It has 1T total and 32B active parameters, a 256K context window and a Modified MIT license.

Kimi K2.7 Code is Moonshot AI's open-weight coding-focused model for end-to-end programming tasks over long contexts. It is a native multimodal mixture-of-experts model with 32B active of roughly 1T total parameters and always-on thinking.

Kimi K3.1 Pro is the first model in Moonshot AI's open-weight K3.1 series, a post-trained version of Kimi K3. It has a 1M-token context window and native visual understanding, and improves on K3 in coding, 3D and CAD modeling and financial research. Thinking is always on.

Kimi K3 is Moonshot AI's open-weight multimodal reasoning model with native visual understanding. It accepts text, image and video input for long-horizon software engineering, knowledge work and CAD. Thinking is always on.

GPT-5.6 Luna is OpenAI's reasoning-focused model in the GPT-5.6 family, built for cost-sensitive workloads. It accepts text and image input. It supports streaming and function calling.

GPT-6 Luna is OpenAI's efficient GPT-6 tier for focused, high-throughput tasks. It has configurable reasoning, tool use, image input. It supports streaming and function calling.

Qwen3.5 Plus is Alibaba's mid-tier "plus" model from the Qwen3.5 generation, with a 256K context window and strong reasoning, coding, and tool use.

Qwen3.6 Plus is Alibaba's plus-tier multimodal model of the Qwen3.6 generation. It takes text and image input, has a 1 million token context window, and supports reasoning, coding and tool use.

Qwen3.7 Max is Alibaba's flagship max-tier model of the Qwen3.7 generation. It takes text and image input, has a 1 million token context window, and supports reasoning, coding and tool use.

Qwen3.7 Plus is Alibaba's advanced multimodal model with text and image input. It has a 1 million token context window and strong reasoning capabilities.

Qwen3.8 Flash is Alibaba Qwen's native vision-language model for coding, office work, long-context reasoning and agents. It has a 1M context window, takes text, image and video input, and supports thinking and function calling.

Qwen3.8 Max is Alibaba's flagship 2.4-trillion parameter MoE model of the Qwen3.8 generation. It takes text, image and video input, has a 1 million token context window, and supports reasoning, coding and tool use.

Step 5 Preview is StepFun's open-weight flagship base model for real-world tasks, with a focus on programming and professional expertise. It is multimodal, taking text, image and video in and text out, with a 1M-token context and adjustable reasoning effort.

Hy4 Preview is Tencent Hunyuan's open-weight 770B mixture-of-experts model with 49B active parameters, built for agents and coding. It targets office automation and complex tool use.

Hy4 is Tencent Hunyuan's 1M-token-context model for agents, coding and long-horizon work, the official release after Hy4 Preview. It accepts text and image input, supports tool calling and structured outputs, and has optional reasoning on by default.

Grok 4.7 is SpaceXAI's frontier model for coding, agentic tasks, and knowledge work. It succeeds Grok 4.6 with mandatory adjustable reasoning at low, medium, high, or xhigh effort, defaulting to high. It takes text and image input.

MiMo V2.5 Pro is Xiaomi's open-weight flagship model for agentic work, complex software engineering, and long-horizon tasks. It accepts text, image and video input. It completes professional tasks involving thousands of tool calls.

MiMo V2.5 is Xiaomi's open-weight native omnimodal model with Pro-level agentic performance. It accepts text, image and video input, improves on MiMo V2 Omni in multimodal perception, and suits agent frameworks.

MiMo V2.6 Flash is Xiaomi's full-modality reasoning model for high-frequency invocations and large-scale professional workloads. It keeps the 128K output limit of MiMo V2.6 Pro, with text, image and video input.

MiMo V2.6 Pro is Xiaomi's trillion-parameter, natively omni-modal flagship reasoning model. It targets complex projects, long-horizon agentic tasks, coding, research, and professional knowledge work, with up to 128K output tokens.

GLM-5.1 is Z-AI's open-weight flagship foundation model for long-horizon autonomous tasks. It has a 128K output window and scores 58.4 on SWE-Bench Pro. It supports thinking mode, function calling, and MCP integration.

GLM-5.2 is Z-AI's open-weight flagship reasoning model with a 128K output window. It supports controllable thinking effort, function calling, and MCP integration. It targets long-horizon autonomous coding and agentic tasks.

GLM-5.3 is Z.AI's open-weight reasoning model for coding and agentic workflows. It targets complex software engineering, long-running agents, and vulnerability analysis. It uses the same base model as GLM-5.2 with scaled post-training for stronger coding and token efficiency.

GLM-5 is Z-AI's open-weight general-purpose foundation model for reasoning, coding, and agentic workloads. It has a 128K context window and 32K output. It supports thinking mode, function calling, and structured outputs.