Reasoning Tools JSON Open weights

DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...

deepseek/deepseek-v4.1-flash 2026-09-10 1.04858M context $0.02/M input $1/M output
70 providers
Reasoning Tools JSON Open weights

Native multimodal GLM model for efficient coding and long-horizon agent tasks

zhipuai/glm-5.3-flash 2026-08-26 1M context $0.12/M input $0.418/M output
65 providers
Reasoning Tools JSON Open weights

Dense 27B vision-language model for coding, agent tasks, and image and video understanding

alibaba/qwen3.8-27b 2026-08-14 262.144K context $0.04/M input $1.35/M output
46 providers
Reasoning Tools JSON Open weights

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...

moonshotai/kimi-k3 2026-07-16 1.04858M context $0.239/M input $10.8/M output
82 providers
Reasoning Tools JSON Open weights

MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. It uses a native multimodal mixture-of-experts...

moonshotai/kimi-k2.7-code 2026-06-12 262.144K context $0.671/M input $3.35/M output
67 providers
Tools Open weights

Qwen vision-language model for visual reasoning, documents, and agent tasks

alibaba/qwen3.6-27b 2026-04-22 262.144K context $0.6/M input $3.6/M output
28 providers
Reasoning Tools Open weights

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...

moonshotai/kimi-k2.6 2026-04-20 262.144K context $0.65/M input $3.41/M output
69 providers
Reasoning Tools JSON Open weights

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...

google/gemma-4-31b-it 2026-04-02 262.144K context $0.2/M input $0.4/M output
37 providers