Inference and training platform for open-source AI models, frequently used for fast and cost-efficient hosted endpoints.
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DeepSeek's cost-efficient V4.1 tier and the first model built on the Causal Encoder-Decoder (CED) architecture: a 552B MoE activating 8B parameters on input and 16B on output.
Z.ai's efficient multimodal model for fast coding and long-horizon agent tasks.
Z.ai's large-scale reasoning flagship for complex software engineering and long-horizon agent tasks.
The open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total.
The GA release of DeepSeek's open 1.6T-parameter MoE flagship for advanced reasoning and long-horizon agents.
Meta's open-weight 30B multimodal model, distilled from Muse Spark for autonomous agents on consumer hardware.
The GA release of DeepSeek's efficiency-optimized V4 Flash, re-post-trained for coding, reasoning, and agent workflows.
Thinking Machines Lab's open-weight multimodal model with 41B active parameters out of 975B total.
MoonshotAI's 2.8T-parameter flagship for complex coding, knowledge work, and long-horizon agent runs.
Z.ai's frontier reasoning model for long-context agents and software engineering.
MiniMax's multimodal foundation model for long-horizon agentic work.
Compact 9B vision-language model from the Qwen3.5 family.
OpenAI's budget-friendly reasoning model — fast and surprisingly capable.
Meta's efficient 70B model matching Llama 3.1 405B on key benchmarks.
