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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.
Open-weight dense 27B vision-language model from Qwen for long-running agent tasks.
Efficient Mixture-of-Experts Gemma 4 with only 4B active parameters per token.
Google's fourth-generation open dense model with native multimodal understanding.
OpenAI's budget-friendly reasoning model — fast and surprisingly capable.
OpenAI's compact open-weights model for efficient inference.
12B model from Mistral and NVIDIA — efficient and multilingual.