Models
Explore AI models available on the 0G network
0G.AI in-house model optimized for agentic coding and tool use; thinking enabled by default.
Zhipu AI flagship purpose-built for long-horizon tasks; 744B foundation, 200K context.
Multilingual automatic speech recognition (ASR); transcription and translation.
Asynchronous text-to-image model with Base64 output. Generates at most 2 images per request — requesting more (n > 2) returns 2 images, not an error.
671B mixture-of-experts model with hybrid thinking; strong at coding, math, and multi-step reasoning.
Lightweight MoE (284B total / 13B active) with native 1M context; low-latency, low-cost.
DeepSeek flagship for agentic coding, multi-step workflows, and complex reasoning; 1M context, up to 384K output.
Next-generation model purpose-built for coding and agent workflows; 744B foundation.
MiniMax-M3 is a frontier natively-multimodal model built on MiniMax Sparse Attention (MSA), aimed at agentic coding, tool use, and long-horizon tasks. Accepts text, image, and video input with a 1M-token context window. Thinking is toggleable per request via the `thinking` parameter (disabled by default; enable with {"type": "adaptive"}) at identical pricing. Automatic prompt caching applies to requests with 512+ input tokens and is reported via usage.prompt_tokens_details.cached_tokens. Pricing is tiered by input length (>512K input bills at 2x).
Alibaba multimodal vision-language model; strong at visual reasoning, OCR, and document understanding.
