xAI: Grok 4.5

Input $2/1MOutput $6/1M

Grok 4.5 is SpaceXAI's smartest model with frontier performance on coding, knowledge work, and STEM.

by x-ai·500K context·1 provider

xAI: Grok Build 0.1

Input $1/1MOutput $2/1M

Grok Build 0.1 is xAI’s fast coding model trained specifically for agentic software engineering workflows. It supports text and image inputs with text output, and is optimized for interactive coding agents, tool use, and multi-step development tasks. The model powers xAI’s Grok Build CLI and features a 256K context window with no text output limit, making it well suited for long-horizon coding and automation workflows. Currently in early access.

by x-ai·256K context·1 provider

xAI: Grok 4.3

Input $1.25/1MOutput $2.5/1M

Grok 4.3 is a reasoning model from xAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual accuracy. Reasoning can be configured between none/low/medium/high (default low) effort levels. It supports a 1 million token context window with no output token limit, making it well-suited for long-document analysis, deep research, and multi-step agentic tasks. Pricing is tiered: requests exceeding 200k total tokens are billed at a higher rate.

by x-ai·1M context·1 provider

xAI: Grok 4.20 Multi-Agent

Input $1.25/1MOutput $2.5/1M

Grok 4.20 Multi-Agent is a variant of xAI’s Grok 4.20 designed for collaborative, agent-based workflows. Multiple agents operate in parallel to conduct deep research, coordinate tool use, and synthesize information across complex tasks. Reasoning effort behavior: - low / medium: 4 agents - high / xhigh: 16 agents

by x-ai·2M context·1 provider

xAI: Grok 4.20

Input $1.25/1MOutput $2.5/1M

Grok 4.20 is a reasoning model from xAI with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherance, delivering consistently precise and truthful responses. Reasoning can be enabled/disabled using the `reasoning` `enabled` parameter in the API. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#controlling-reasoning-tokens)

by x-ai·2M context·1 provider