Grok 4.3 is xAI's chat model behind an OpenAI-compatible call, taking text and image parts in one message array. It reads 1,000,000 tokens, replies up to 900,000, and offers five reasoning-effort levels including none.
Workbench
These examples were written for this endpoint. Replace the prompt and sample media URLs with your own accessible inputs, then check the current quote and model availability before submitting.
- Input types
- Text
- Output types
- Text
- Input
- $1.25 / 1 million tokens
- Cached input
- $0.20 / 1 million tokens
- Output
- $2.50 / 1 million tokens
- Context
- 1M
- Max output
- 900K
$1.25/2.50per 1 million tokens · input / output
evaluation-plan A text-only request that raises reasoning_effort to high, above this model's default of low, because the plan has to be worked out rather than looked up.
- 3000
- 0.3
- high
- Input types
- Text
- Output types
- Text
- Input
- $1.25 / 1 million tokens
- Cached input
- $0.20 / 1 million tokens
- Output
- $2.50 / 1 million tokens
- Context
- 1M
- Max output
- 900K
$1.25/2.50per 1 million tokens · input / output
screenshot-triage Two image_url parts at detail high beside the question, in one user turn, with effort left at the default low.
- 2000
- 0.2
This example starts at Input $1.25 / Output $2.50 per 1 million tokens. The Playground updates the estimate when you change the settings.
