xAI · model
Grok Build 0.1
$1.00/1M in · $2.00/1M out · 256K context. That's cheaper than 41% of the 298 models we track, by output price. Here's what it costs, how its price has moved, and where it fits.
- Context
- 256K
- Input / 1M
- $1.00
- Output / 1M
- $2.00
- Modality
- text + image
- Provider
- xAI
- Tokenizer
- Grok
Snapshot · source: provider list ↗ · how we measure →
For 1,500 input + 500 output tokens across 200,000 requests/month. That's 83× the cheapest tracked option (Ling-2.6-flash, $6.00/mo).
Flat at $2.00 since tracking began 2026-06-14. Full history →
Where it fits
- Multimodal prompts — accepts image input alongside text.
Watch for
These notes are derived from price, context and modality — structural facts, not measured quality. Measured cost-to-finish-a-task lives on the real-cost index.
Related models
How to read Grok Build 0.1's pricing
Two numbers decide most of the bill: $1.00/1M for input (everything you send — prompt, context, attachments) and $2.00/1M for output (everything it generates, including hidden reasoning tokens). Output is priced 2.0× the input rate here, so the shape of your workload — how much it reads versus writes — matters as much as the headline figure. This is the provider's first-party list price, reconciled against the routed market each run.
Frequently asked questions
How much does Grok Build 0.1 cost per million tokens?
Grok Build 0.1 is priced at $1.00 per 1M input tokens and $2.00 per 1M output tokens (first-party list price) as of the 2026-06-15 snapshot. Output is the figure that usually drives the bill. Enter your own token volumes in the cost calculator for a monthly estimate.
What is Grok Build 0.1's context window?
Grok Build 0.1 has a 256K-token context window — roughly 384 pages of text. Prompt, attachments, conversation and the model's own output all share that budget, and every token you send is billed at the input rate.
Related
- API cost calculator — your monthly cost for Grok Build 0.1 and every other model.
- Model comparison — the full sortable table.
- Price history — how token prices move over time.
- LLM pricing explained — input, output, cached and reasoning tokens.