What grok-4.3 costs for real workloads
| Workload | Estimated cost |
|---|---|
| Support chatbot: 100K messages | $175.00 |
| RAG search: 10K queries with 6K-token context | $87.50 |
| Batch summarization: 1,000 long documents | $27.50 |
| Coding agent: 100 tasks, 50K context x 20 turns | $30.25 |
Chatbot: 800 input + 300 output tokens per message. RAG: 6,000 + 500 per query. Summarization: 20,000 + 1,000 per document. Coding agent: 20 turns per task over a 50K-token context, with 95% of input served from cache where the model supports it.
grok-4.3 vs similarly priced models
| Model | Provider | Input / 1M | Output / 1M | Cached / 1M | Blended |
|---|---|---|---|---|---|
| Gemini 3 Flash | $0.75 | $3.75 | $0.075 | $1.50 | |
| Gemini 2.0 Flash | $0.75 | $3.75 | $0.075 | $1.50 | |
| Gemini 1.5 Flash | $0.75 | $3.75 | $0.075 | $1.50 | |
| Gemini 3.8 Flash | $0.75 | $3.75 | $0.075 | $1.50 | |
| Gemini 3.6 Flash | $0.75 | $3.75 | $0.075 | $1.50 | |
| grok-4.20-0309-reasoning | xAI | $1.25 | $2.50 | $0.20 | $1.56 |
| grok-4.20-0309-non-reasoning | xAI | $1.25 | $2.50 | $0.20 | $1.56 |
| grok-4.3 | xAI | $1.25 | $2.50 | $0.20 | $1.56 |
| Qwen3.8-27B | Groq | $0.80 | $4.00 | — | $1.60 |
Other xAI models
grok-4.3 pricing FAQ
How much does the grok-4.3 API cost?
grok-4.3 costs $1.25 per million input tokens and $2.50 per million output tokens on xAI, with cached input at $0.20 per million. Prices as of November 8, 2026.
How much does grok-4.3 cost for 1,000 requests?
At 1,000 input and 500 output tokens per request, 1,000 requests cost about $2.50.
Does grok-4.3 have a prompt caching discount?
Yes. Cached input is $0.20 per million tokens, 6x cheaper than fresh input. Workloads that resend the same context, like agents and chat with long system prompts, pay mostly the cached rate.
Is grok-4.3 expensive compared to other LLM APIs?
It ranks #42 cheapest of 76 models we track on a blended price (3 input tokens per output token) of $1.56 per million tokens.
Picking a model for production?
Describe your workload and the Planner estimates monthly token spend across every model we track.