grok-4.6
grok-4.6 by xAI: $2 input and $6 output per 1M tokens, 500K context. Call it through the odnoga LLM gateway.
grok-4.6 is served by xAI and called through odnoga with the same OpenAI-compatible request shape as every other model in the catalog. It is a reasoning model, so it spends extra output tokens working through a problem before answering — budget for higher output cost on hard tasks. It accepts images alongside text. It supports tool and function calling. Its 500K-token context window sets how much input you can send in one request. Cached input is billed at $0.5 per 1M tokens, so repeated prefixes cost less.
Specification and price
| Vendor | xAI |
|---|---|
| Model ID | grok-4.6 |
| Context window | 500K tokens |
| Max output | — |
| Capabilities | Reasoning, Vision, Tools, Streaming |
| Per 1M tokens | Vendor cost | Your price on Free+7% |
|---|---|---|
| Input | $2 | $2.15 |
| Output | $6 | $6.45 |
| Cached input | $0.5 | $0.538 |
Vendor cost is the list price per million tokens as recorded in the odnoga catalog; your price applies your plan margin with the same formula that bills every request — see pricing. Pricing
Call it through odnoga
const res = await fetch("https://api.odnoga.com/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.ODNOGA_API_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "grok-4.6",
messages: [{ role: "user", content: "Hello" }],
}),
});
Same request shape for every vendor in the catalog — swap the model id and odnoga handles keys, routing, limits and cost accounting.
How to use grok-4.6
Reviewed 2026-09-14
Best for
- Coding, agentic tasks and knowledge work — the three uses xAI states for this frontier model.
- Long inputs: a 500,000-token context window with text and image input.
- Tool-driven workflows: function calling and structured outputs are both supported.
- Research-style questions where you also want live search, billed per item returned.
Not the right pick when
- Prompts just over 200,000 tokens by accident: xAI doubles the per-token price above that threshold, so a slightly oversized prompt costs twice as much.
- Very high-volume trivial calls — a mini tier is cheaper.
- Workloads with strict EU data residency requirements unless you have confirmed the routing you need.
Practical tips through odnoga
- 01Watch the 200,000-token pricing threshold: trim or retrieve instead of pasting, and let the odnoga ledger show which requests crossed it.
- 02Cached input is billed at a quarter of the input price — keep the stable prefix first.
- 03Live search bills per item returned, so cap the number of results in the request.
- 04Freeze a real production request with odnoga capture and compare Grok 4.6 against your current model on it; frontier claims are worth checking on your own data.
What a month costs
1,000 calls a month, 10,000 input tokens and 2,000 output tokens each, at your Free price (vendor cost +7%):
| Input (10M tokens) | $21.51 |
|---|---|
| Output (2M tokens) | $12.90 |
| Your cost per month on Free | $34.41 |
Vendor list cost $32.00 + odnoga margin $2.41 (+7%). Cached input or answer reuse lowers it; odnoga records both numbers per request.
grok-4.6 compared
| Model | Context | Input / 1M | Output / 1M | Capabilities |
|---|---|---|---|---|
| grok-4.6 | 500K | $2 | $6 | Reasoning, Vision, Tools, Streaming |
| Grok 3 | 131K | $3 | $15 | Vision, Tools, JSON mode, Streaming |
| Grok 3 Mini | 131K | $0.3 | $0.5 | Reasoning, Tools, JSON mode, Streaming |
Questions
- What is Grok 4.6 built for?
- xAI describes it as its frontier model for coding, agentic tasks and knowledge work, with a 500,000-token context window, text and image input, function calling, structured outputs and reasoning.
- Why did my bill jump on one long request?
- xAI prices prompts of 200,000 tokens or more at roughly double the rate. odnoga records prompt size and the applied rate per request, so you can see exactly which calls crossed the line.
- How is live search charged?
- Per item returned rather than per call. Limit the result count in the request, and check the tool-cost column in the odnoga ledger.
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