grok-4.20-0309-non-reasoning
grok-4.20-0309-non-reasoning by xAI: $1.25 input and $2.50 output per 1M tokens, 1M context. Call it through the odnoga LLM gateway.
grok-4.20-0309-non-reasoning is served by xAI and called through odnoga with the same OpenAI-compatible request shape as every other model in the catalog. It accepts images alongside text. It supports tool and function calling. Its 1M-token context window sets how much input you can send in one request. Cached input is billed at $0.2 per 1M tokens, so repeated prefixes cost less.
Specification and price
| Vendor | xAI |
|---|---|
| Model ID | grok-4.20-0309-non-reasoning |
| Context window | 1M tokens |
| Max output | — |
| Capabilities | Vision, Tools, Streaming |
| Per 1M tokens | Vendor cost | Your price on Free+7% |
|---|---|---|
| Input | $1.25 | $1.34 |
| Output | $2.50 | $2.69 |
| Cached input | $0.2 | $0.215 |
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-4.20-0309-non-reasoning",
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-4.20-0309-non-reasoning
Derived from the odnoga catalog record for this model.
Best for
- High-volume, latency-sensitive calls: classification, extraction, routing, short rewrites and summaries.
- Work that mixes images with text — screenshots, scanned documents, charts, product photos.
- Agents and workflows that call your own functions, because the model supports tool calling.
- Long inputs: a 1M-token window fits whole contracts, codebases or transcripts in one request.
- User-facing chat where partial output should appear while the model is still writing.
Not the right pick when
- Pipelines that require guaranteed JSON — parse defensively or pick a model with enforced JSON.
- Anything where a wrong answer is costly without a human check — no model in the catalog removes that requirement.
Practical tips through odnoga
- 01Pin the model id in a managed prompt version, so a model swap is a version change you can compare and roll back, not an edit in application code.
- 02Compare it against 2–8 other models on the same frozen test cases in the evaluation laboratory before you make it the production default.
- 03Keep the stable part of your prompt at the front: cached input is billed at $0.2 per 1M tokens instead of $1.25.
- 04For repeated identical deterministic calls, odnoga answer reuse returns the stored answer and bills no vendor tokens — turn it off for creative output.
- 05Set a fallback model on the route so a vendor incident degrades quality instead of returning an error, and a per-tenant budget so one caller cannot spend the month.
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) | $13.44 |
|---|---|
| Output (2M tokens) | $5.38 |
| Your cost per month on Free | $18.82 |
Vendor list cost $17.50 + odnoga margin $1.32 (+7%). Cached input or answer reuse lowers it; odnoga records both numbers per request.
grok-4.20-0309-non-reasoning compared
| Model | Context | Input / 1M | Output / 1M | Capabilities |
|---|---|---|---|---|
| grok-4.20-0309-non-reasoning | 1M | $1.25 | $2.50 | 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
- How much does grok-4.20-0309-non-reasoning cost per 1M tokens?
- xAI lists $1.25 / $2.50 per 1M input / output tokens in the odnoga catalog. Through odnoga you pay that vendor price plus your plan margin, and every request is recorded with both numbers.
- What is grok-4.20-0309-non-reasoning best for?
- High-volume, latency-sensitive calls: classification, extraction, routing, short rewrites and summaries. Work that mixes images with text — screenshots, scanned documents, charts, product photos. Agents and workflows that call your own functions, because the model supports tool calling.
- Can I switch to grok-4.20-0309-non-reasoning without changing my code?
- Yes. odnoga exposes one OpenAI-compatible endpoint, so switching means sending "grok-4.20-0309-non-reasoning" as the model id — or changing it in the managed prompt version, with no application deploy.
- How large is the grok-4.20-0309-non-reasoning context window?
- 1M tokens of input.
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