Grok 4.7 vs Grok 4.6
API price, context window and output limit for Grok 4.7 and Grok 4.6 from Kingy's checked data, and what common workloads cost on each. Every price shows when Kingy last checked it.
At a glance
Verdict: Both cost the same per token. In Kingy's tests, Grok 4.7 gave fewer wrong answers on the AI Accuracy Index (0.4% against 4.8%) with a similar share right; Grok 4.6 passed 20/20 on Kingy's coding and data tasks, Grok 4.7 19/20.
- Same standard price: $2 in / $6 out per 1M tokens.
- Same context window: 500K tokens.
- Both charge a higher rate when one request's input is over 200K tokens.
- Grok 4.7's price was read automatically from the official page by fixed rules, not reviewed by a person.
- Grok 4.6's price was read automatically from the official page by fixed rules, not reviewed by a person.
| Measure | Grok 4.7 | Grok 4.6 |
|---|---|---|
| Provider | xAI | xAI |
| API price | $2 in / $6 outStandard, under 200K prompt tokensCached input $0.5$4 in / $12 outStandard, 200K prompt tokens or more (whole request billed at this rate)per 1M tokens, USD | $2 in / $6 outStandard, under 200K prompt tokensCached input $0.5$4 in / $12 outStandard, 200K prompt tokens or more (whole request billed at this rate)per 1M tokens, USD |
| Context window | 500K tokens | 500K tokens |
| Max output | Not listed | Not listed |
| Availability | — | — |
| Retirement | None listed in Kingy AI Deadlines | None listed in Kingy AI Deadlines |
| Price check | Read automatically, not human-reviewedChecked Nov 12, 23:23 UTC | Read automatically, not human-reviewedChecked Nov 12, 23:23 UTC |
| Official sources | docs.x.ai › models | docs.x.ai › models |
Larger is not always better: a bigger context window or output limit only matters if your work needs it. These figures compare price and limits, not answer quality.
What common workloads cost
At 10,000 requests a month, standard list rates. Change the numbers in the tool below for your own usage.
| Measure | Grok 4.7 | Grok 4.6 |
|---|---|---|
| Chat reply2,000 in / 500 out | $70.00 a month$0.007 per request | $70.00 a month$0.007 per request |
| Coding agent step30,000 in / 2,000 out | $720 a month$0.07 per request | $720 a month$0.07 per request |
| Long document summary150,000 in / 1,500 out | $3,090 a month$0.31 per request | $3,090 a month$0.31 per request |
| Classify short text300 in / 20 out | $7.20 a month$0.00072 per request | $7.20 a month$0.00072 per request |
Excludes prompt-cache discounts, batch and priority pricing, regional rates, tool fees and tax. Reasoning tokens count as output, so a model that thinks longer costs more per request than these figures show.
What Kingy measured
Kingy's own runs, not vendor claims. These are small tests: read each one for its tasks and limits before generalising. All results are also on the AI Model Board.
| Test | Grok 4.7 | Grok 4.6 |
|---|---|---|
| AI Accuracy Index: 125 official figures from memory, 2 asks each | Right 19%, wrong 0.4%, not sure 78%2026-11-10 · read the test | Right 22%, wrong 4.8%, not sure 74%2026-11-12 · read the test |
| Kingy's four coding and data tasks, 5 tries each | 19/20 passed · Kingy's bill $0.135722026-11-12 · read the test | 20/20 passed · Kingy's bill $0.087602026-11-12 · read the test |
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What would it cost you?
Standard list rates only. Excludes prompt-cache discounts, batch and priority pricing, regional rates, tool fees and tax. Reasoning tokens count as output. A long-context rate applies when one request's input passes the model's threshold.
Prices of other AI models
See the checked prices of all the main AI models in one table, or pick any two models in the tool above.
How this works
Prices come from the same checked data behind Kingy's AI cost calculator and the Kingy Facts API. OpenAI, Anthropic and Google prices are reviewed by a person and re-checked against the official pricing page every few hours. Prices for other providers are read automatically from their official pricing pages by fixed rules, and the table says so.
"Not confirmed right now" means Kingy could not confirm the price within its check window, so it shows no number. Use the official link instead. Retirement dates come from Kingy AI Deadlines. Every source re-check is logged in the public accuracy ledger.
Why isn't my model listed?
Only models with a tracked official price page are listed. Embedding, rerank and moderation models are left out because they have no output price to compare.
Does this show benchmarks?
It shows Kingy's own tests when a model has been through them: the AI Accuracy Index and Kingy's coding and data tasks. These are small tests, so read each one for its tasks and limits before generalising. Vendor benchmarks are left out, because results depend on the test and settings used; Kingy's full comparisons cover them when one exists for your pair.
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