grok-4.7xAI
- api
- chat
- hosting
- US
- model lab
- xAI
- weights
- closed
- added
- September 2026
- model id
- xai/grok-4.7
capabilities 6/8
- input
- $2.00
- output
- $6.00
- cache write
- $2.00
- cache read
- $0.50
worked cost
| volume | cost |
|---|---|
| 100K in + 10K out | $0.26 |
| 1M in + 100K out | $2.60 |
| 10M in + 1M out | $26.00 |
Requesty charges what the upstream provider charges, with no markup and no per-request fee. Prompt caching and smart routing cut the effective cost further on repeated context. Gateway pricing
no measured traffic for this endpoint yet. pricing above is the provider's own
| eval | Score as a share of 100 | /100 |
|---|---|---|
| SciCode | 57.8 | |
| Humanity's Last Exam | 42.3 | |
| Intelligence Index | 35.0 | |
| 3 evals | mean | 45.0 |
Scores from Artificial Analysis and public leaderboards, normalised to 100. Bar colour is the band, not the rank: green 80 and up, blue 55 and up, amber 30 and up. Benchmarks measure narrow skills, so test on your own workload before committing. Released 2026-09-21.
- retention
- none
- trains on prompts
- no
- hosted in
- US
Terms are the provider's, not Requesty's: routing a request here puts it under them. xAI Privacy Policy
Need every request to stay in one jurisdiction? EU hosting routes only through EU-hosted providers.
xai/grok-4.7this id pins the xai deployment, with no routing and no failover. the managed id on the canonical page routes across all 1 providers instead
from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1",) response = client.chat.completions.create( model="xai/grok-4.7", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ],) print(response.choices[0].message.content)
Change the base url to https://router.requesty.ai/v1, use your Requesty key, set the model to the id above. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog. Browse all models
Grok 4.7 is SpaceXAI's flagship model for coding, agentic tasks, and knowledge work, succeeding Grok 4.6. It is particularly strong at long-running software engineering tasks, verifying its own work, and managing long context, and it improves on its predecessor at professional knowledge work such as drafting documents and presentations. The model was trained with a longer reinforcement learning run weighted toward problems that take many hours to complete, and natively understands the Grok Bot harness for conversational tasks. It ships with a new safeguard stack that pairs strong jailbreak resistance with low refusal rates for legitimate cybersecurity and biology work. SpaceXAI's reported benchmark results use the xhigh reasoning effort.
questions 6
How much does grok-4.7 cost?
What is the context window of grok-4.7?
How does grok-4.7 perform on benchmarks?
What can grok-4.7 do?
How do I use grok-4.7 with the OpenAI SDK?
Can I run grok-4.7 through Requesty?
more from xai 8
| endpoint | ctx | in /M |
|---|---|---|
| grok-4.6 | 500K | $2.00 |
| grok-4.5 | 500K | $2.00 |
| grok-build-0.1 | 256K | $1.00 |
| grok-4.3 | 1M | $1.25 |
| grok-4.2-beta | 2M | $2.00 |
| grok-4-1-fast-non-reasoning | 2M | $0.20 |
| grok-4-1-fast-reasoning | 2M | $0.20 |
| grok-4-fast | 2M | $0.20 |
call grok-4.7 through one endpoint
One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover when a provider degrades, and prompt caching built in. Methodology