Models / xAI/ Grok 4.7

Grok 4.7

xAI · released Sep 21, 2026

Input: text, images and documents. Output: text.InputOutput
Type
Closed
Input
$2.00
Output
$6.00
Cached
None held

List price · per 1M tokens · xAI at 500K context · machine-readable source ↗

Our take

Written Sep 30, 2026

Grok 4.7 is a hosted-only model with no download, and its measured strength is agentic work: finishing tasks, calling the right tools and building web apps. On general chat, coding and maths it sits mid-field, so pick it for what it does well rather than as an all-rounder.

Who should pick it

Choose it for agentic work where the model has to finish a task and call the right tools, for building web applications, or for prompts that need precise instruction following. It takes text, images and files, and its request capacity is large enough that long documents need not be split up first. Skip it if you need to run the model on your own hardware, or if you need top-tier general chat, coding or maths quality.

The case for it

  • 8th of 55 on Arena Agent · Task outcome and 9th of 55 on Arena Agent · Tool use via xHigh as of 25 Sep 2026, so it is a reasonable first pick when the job is finishing a task rather than answering a question.
  • 11th of 95 on Arena Code (WebDev) via xHigh as of 25 Sep 2026, which makes it worth trialling on web-app building work.
  • 9th of 58 on LiveBench Instruction Following via xHigh as of 25 Jun 2026, useful when your prompts carry strict formatting or constrained-rewriting rules.
  • Accepts text, images and files, so a screenshot or document does not have to be described in words first.

The case against it

  • Mid-field on general quality: 61st of 168 on Arena Text (overall) and 61st of 168 on Arena Coding via xHigh as of 25 Sep 2026, so do not expect it to lead on everyday chat or coding.
  • Reasoning is among its weaker measured areas, at 37th of 58 on LiveBench Reasoning via xHigh as of 25 Jun 2026.
  • We list no download for it, so using it means choosing a host and paying per request rather than running it yourself.
00

How good is it?

A text model from xAI built for calling tools to carry out requests.

Good at
  • calling tools to carry out requestsArena Agent · Tool use · 9th of 55

EverydayGeneral questions and everyday reasoning

3 of 5

Arena Text (overall)61st of 168 · 1439

Arena Hard Prompts 66th of 168Arena Maths 75th of 163LiveBench Mathematics 11th of 58LiveBench Data Analysis 22nd of 58LiveBench Reasoning 37th of 58

CodingWriting and fixing code on its own

3.5 of 5

Arena Coding61st of 168 · 1488

Arena Code (WebDev) 11th of 95LiveBench Coding 34th of 58

AgenticPlanning, calling tools, staying on task

3 of 5

Arena Agent16th of 55 · 0.038

LiveBench Agentic Coding 27th of 58

WritingDrafting and rewriting prose

3 of 5

Arena Creative Writing47th of 168 · 1427

LiveBench Language 25th of 58
How it behaves in an agent loop
Tool usereaches for the right one, and does not invent one9th of 55
Steerabilitydoes what it was asked, and changes course when told32nd of 55
Recoverygets back on track after a command fails16th of 55
Task outcomefinishes what the session set out to do8th of 55

Placings on Arena's agent boards, from live sessions people ran themselves. A model can lead on one of these and sit mid-field on the others.

Other boards it appears on
Arena Instruction Following 54th of 168LiveBench Instruction Following 9th of 58LiveBench 20th of 58Arena Agent · Task outcome 8th of 55Arena Agent · Tool use 9th of 55Arena Agent · Recovery 16th of 55Arena Agent · Steerability 32nd of 55

Boards this model appears on that none of the ratings above are built on.

Every published score for this model20 scoresEvery figure we hold, from 20 boards, with who ran it and a link to the source — including the boards no rating above is built on.
LiveBenchreasoning
77.4source ↗
53.99source ↗
77.16source ↗
76.88source ↗
75.28source ↗
80.14source ↗
95.68source ↗
82.65source ↗
0.038source ↗
0.057source ↗
−0.024source ↗
0.098source ↗
0.004source ↗
1488source ↗
1427source ↗
1457source ↗
1437source ↗
1423source ↗
1439source ↗
1629source ↗
01

Where to rent it

Prices checked between 58 min and 1 hour ago — each listing carries its own date.

Cheapest published offer

xAI, direct and through OpenRouter

The lab is also the cheapest we hold. The strip above and this offer are the same one, so nothing on this page undercuts xAI on 500K of context.

per 1M tokens
$2.00 in / $6.00 out
Context served
500K
Throughput
Not measured
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
OpenRouterOpenRouter's own listing$2.00 / $6.00checked 1 hour ago500Knot measuredUnknownUnknownUnknown
xAIDirect and through OpenRouter$2.00 / $6.00checked 58 min ago directchecked 59 min ago through OpenRouter500K500K max reply direct450K max reply through OpenRouter52 tok/sthrough OpenRouterDirectUnknownThrough OpenRouterNoDirectUnknownThrough OpenRouterYes30 daysDirectUnknownThrough OpenRouterConfirmed
xAIusThrough OpenRouter$2.20 / $6.60checked 59 min ago500K450K max reply12 tok/sNoYes30 daysConfirmed
xAIpriority tierThrough OpenRouter$4.00 / $12.00checked 59 min ago500K450K max reply45 tok/sNoYes30 daysConfirmed

Across the 4 listings we hold: 3 say they do not train on prompts (1 of them only through OpenRouter), 0 say they do and 1 does not say. 3 appear in the zero-retention registry we check (1 of them only through OpenRouter); the rest are unknown to us.

What each host's API supports

From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.

API features per host
ProviderTool callingJSON outputStrict schema
OpenRouterOpenRouter's own listing✓✓✓
xAIDirect and through OpenRouter✓✓✓
xAIusThrough OpenRouter✓✓✓
xAIpriorityThrough OpenRouter✓✓✓

Tool calling: 4 of 4 listings say yes. JSON output: 4 of 4 listings say yes. Strict schema: 4 of 4 listings say yes.

02

Models people weigh against Grok 4.7

03

When we formed this view

Recent changes

Sep 28, 2026Price changeGrok 4.7 rose across 2 xAI listings, by up to 25% at xAI through OpenRouter (all rates)
What movedGrok 4.7 moved on 2 xAI listings: xAI through OpenRouter: input +25% ($1.60 → $2.00 per 1M tokens), output +25% ($4.80 → $6.00 per 1M tokens), cache read +25% ($0.40 → $0.50 per 1M tokens); xAI (priority tier): input +25% ($3.20 → $4.00 per 1M tokens), output +25% ($9.60 → $12.00 per 1M tokens), cache read +25% ($0.80 → $1.00 per 1M tokens)
Sep 25, 2026BenchmarkScored 0.038 via xHigh on Arena Agent
What movedleaderboard
Sep 25, 2026BenchmarkScored 0.057 via xHigh on Arena Agent · Recovery
What movedleaderboard
Sep 25, 2026BenchmarkScored −0.024 via xHigh on Arena Agent · Steerability
What movedleaderboard
Sep 25, 2026BenchmarkScored 0.098 via xHigh on Arena Agent · Task outcome
What movedleaderboard
Sep 25, 2026BenchmarkScored 0.004 via xHigh on Arena Agent · Tool use
What movedleaderboard
Sep 25, 2026BenchmarkScored 1488 via xHigh on Arena Coding
What movedleaderboard
Sep 25, 2026BenchmarkScored 1427 via xHigh on Arena Creative Writing
What movedleaderboard
Sep 25, 2026BenchmarkScored 1457 via xHigh on Arena Hard Prompts
What movedleaderboard
Sep 25, 2026BenchmarkScored 1437 via xHigh on Arena Instruction Following
What movedleaderboard

Each date is the day we first saw the change, or the day the maker announced it.

What we do not know about this model yet

  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 1 of 4 listings does not say whether it trains on prompts, and 1 answers only through OpenRouter, not for its own listing.
  • We hold no batch or off-peak rate for any of its listings.
04

Licence and identifiers

What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.

Licence

We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.

Identifiers

Takes in, gives back
Text, images and documents in, text out
Catalogue slug
x-ai-grok-4-7

Machine-readable model card (omc.json) →

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