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Grok 4.7

by xAI · Released Sep 2026

Multimodal
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Context
500K tokens (~250 books)
Input $/1M
$2.00
Output $/1M
$6.00
Type
multimodal
License
Proprietary
Benchmarks
6 tested
Data as of
About

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...

Tested on 6 benchmarks. Top scores: Artificial Analysis · Long Context Reasoning (76.7%), Artificial Analysis · GDPval (59.8%), Artificial Analysis · SciCode (57.4%).

Capabilities
speed
50.2
#31 globally
Benchmark Scores
Compare All
Tested on 6 benchmarks · Ranked across 1 categories
Score Distribution (all 312 models)
0255075100
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Recently Happened
Grok 4.7 pricing increased 25%
Sep 29, 2026
Grok 4.7 added
Sep 22, 2026
Links
Documentation
Community
BenchGecko API
grok-4-7
Specifications
  • Typemultimodal
  • Context500K tokens (~250 books)
  • ReleasedSep 2026
  • LicenseProprietary
  • StatusActive
  • Cost / Message~$0.010
Available On
xAI logoxAI$2.00
Categories
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Grok 4.7 is a proprietary multimodal AI model by xAI, released in September 2026. Context window: 500K tokens.

Key facts · as of 2026-10-05

  • Grok 4.7 by xAI. Not enough public benchmark scores to rank yet.
  • List price $2.00 input · $6.00 output per 1M tokens (as of 2026-10-05).
  • Sold by 5 providers (as of 2026-10-05): xAI $2.00 in / $6.00 out · xAI $2.00 in / $6.00 out · xAI $2.20 in / $6.60 out · xAI $4.00 in / $12.00 out · xAI $4.00 in / $12.00 out. Every provider
  • Gecko Tests: Who Are You B (Knows who made it) · Tokenizer Tax C (50% more tokens outside English).

How to cite · data as of 2026-10-05

Grok 4.7 · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/grok-4-7

Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP