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Grok Code Fast 1

by xAI · Released Aug 2025

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Context
256K tokens (~128 books)
Input $/1M
$0.20
Output $/1M
$1.50
Type
text
License
Proprietary
Benchmarks
3 tested
Data as of
About

Grok Code Fast 1 is a speedy and economical reasoning model that excels at agentic coding. With reasoning traces visible in the response, developers can steer Grok Code for high-quality...

Tested on 3 benchmarks. Top scores: Artificial Analysis — Agentic Index (35.6%), Artificial Analysis — Quality Index (28.7%), Artificial Analysis — Coding Index (23.7%).

Capabilities
speed
29.4
#89 globally
Benchmark Scores
Compare All
Tested on 3 benchmarks · Ranked across 1 categories
Score Distribution (all 312 models)
0255075100
Artificial Analysis — Agentic Index

Artificial Analysis Agentic Index. Composite score measuring agent capability across tool use and planning tasks.

35.6·
Artificial Analysis — Quality Index

Artificial Analysis Quality Index. Composite quality score combining multiple benchmark results into a single metric.

28.7·
Artificial Analysis — Coding Index

Artificial Analysis Coding Index. Composite coding quality score from multiple code benchmarks.

23.7·
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Links
Documentation
Community
BenchGecko API
grok-code-fast-1
Specifications
  • Typetext
  • Context256K tokens (~128 books)
  • ReleasedAug 2025
  • LicenseProprietary
  • StatusActive
  • Cost / Message~$0.002
Available On
xAI logoxAI$0.20
Categories
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Grok Code Fast 1 is a proprietary text AI model by xAI, released in August 2025. Context window: 256K tokens.

Key facts · as of 2026-05-03

  • Grok Code Fast 1 by xAI. Not enough public benchmark scores to rank yet.
  • List price $0.20 input · $1.50 output per 1M tokens (as of 2026-05-03).

How to cite · data as of 2026-05-03

Grok Code Fast 1 · benchmarks, pricing and providers. BenchGecko, data as of 2026-05-03. https://benchgecko.ai/model/grok-code-fast-1

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