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Grok 4.1 Fast

by xAI · Released Nov 2025

Multimodal2M Context
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Context
2.0M tokens (~1,000 books)
Input $/1M
$0.20
Output $/1M
$0.50
Type
multimodal
License
Proprietary
Benchmarks
3 tested
Data as of
About

Grok 4.1 Fast is xAI's best agentic tool calling model that shines in real-world use cases like customer support and deep research. 2M context window. Reasoning can be enabled/disabled using...

Tested on 3 benchmarks. Top scores: Artificial Analysis — Agentic Index (49.3%), Artificial Analysis — Quality Index (38.6%), Artificial Analysis — Coding Index (30.9%).

Capabilities
speed
39.6
#66 globally
Benchmark Scores
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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.

49.3·
Artificial Analysis — Quality Index

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

38.6·
Artificial Analysis — Coding Index

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

30.9·
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Links
Documentation
Community
BenchGecko API
grok-4-1-fast
Specifications
  • Typemultimodal
  • Context2.0M tokens (~1,000 books)
  • ReleasedNov 2025
  • LicenseProprietary
  • StatusActive
  • Cost / Message~$0.001
Available On
xAI logoxAI$0.20
Categories
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Grok 4.1 Fast is a proprietary multimodal AI model by xAI, released in November 2025. Context window: 2M tokens.

Key facts · as of 2026-05-03

  • Grok 4.1 Fast by xAI. Not enough public benchmark scores to rank yet.
  • List price $0.20 input · $0.50 output per 1M tokens (as of 2026-05-03).

How to cite · data as of 2026-05-03

Grok 4.1 Fast · benchmarks, pricing and providers. BenchGecko, data as of 2026-05-03. https://benchgecko.ai/model/grok-4-1-fast

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