Grok 4.1 Fast

Grok 4.1 Fast is a non-reasoning model from xAI. 10 benchmarks count toward its score, in 5 categories.

availableShows if the model has enough results for an index.
IndexOverall score. 50 is the middle.34.5 ±8.6
CoverageShare of the index weight with results.65%
SpeedOutput tokens per second.138/s
Input / 1MUS dollars per 1M input tokens.$0.2
Output / 1MUS dollars per 1M output tokens.$0.5
ContextMaximum tokens in one request.1M
EloLMArena rating and rank.N/A

50 is the middle of the board. The range shows the doubt in the index.

CapabilitiesScore per category. 50 is the middle.

50 is the middle
AgenticMulti-step tasks with tools.
40.5
CodingCode writing and repair.
N/A
ReasoningLogic problems and puzzles.
34.1
MultimodalTasks with images and text.
26.2
KnowledgeFacts and expert knowledge.
33.9
MultilingualTasks in many languages.
N/A
InstructionTasks with strict rules in the prompt.
26.2
MathMath problems.
N/A

Results

10 counted
BenchmarkThe test name.CategoryThe capability that the test measures.ResultThe score from the publisher.IndexThis result on the index scale.RunThe settings of the run.DateDate of the result.Published byThe source of the result.
τ²-Bench Tool-Agent-User EvaluationAgentic63.7%44.5Victor Barres et al.
Artificial Analysis GPQA DiamondKnowledge63.7%33.8Artificial Analysis
Artificial Analysis MMMU-ProMultimodal48.4%26.2Artificial Analysis
Gert Labs Composite Game BenchmarkAgentic47.3%54.5Gert Labs
Artificial Analysis IFBenchInstruction36.5%26.2Artificial Analysis
Artificial Analysis Long Context ReasoningReasoning31.3%29.9Artificial Analysis
Artificial Analysis Omniscience AccuracyKnowledge17.2%35.1Artificial Analysis
τ²-bench BankingAgentic13.1%8.3high effort · Sierra4 Aug 2026Sierra Research
Artificial Analysis Intelligence IndexKnowledge11.3%36.5Artificial Analysis
Artificial Analysis Humanity's Last ExamKnowledge5.1%30.1Artificial Analysis
Critical Physics TasksReasoning0.0%38.4Artificial Analysis

10 benchmarks count, from 11 of 11 results. A grey row does not count. Too few models took that benchmark.

Sources

BenchLM benchmark aggregationUsed with attribution; per-benchmark results credited to their original authorsSierra Research, collected directlyMIT — results are in the licensed repository

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