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 out of 100.34.5 ±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

The index is a score out of 100. The ± range shows how much it can change.

CapabilitiesScore per category, out of 100.

Out of 100
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 as a score out of 100.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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