BenchLeader

Grok 4.1 Fast

Reasoning effort

Grok 4.1 Fast is a SpaceXAI proprietary reasoning model, released 19 Nov 2025. Its best configuration (thinking reasoning effort) ranks #234 of 777 on the BenchLeader Index at 54.8 ±3.7, in the upper half. The ± is the point: 267 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in agents & tools (71) and lowest in coding (46). At $0.275 per million tokens blended it is cheaper than most ranked models. It has been measured at 3 reasoning-effort settings; this summary describes the best-scoring one, and the tabs above switch between them. Last measured 20 Oct 2026.

Blended price
$0.275/M
$0.200 in · $0.500 out
Output speed
–
First answer
–
Context
128k
Full answer
–
Cost per run
–
Released
19 Nov 2025
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index55
  2. Reasoning53
  3. Coding46
  4. Agents & tools71
  5. Maths50
  6. Knowledge55
  7. Instruction following54
  8. Human preference61
  9. Multimodal49
  10. Long context62
  11. Composite52

Versions

SpaceXAI has shipped 2 models under this name. Each is ranked on its own results; a newer version often has fewer results so far, which holds its index nearer the average until more arrive.

ModelReleasedIndexRank
Grok 4.1 Fastthinkingthis page19 Nov 202554.8#234
Grok 4 Fastthinking19 Sept 202551.5#339

Reasoning-effort configurations

The same model behaves differently depending on how much it is allowed to think. Each row is one setting, scored only on the benchmarks that were run at that setting. “Not stated” collects results from publishers that did not say which setting they used; for a reasoning model that is usually its thinking mode, but we do not assume it. Pick a setting here or at the top of the page to see its price, speed and category scores.

EffortIndexRankSpeedFirst answerChat reply costCategories
no reasoning42.6#581––$0.0002Agents & tools 61 · Coding 28 · Composite 42 · Instruction following 40 · Knowledge 41 · Long context 40 · Maths 40 · Multimodal 31 · Reasoning 48
high–––––
thinkingbest54.8#234––$0.0002Agents & tools 71 · Coding 46 · Composite 52 · Human preference 61 · Instruction following 54 · Knowledge 55 · Long context 62 · Maths 50 · Multimodal 49 · Reasoning 53

How its index has moved

8 Sept 2026 to 18 Oct 2026
394959
  • thinking
  • no reasoning

The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.

Benchmark results

See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Reasoning

Benchmarkno reasoningthinkingSourceTrend
SimpleBench56.0%#3756.0%#37SimpleBench
Arena Hard Prompts–1441#122Arena (LMArena)
GPQA Diamond (AA)not in index63.7%#34485.3%#125Artificial Analysis
Humanity's Last Exam (AA)not in index5.1%#43819.3%#215Artificial Analysis
GPQA Diamond (Vals)not in index65.2%#9884.3%#51Vals AI
CritPt0.0%#3072.9%#177Artificial Analysis
DTBenchnot in index–87.7%#97Epoch AI Benchmarking Hub
ForecastBenchnot in index–64.8%#19ForecastBench

Coding

Benchmarkno reasoningthinkingSourceTrend
Arena Coding–1461#127Arena (LMArena)
Arena WebDev–1242#126Arena (LMArena)
LiveCodeBench42.6%#12180.6%#64Vals AI
SWE-bench (Vals)not in index–41.4%#82Vals AI
Vibe Code Bench v1.1not in index–1.2%#107Vals AI
ALE-Benchnot in index–394.9#109Epoch AI Benchmarking Hub

Agents & tools

Benchmarkno reasoninghighthinkingSourceTrend
Terminal-Bench Hard14.4%#189–24.2%#137Artificial Analysis
τ²-Bench Telecom (AA)not in index63.7%#164–93.3%#37Artificial Analysis
BFCL Overall58.3%#10–69.6%#5Berkeley Function Calling Leaderboard
τ³-bench Bankingnot in index–13.1%#23–τ²-bench
ITBench SRE (AA)not in index17.9%#39––Artificial Analysis
Poker Agentnot in index––1079.2%#5Vals AI
Terminal-Bench 2.0 (Vals)not in index18.0%#57–24.7%#51Vals AI
Vending-Bench 2not in index––1106.6#54Andon Labs

Maths

Benchmarkno reasoningthinkingSourceTrend
ProofBench–4.0%#72Vals AI
AIME (Vals)27.1%#7291.9%#21Vals AI
MGSM87.6%#5689.5%#42Vals AI
AIME 2026–94.2%#20MathArena
HMMT February 2026–86.4%#20MathArena
MathArena Apexpossible contamination–5.2%#25MathArena
Arena Maths–1421#120Arena (LMArena)

Knowledge

Benchmarkno reasoningthinkingSourceTrend
AA-Omniscience-50.9#390-29.9#275Artificial Analysis
MMLU-Pro75.2%#10784.2%#64Vals AI
LegalBench79.1%#9682.5%#69Vals AI
CorpFin52.5%#9666.0%#24Vals AI
TaxEval61.9%#11773.1%#50Vals AI
MedQA76.0%#7592.1%#34Vals AI
CaseLaw v2not in index–60.5%#24Vals AI
MedCodenot in index28.4%#9628.1%#97Vals AI
MedScribenot in index77.5%#6878.7%#62Vals AI
Public Benefits Benchnot in index–44.8%#46Vals AI
AA-Omniscience: accuracynot in index17.2%#36225.1%#225Artificial Analysis
AA-Omniscience: non-hallucinationnot in index17.7%#30826.6%#232Artificial Analysis

Instruction following

Benchmarkno reasoningthinkingSourceTrend
IFBench36.5%#29252.7%#153Artificial Analysis
Arena Instruction Followingnot in index–1402#135Arena (LMArena)

Human preference

BenchmarkthinkingSourceTrend
Arena Text1430#111Arena (LMArena)
Arena Creative Writingnot in index1415#86Arena (LMArena)
Arena Multi-turnnot in index1413#135Arena (LMArena)
Arena Longer Queriesnot in index1422#128Arena (LMArena)

Multimodal

Benchmarkno reasoningthinkingSourceTrend
Arena Vision–1201#91Arena (LMArena)
MMMU-Pro48.4%#24463.3%#190Artificial Analysis
MMMU-Pro (Vals)not in index63.7%#7772.7%#60Vals AI
MortgageTaxnot in index34.3%#8942.6%#85Vals AI
SAGEnot in index11.9%#8931.3%#76Vals AI

Long context

Benchmarkno reasoningthinkingSourceTrend
AA-LCR31.3%#38374.0%#165Artificial Analysis

Composite

Benchmarkno reasoningthinkingSourceTrend
AA Intelligence Index v4.3.211.3#34720.4#225Artificial Analysis

Where it wins

Benchmarks where this configuration ranks in the top five of every configuration measured.

What a task costs

Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache at $0.050 per 1M. Reasoning tokens are not modelled.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.0002$0.0002–
Summarize a 30-page report12,000 / 600$0.0027$0.0014–
Code edit6,000 / 1,500$0.0020$0.0013–
Agentic coding session60,000 / 4,000$0.014$0.0073–
Structured extraction2,000 / 200$0.0005$0.0003–

More from SpaceXAI

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See also

Data as of 21 Oct 2026. Compare these configurations.

Cite as: BenchLeader, “Grok 4.1 Fast: benchmarks, pricing, speed and rank”, https://www.benchleader.com/models/grok-4-1-fast, data as of 21 Oct 2026.