BenchLeader

Grok 4.3

Reasoning effort

Grok 4.3 is a SpaceXAI proprietary reasoning model, released 17 Apr 2026. Its best configuration (medium reasoning effort) ranks #147 of 785 on the BenchLeader Index at 58.7 ±6.8, in the upper half. The ± is the point: 302 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 instruction following (80) and lowest in reasoning (49). At $1.56 per million tokens blended it is pricier than most ranked models. Output speed of 110 tokens per second puts it faster than most, with a first answer in 12.4 s. It has been measured at 5 reasoning-effort settings; this summary describes the best-scoring one, and the tabs above switch between them. Last measured 30 Apr 2026.

Blended price
$1.56/M
$1.25 in · $2.50 out
Output speed
110 tok/s
measured by Artificial Analysis
First answer
12 s
first token 1.34 s
Context
1M
Full answer
17 s
median, reasoning included
Cost per run
–
Released
17 Apr 2026
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index59
  2. Reasoning49
  3. Agents & tools60
  4. Knowledge69
  5. Instruction following80
  6. Multimodal59
  7. Long context62
  8. Composite57

Versions

SpaceXAI has shipped 11 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 4.7high21 Sept 202663.9#59
Grok 4.6medium11 Aug 202664.2#56
Grok 4.5high8 Jul 202659.3#134
Grok 4.3mediumthis page17 Apr 202658.7#147
Grok 4.2high10 Mar 2026––
Grok 4.20thinking17 Feb 202658.6#148
Grok 4.117 Nov 202557.2#184
Grok 49 Jul 202558.0#161
Grok 317 Feb 202551.5#340
Grok 212 Dec 202441.9#612
Grok 4.20 1–––

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 reasoning45.9#50588 tok/s0.66 s$0.0013Agents & tools 41 · Composite 45 · Instruction following 49 · Knowledge 47 · Long context 40 · Multimodal 48 · Reasoning 41
low56.9#19486 tok/s5.96 s$0.0013Agents & tools 57 · Composite 57 · Instruction following 78 · Knowledge 68 · Long context 62 · Multimodal 56 · Reasoning 42
mediumbest58.7#147110 tok/s12 s$0.0013Agents & tools 60 · Composite 57 · Instruction following 80 · Knowledge 69 · Long context 62 · Multimodal 59 · Reasoning 49
high57.0#188102 tok/s17 s$0.0013Agents & tools 45 · Coding 58 · Composite 57 · Instruction following 79 · Knowledge 57 · Long context 61 · Maths 47 · Multimodal 61 · Reasoning 59
not stated54.7#24480 tok/s1.34 s$0.0013Coding 48 · Human preference 52 · Knowledge 60 · Maths 60 · Multimodal 55 · Reasoning 62

How its index has moved

8 Sept 2026 to 21 Oct 2026
385368
  • medium
  • high
  • low
  • not stated

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 reasoninglowmediumhighnot statedSourceTrend
GPQA Diamond–––88.8%#57–Epoch AI Benchmarking Hub
Arena Hard Promptseffort not stated––––1456#103Arena (LMArena)
LiveBench 1.0 Reasoningnot in indexeffort not stated––––70.8%#64LiveBench
GPQA Diamond (AA)not in index65.8%#33884.3%#14389.0%#8390.1%#64–Artificial Analysis
Humanity's Last Exam (AA)not in index6.8%#38218.4%#23230.0%#15137.2%#107–Artificial Analysis
GPQA Diamond (Vals)not in indexeffort not stated––––91.4%#22Vals AI
CritPt0.0%#3150.6%#2544.9%#1588.0%#138–Artificial Analysis
Chess Puzzlesnot in index–––18.0%#99–Epoch AI Benchmarking Hub
LMCAnot in index–––38.3%#114–Epoch AI Benchmarking Hub
DTBenchnot in index–––90.7%#79–Epoch AI Benchmarking Hub
ForecastBenchnot in indexeffort not stated––––63.4%#40ForecastBench

Coding

Benchmarkno reasoninghighnot statedSourceTrend
SciCode–48.3%#121–SciCode
WeirdMLeffort not stated––49.9%#69WeirdML
Arena Codingeffort not stated––1488#98Arena (LMArena)
Arena WebDeveffort not stated––1358#107Arena (LMArena)
LiveBench 1.0 Codingnot in indexeffort not stated––69.9%#62LiveBench
SciCode (AA)not in index39.4%#18048.3%#125–Artificial Analysis
LiveCodeBench–84.5%#37–Vals AI
SWE-bench (Vals)not in index–71.4%#55–Vals AI
Code Migrationnot in index–6.8%#65–Vals AI
ProgramBenchnot in index–0.0%#32–Vals AI
Vibe Code Bench v1.1not in index–19.4%#85–Vals AI
ALE-Benchnot in indexeffort not stated––944.2#60Epoch AI Benchmarking Hub
Terminal-Bench 4.0 (AA)not in index0.0%#1520.0%#152–Artificial Analysis
Terminal-Bench 2.1 (AA)not in index34.1%#15039.7%#139–Artificial Analysis

Agents & tools

Benchmarkno reasoninglowmediumhighnot statedSourceTrend
LiveBench Agentic Codingnot in indexeffort not stated––––18.5%#67LiveBench
Terminal-Bench Hard18.9%#16626.5%#12930.3%#11237.9%#62–Artificial Analysis
τ²-Bench Telecom (AA)not in index65.8%#16588.9%#7091.2%#5997.7%#9–Artificial Analysis
Terminal-Bench 2.1 (Vals)–––42.0%#64–Vals AI
τ³-Banking (AA)8.0%#158––12.4%#132–Artificial Analysis
ITBench SRE (AA)not in index–––32.7%#30–Artificial Analysis
Analyst Agent (AA)not in index–––8.8%#45–Artificial Analysis
APEX-Agents (AA)not in index–––17.0%#21–Artificial Analysis
Finance Agent v2not in index–––37.7%#64–Vals AI
Harvey's Legal Agent Benchmark v1not in index–––0.4%#58–Vals AI
Legal Research Benchnot in index–––15.4%#64–Vals AI
SkillsBenchnot in index–––40.6%#28–Vals AI
Tax Agent Benchnot in index–––6.2%#65–Vals AI
Terminal-Bench 2.0 (Vals)not in indexeffort not stated––––43.5%#28Vals AI
Arena Searchnot in indexeffort not stated––––1193#25Arena (LMArena)
Vending-Bench 2not in indexeffort not stated––––35.3#64Andon Labs
AutomationBenchnot in index0.9%#198––1.4%#190–Artificial Analysis
GDP.pdf (AA)not in index2.8%#183––5.8%#157–Artificial Analysis
EnterpriseOps-Gymnot in index–––26.3%#46–Artificial Analysis

Maths

Benchmarkhighnot statedSourceTrend
FrontierMath Tiers 1–342.8%#59–Epoch AI Benchmarking Hub
FrontierMath Tier 414.6%#61–Epoch AI Benchmarking Hub
OTIS Mock AIME93.3%#59–Epoch AI Benchmarking Hub
ProofBench11.0%#64–Vals AI
LiveBench Mathematicsnot in indexeffort not stated–84.3%#56LiveBench
Arena Mathseffort not stated–1419#122Arena (LMArena)

Knowledge

Benchmarkno reasoninglowmediumhighnot statedSourceTrend
SimpleQA Verified–––33.2%#59–Epoch AI Benchmarking Hub
LiveBench 1.0 Data Analysisnot in indexeffort not stated––––55.8%#62LiveBench
AA-Omniscience-33.1#29213.9#8716.7#7718.0#76–Artificial Analysis
MMLU-Pro–––85.8%#51–Vals AI
LegalBencheffort not stated––––84.5%#32Vals AI
CorpFineffort not stated––––68.5%#7Vals AI
TaxEvaleffort not stated––––70.8%#83Vals AI
CaseLaw v2not in indexeffort not stated––––79.3%#1Vals AI
Excel Modeling Benchmarknot in index–––18.4%#68–Vals AI
MedCodenot in indexeffort not stated––––38.1%#71Vals AI
MedScribenot in indexeffort not stated––––74.4%#79Vals AI
Public Benefits Bench v1.1not in index–––51.7%#43–Vals AI
GDP.pdfnot in index–––8.0%#538.0%#53Epoch AI Benchmarking Hub
AA-Omniscience: accuracynot in index23.7%#25126.7%#21328.8%#19434.8%#157–Artificial Analysis
AA-Omniscience: non-hallucinationnot in index25.5%#24182.6%#983.1%#774.2%#27–Artificial Analysis

Instruction following

Benchmarkno reasoninglowmediumhighnot statedSourceTrend
LiveBench Languagenot in indexeffort not stated––––73.6%#55LiveBench
LiveBench Instruction Followingnot in indexeffort not stated––––62.8%#52LiveBench
IFBench47.6%#18781.0%#683.3%#181.3%#4–Artificial Analysis
Arena Instruction Followingnot in indexeffort not stated––––1415#117Arena (LMArena)

Human preference

Benchmarknot statedSourceTrend
Arena Text1442#90Arena (LMArena)
EQ-Bench 41075#24EQ-Bench
Arena Creative Writingnot in index1422#79Arena (LMArena)
Arena Multi-turnnot in index1447#93Arena (LMArena)
Arena Longer Queriesnot in index1443#99Arena (LMArena)

Multimodal

Benchmarkno reasoninglowmediumhighnot statedSourceTrend
Arena Visioneffort not stated––––1229#78Arena (LMArena)
MMMU-Pro64.8%#18172.8%#12975.8%#9578.1%#77–Artificial Analysis
MMMU-Pro (Vals)not in indexeffort not stated––––83.1%#34Vals AI
MortgageTaxnot in indexeffort not stated––––48.3%#81Vals AI
SAGEnot in indexeffort not stated––––19.7%#87Vals AI
Blueprint-Bench 2not in indexeffort not stated––––0.0%#29Epoch AI Benchmarking Hub

Long context

Benchmarkno reasoninglowmediumhighSourceTrend
AA-LCR32.3%#38474.0%#16875.0%#15773.0%#182Artificial Analysis
MLCRnot in index5.6%#139––8.3%#127Artificial Analysis

Composite

Benchmarkno reasoninglowmediumhighnot statedSourceTrend
Epoch Capabilities Indexnot in indexeffort not stated––––148.8#64Epoch AI Benchmarking Hub
LiveBench 1.0not in indexeffort not stated––––62.3%#66LiveBench
AA Intelligence Index v4.3.214.0#30224.3#17624.8#16924.9#167–Artificial Analysis
Vals Multimodal Indexnot in index–––43.3%#27–Vals AI

Where it wins

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

Where to run it

Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.

ProviderSpeedFirst tokenInput $/MOutput $/MContextQuantisation
SpaceXAI80 tok/s1.34 s$1.25$2.501M–
SpaceXAI77 tok/s1.22 s$1.25$2.501M–
SpaceXAI63 tok/s0.57 s$2.50$5.001M–

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 $0.200 per 1M. Reasoning tokens are not modelled.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.0013$0.000915.2 s
Summarize a 30-page report12,000 / 600$0.017$0.007117.9 s
Code edit6,000 / 1,500$0.011$0.006526.0 s
Agentic coding session60,000 / 4,000$0.085$0.03848.7 s
Structured extraction2,000 / 200$0.0030$0.001414.3 s

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See also

Questions people ask

What are Grok 4.3's benchmark scores?
As of 24 Oct 2026, Grok 4.3 (medium effort) scores 58.7 ±6.8 on the BenchLeader Index, strongest in instruction following (80) and weakest in reasoning (49). That rests on 7 independent benchmark results, and every score on this page links to its publisher.
How does Grok 4.3 rank?
Grok 4.3 (medium effort) is #147 of 785 ranked configurations on 24 Oct 2026. 302 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.
How much does Grok 4.3 cost per 1M tokens?
As of 24 Oct 2026, Grok 4.3 costs $1.25 per 1M input tokens and $2.50 per 1M output tokens, $1.56 blended (three input tokens per output token).
When was Grok 4.3 released?
SpaceXAI released Grok 4.3 on 17 Apr 2026. BenchLeader has results for it at 5 reasoning-effort settings.

Data as of 24 Oct 2026. Compare these configurations.

Cite as: BenchLeader, “Grok 4.3: benchmarks, pricing, speed and rank”, data as of 24 Oct 2026, https://www.benchleader.com/models/grok-4-3.