BenchLeader

Grok 4.6 vs Kimi K3.1 Pro

Full profiles: Grok 4.6 (SpaceXAI) and Kimi K3.1 Pro (Moonshot AI): every benchmark, price and rank.

Updated · Data from 6 sources

As of 24 Oct 2026, Grok 4.6 (medium) and Kimi K3.1 Pro are neck and neck on quality (64.2 vs 66.8 on the BenchLeader Index, inside the ±7.5 margin of error), and Grok 4.6 (medium) costs 1.3× less, which makes it the better buy for most workloads. Pick Grok 4.6 for agents & tools (74 vs 67); pick Kimi K3.1 Pro for reasoning (81 vs 64).

Which to pick for…

The pick's numbers come first. Category scores on the BenchLeader scale (50 is the average model, 15 points one standard deviation). High confidence means a lead of half a standard deviation or more; under one point is called either.

Use casePickWhyConfidence
Agents & tool useGrok 4.674 vs 67 category score; AutomationBench 63.1% vs 73.3%Medium
ReasoningKimi K3.1 Pro81 vs 64 category score; CritPt 24.6% vs 17.7%High
KnowledgeEither74 vs 75 category score; AA-Omniscience 28 vs 29.5Either
Long documentsKimi K3.1 Pro68 vs 66 category score; AA-LCR 86.3% vs 81.0%Medium
Lowest costGrok 4.6$3.00 vs $4.00 per 1M blended; agentic coding session $0.144 vs $0.160–
Fastest first answerEither25.5 s (Grok 4.6 (medium)) vs 27.7 s (Kimi K3.1 Pro) to the first answer token–
High volume on a budgetNeither flagshipA smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs–

Key differences

  • Grok 4.6 (medium) and Kimi K3.1 Pro are neck and neck on quality (64.2 vs 66.8, within the ±7.5 margin).
  • Grok 4.6 (medium) is stronger in agents & tools, coding, composite.
  • Kimi K3.1 Pro is stronger in knowledge, long context, reasoning, multimodal.
  • Grok 4.6 (medium) is 1.3× cheaper ($3.00 vs $4.00 per 1M blended).

At a glance

SpecGrok 4.6Kimi K3.1 Pro
DeveloperSpaceXAIMoonshot AI
Released11 Aug 202623 Oct 2026
Context window (tokens)500,0001,048,576
Compared atGrok 4.6 (medium)Kimi K3.1 Pro
Open weightsNoNo
Price in / out / cached input per 1M$2.00 / $6.00 / $0.500$2.00 / $10.00 / $0.200

Category by category

Category scores on the BenchLeader scale: 50 is the average evaluated model, 15 points is one standard deviation. A gap under one point is called level.

CategoryGrok 4.6 (medium)Kimi K3.1 ProLeader
Reasoning64.481.3Kimi K3.1 Pro
Coding62.3–not comparable
Agents & tools73.567.3Grok 4.6
Knowledge74.174.8level
Multimodal–67.0not comparable
Long context65.668.3Kimi K3.1 Pro
Composite77.475.8Grok 4.6

Where sources disagree

Across the 10 benchmarks both have, Grok 4.6 leads 1, Kimi K3.1 Pro leads 9. Every overall index that rates both puts Kimi K3.1 Pro ahead.

Overall indexGrok 4.6 (medium)Kimi K3.1 ProLeader
BenchLeader Index64.266.8neck and neck
AA Intelligence Index v4.3.242.855.1Kimi K3.1 Pro

Each publisher runs its own tasks, harnesses and effort settings, so their overall verdicts can differ; BenchLeader reconciles them on one scale. † measured at another effort setting of the same model (the publisher did not test the one compared here).

Price, speed and latency

List prices blended at three input tokens per output token. Per-task prices use the token counts on the methodology page; suite cost is what Artificial Analysis paid to run its whole Intelligence Index.

MeasureGrok 4.6 (medium)Kimi K3.1 Pro
Blended price per 1M tokens$3.00$4.00
Input / output per 1M$2.00 / $6.00$2.00 / $10.00
Cached input per 1M$0.500$0.200
Price per task: chat reply$0.0026$0.0038
Price per task: summarize a 30-page report$0.028$0.030
Price per task: code edit$0.021$0.027
Price per task: agentic coding session$0.144$0.160
Price per task: structured extraction$0.0052$0.0060
Cost to run a full benchmark suite$1.14$2.11
Output speed84 tok/s81 tok/s
Time to first answer25.5 s27.7 s
Time to a complete answer31.4 s33.9 s

Per token is not per task: on Artificial Analysis' full suite Grok 4.6 (medium) cost $1.14 and Kimi K3.1 Pro $2.11, because Kimi K3.1 Pro used about 1.4× as many tokens for the same work, which a per-token price hides.

Each model is compared at its best-ranked reasoning-effort setting. Grok 4.6 (medium) scores 64.2 and takes 25 s to its first answer token; Grok 4.6 (high) scores 62.9 in 25 s, Grok 4.6 (xhigh) scores 62.5 in 28 s. Kimi K3.1 Pro scores 66.8 and takes 28 s to its first answer token. Higher effort means more thinking before the answer: better scores, longer waits and more tokens billed. How reasoning effort changes scores and cost.

Every benchmark

116 benchmarks, grouped by category; each name links to the board and its leaders. † measured at another effort setting of the same model, shown for reference and not counted as a win.

MetricPublisherGrok 4.6 (medium)Kimi K3.1 Pro
BenchLeader IndexBenchLeader64.266.8
Agents & tools scoreBenchLeader73.567.3
Coding scoreBenchLeader62.3–
Composite scoreBenchLeader77.475.8
Knowledge scoreBenchLeader74.174.8
Long context scoreBenchLeader65.668.3
Reasoning scoreBenchLeader64.481.3
Multimodal scoreBenchLeader–67.0
Blended price $/MBenchLeader$3.00$4.00
Output speedBenchLeader84 tok/s81 tok/s
Time to first answerBenchLeader25.5 s27.7 s
Context windowBenchLeader500,000 tokens1,048,576 tokens
Reasoning
GPQA DiamondEpoch AI Benchmarking Hub94.0%†–
SimpleBenchSimpleBench75.9%†–
Arena Hard PromptsArena (LMArena)1482†–
LiveBench 2.0 ReasoningLiveBench91.2%†91.1%
LiveBench 1.0 ReasoningLiveBench90.5%†–
GPQA Diamond (AA)Artificial Analysis93.5%–
Humanity's Last Exam (AA)Artificial Analysis42.1%52.5%
GPQA Diamond (Vals)Vals AI94.7%†–
ARC-AGI-1ARC Prize87.5%–
ARC-AGI-2ARC Prize61.3%–
ARC-AGI-3ARC Prize2.1%†–
CritPtArtificial Analysis17.7%24.6%
MysteryMechanismVals AI30.6%†–
Chess PuzzlesEpoch AI Benchmarking Hub33.0%†–
Mystery Game PuzzlesEpoch AI Benchmarking Hub34.0%†–
LMCAEpoch AI Benchmarking Hub48.5%†–
DTBenchEpoch AI Benchmarking Hub97.3%†–
ForecastBenchForecastBench65.5%†–
Coding
SciCodeSciCode55.9%–
WeirdMLWeirdML67.3%†–
FrontierCodeCognition48.0%†–
Arena CodingArena (LMArena)1510†–
Arena WebDevArena (LMArena)1617†–
LiveBench 2.0 CodingLiveBench89.1%†81.8%
LiveBench 1.0 CodingLiveBench76.8%†–
Show all 116 benchmarks
MetricPublisherGrok 4.6 (medium)Kimi K3.1 Pro
Coding
SciCode (AA)Artificial Analysis55.9%60.8%
LiveCodeBenchVals AI88.2%†–
IOIVals AI47.6%†–
SWE-bench (Vals)Vals AI95.6%†–
Code MigrationVals AI44.6%†–
ProgramBenchVals AI1.0%†–
Vibe Code Bench 1-100Vals AI14.8%†–
Vibe Code Bench v1.1Vals AI76.2%†–
DeepSWE v1.1Epoch AI Benchmarking Hub67.5%–
CursorBenchCursor36.1%–
ALE-BenchEpoch AI Benchmarking Hub1508.1†–
FrontierSWEEpoch AI Benchmarking Hub25.3%†–
Terminal-Bench 4.0 (AA)Artificial Analysis13.1%67.2%
Terminal-Bench 2.1 (AA)Artificial Analysis84.3%–
Startrise FrontendStartrise72.1%†–
FrontierCode 1.1 (AA)Artificial Analysis–47.1%
Agents & tools
Terminal-BenchTerminal-Bench20.3%†–
APEX-AgentsMercor65.3%†–
Arena AgentArena (LMArena)0.7†–
LiveBench Long AgenticLiveBench40.7%†49.5%
LiveBench BrowserLiveBench64.0%†80.0%
LiveBench Agentic CodingLiveBench57.0%†–
Terminal-Bench 2.1 (Vals)Vals AI78.3%†–
GDPval-AA v2.1Artificial Analysis–67.3%
τ³-Banking (AA)Artificial Analysis44.3%–
Analyst Agent (AA)Artificial Analysis41.3%†–
CyberBenchVals AI67.7%†–
Finance Agent v2Vals AI53.7%†–
Harvey's Legal Agent Benchmark v1Vals AI15.8%†–
Legal Research BenchVals AI48.1%†–
SkillsBenchVals AI55.8%†–
Tax Agent BenchVals AI33.1%†–
Terminal-Bench 4.0 (Vals)Vals AI17.2%†–
Terminal-Bench ScienceVals AI11.4%†–
Time Horizon Index: KSPVals AI5.8%†–
Vending-Bench 2Andon Labs9047.0†–
AutomationBenchArtificial Analysis63.1%73.3%
GDP.pdf (AA)Artificial Analysis17.8%31.4%
EnterpriseOps-GymArtificial Analysis48.3%†–
AA-Briefcase v1.1Artificial Analysis1531†1678
Terminal-Bench-Science 0.1 (AA)Artificial Analysis6.2%†–
CWE-Bench (AA)Artificial Analysis–60.8%
DeepSec-Bench (AA)Artificial Analysis–36.7%
CyberGym end-to-end (AA)Artificial Analysis–94.7%
Maths
FrontierMath Tiers 1–3Epoch AI Benchmarking Hub66.0%†–
FrontierMath Tier 4Epoch AI Benchmarking Hub31.7%†–
OTIS Mock AIMEEpoch AI Benchmarking Hub97.8%†–
ProofBenchVals AI51.0%†–
LiveBench MathematicsLiveBench92.6%†–
Arena MathsArena (LMArena)1445†–
Knowledge
SimpleQA VerifiedEpoch AI Benchmarking Hub49.3%†–
LiveBench 2.0 Data AnalysisLiveBench75.3%†79.1%
LiveBench ResearchLiveBench84.5%†77.9%
LiveBench 1.0 Data AnalysisLiveBench73.9%†–
AA-OmniscienceArtificial Analysis2829.5
MMLU-ProVals AI89.4%†–
LegalBenchVals AI86.3%†–
CorpFinVals AI66.2%†–
TaxEvalVals AI71.1%†–
BioMysteryBenchVals AI72.2%†–
Excel Modeling BenchmarkVals AI62.7%†–
MedCodeVals AI44.7%†–
MedScribeVals AI86.5%†–
Public Benefits Bench v1.1Vals AI66.8%†–
EBR-benchEpoch AI Benchmarking Hub30.5%†–
GDP.pdfEpoch AI Benchmarking Hub16.0%†–
AA-Omniscience: accuracyArtificial Analysis41.9%51.0%
AA-Omniscience: non-hallucinationArtificial Analysis76.0%56.1%
Instruction following
LiveBench LanguageLiveBench83.7%†–
LiveBench Instruction FollowingLiveBench71.9%†–
Arena Instruction FollowingArena (LMArena)1452†–
Human preference
Arena TextArena (LMArena)1456†–
Arena Creative WritingArena (LMArena)1443†–
Arena Multi-turnArena (LMArena)1448†–
Arena Longer QueriesArena (LMArena)1475†–
Multimodal
Arena VisionArena (LMArena)1263†–
LiveBench DesignLiveBench79.8%†77.8%
MMMU-ProArtificial Analysis–83.9%
MortgageTaxVals AI64.2%†–
SAGEVals AI28.9%†–
Blueprint-Bench 2Epoch AI Benchmarking Hub33.2%†–
Long context
AA-LCRArtificial Analysis81.0%86.3%
Arena DocumentArena (LMArena)1461†–
MLCRArtificial Analysis18.3%–
Composite
Epoch Capabilities IndexEpoch AI Benchmarking Hub156.6†–
LiveBench 2.0LiveBench74.9%†76.7%
LiveBench 1.0LiveBench78.0%†–
AA Intelligence Index v4.3.2Artificial Analysis42.855.1
Vals RSI IndexVals AI25.5%†–
Vals Science IndexVals AI38.1%†–
AA Cyber IndexArtificial Analysis–64.1

Data as of 2026-10-24. Best configuration of each model; every score links to its source on the model pages.

What changed

  • Kimi K3.1 Pro: BenchLeader Index 65.6 → 66.8.
  • Kimi K3.1 Pro: 5 new results (FrontierCode 1.1 (AA), AA Cyber Index, CWE-Bench (AA)…).
  • Kimi K3.1 Pro: first results.
  • Grok 4.6 (medium): 1 new result (MLCR).
  • Grok 4.6 (medium): 15 new results (AA Intelligence Index v4.3.2, GPQA Diamond (AA), Humanity's Last Exam (AA)…).
  • Grok 4.6 (medium): 1 score revision.
  • Grok 4.6 (medium): 1 score revision; cost per task moved from 1.5 to 1.1 (24% down).
  • Grok 4.6 (medium): BenchLeader Index 64.8 → 64.3.
  • Grok 4.6 (medium): BenchLeader Index 65.5 → 64.8.

Rankings: Best LLM overall · Best LLM for agents · Best cheap LLMs

Grok 4.6 vs Kimi K3.1 Pro: questions

Is Grok 4.6 better than Kimi K3.1 Pro?
Grok 4.6 (medium) and Kimi K3.1 Pro are neck and neck on quality (64.2 vs 66.8, within the ±7.5 margin). The BenchLeader Index combines every independent quality benchmark; the two are within the margin of error as of 2026-10-24, so check the category scores for your use.
Which is cheaper, Grok 4.6 or Kimi K3.1 Pro, and will that change?
Grok 4.6 is cheaper today: $3.00 against $4.00 per million tokens, blended at three input tokens per output token. No price change has been announced for either.
Is Grok 4.6 better than Kimi K3.1 Pro for agents and tool use?
Grok 4.6 scores higher in agentic tasks (74 vs 67 on the category index, where 50 is average).
Which is better for long documents?
Kimi K3.1 Pro scores higher on long-context benchmarks (68 vs 66). Kimi K3.1 Pro accepts more context: 1,048,576 against 500,000 tokens for Grok 4.6.
Which has lower latency?
Grok 4.6 (medium) answers first: 25.5 s against 27.7 s to the first answer token, as Artificial Analysis measures it. Reasoning effort drives most of this: a higher setting thinks longer before it answers.
Which is faster, Grok 4.6 or Kimi K3.1 Pro?
Grok 4.6 streams faster: 84 against 81 output tokens per second.
Do independent benchmarks agree on Grok 4.6 vs Kimi K3.1 Pro?
Across the 10 benchmarks both have, Grok 4.6 leads 1, Kimi K3.1 Pro leads 9. Every overall index that rates both puts Kimi K3.1 Pro ahead.
When was Kimi K3.1 Pro released?
Kimi K3.1 Pro was released on 23 Oct 2026.