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GPT-6 Sol vs Kimi K2.6

Full profiles: GPT-6 Sol (OpenAI) and Kimi K2.6 (Moonshot AI): every benchmark, price and rank.

Updated · Data from 11 sources

As of 9 Nov 2026, GPT-6 Sol and Kimi K2.6 are neck and neck on quality (62.9 vs 59.8 on the BenchLeader Index, inside the ±6.2 margin), and Kimi K2.6 is 2.3× cheaper at $1.71 vs $4.00 per 1M tokens blended. Choose GPT-6 Sol for maths (69 vs 58), long context (67 vs 65), and agents & tools (60 vs 58), where it also streams 3×+ faster; choose Kimi K2.6 for multimodal (62 vs 61).

Key facts (as of 9 Nov 2026)

  • GPT-6 Sol scores 62.9 on the BenchLeader Index and Kimi K2.6 scores 59.8 (BenchLeader, 9 Nov 2026).
  • GPT-6 Sol costs $4.00 per 1M tokens blended (list price, 9 Nov 2026).
  • Kimi K2.6 costs $1.71 per 1M tokens blended (list price, 9 Nov 2026).
  • GPT-6 Sol streams 3×+ faster than Kimi K2.6 (Artificial Analysis, 7-day median, 9 Nov 2026).
  • Of the 19 benchmarks both models have, GPT-6 Sol leads 19 (BenchLeader, 9 Nov 2026).
GPT-6 Sol benchmarks max OpenAI Kimi K2.6 benchmarks thinking Moonshot AIAdd a third model

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 useGPT-6 Sol60 vs 58 category score; LiveBench Agentic Coding 52.9% vs 46.9%Medium
MathsGPT-6 Sol69 vs 58 category score; LiveBench Mathematics 96.4% vs 84.3%High
Long documentsGPT-6 Sol67 vs 65 category score; AA-LCR v1.1 83.7% vs 81.0%Medium
Images and other mediaKimi K2.662 vs 61 category score; MMMU-Pro 79.4% vs 83.0%Medium
Chat quality (human preference)–Only GPT-6 Sol has an Arena rating (64 category score)Not comparable
Lowest costKimi K2.6$1.71 vs $4.00 per 1M blended; agentic coding session $0.073 vs $0.160–
Fastest first answerEither72.1 s (GPT-6 Sol (max)) vs 75.2 s (Kimi K2.6 (thinking)) 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

  • GPT-6 Sol (max) and Kimi K2.6 (thinking) are neck and neck on quality (62.9 vs 59.8, within the ±6.2 margin).
  • GPT-6 Sol (max) is stronger in agents & tools, coding, human preference, knowledge, long context, maths, reasoning.
  • Kimi K2.6 (thinking) is stronger in multimodal, instruction following.
  • Kimi K2.6 (thinking) is 2.3× cheaper ($1.71 vs $4.00 per 1M blended).
  • GPT-6 Sol (max) streams 3.3× faster (121 vs 37 tokens per second).

At a glance

SpecGPT-6 SolKimi K2.6
DeveloperOpenAIMoonshot AI
Released22 Sep 202620 Apr 2026
Context window (tokens)1,050,000262,144
Compared atGPT-6 Sol (max)Kimi K2.6 (thinking)
Open weightsNoYes
Price in / out / cached input per 1M$2.00 / $10.00 / $0.200$0.950 / $4.00 / $0.160

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.

CategoryGPT-6 Sol (max)Kimi K2.6 (thinking)Leader
Reasoning66.2–not comparable
Coding66.5–not comparable
Agents & tools59.658.4GPT-6 Sol
Maths68.557.6GPT-6 Sol
Knowledge61.5–not comparable
Instruction following–74.1not comparable
Human preference64.2–not comparable
Multimodal60.761.8Kimi K2.6
Long context66.665.2GPT-6 Sol

On one chart

Each domain on the index's own scale, where 50 is an average model. Click a domain to see the benchmarks behind it. Pick up to 5 models from the list.

2550 avg75Agents & toolsMathsLong contextMultimodalGPT-6 Sol, Agents & tools: 59.6GPT-6 Sol, Maths: 68.5GPT-6 Sol, Long context: 66.6GPT-6 Sol, Multimodal: 60.7Kimi K2.6, Agents & tools: 58.4Kimi K2.6, Maths: 57.6Kimi K2.6, Long context: 65.2Kimi K2.6, Multimodal: 61.8

Not drawn, measured for fewer than two of these models: Reasoning, Coding, Knowledge, Instruction following, Human preference.

ModelIndex

Where sources disagree

Across the 19 benchmarks both have, GPT-6 Sol leads 19, Kimi K2.6 leads 0. Every overall index that rates both puts Kimi K2.6 ahead.

Overall indexGPT-6 Sol (max)Kimi K2.6 (thinking)Leader
BenchLeader Index62.959.8neck and neck
Arena Text14571461†Kimi K2.6

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. Cost, tokens and time per benchmark task are measured: Artificial Analysis’ averages over its whole Intelligence Index run.

MeasureGPT-6 Sol (max)Kimi K2.6 (thinking)
Blended price per 1M tokens$4.00$1.71
Input / output per 1M$2.00 / $10.00$0.950 / $4.00
Cached input per 1M$0.200$0.160
Price per task: chat reply$0.0038$0.0016
Price per task: summarize a 30-page report$0.030$0.014
Price per task: code edit$0.027$0.012
Price per task: agentic coding session$0.160$0.073
Price per task: structured extraction$0.0060$0.0027
Agentic coding session, input mostly cached$0.079$0.037
Cost per benchmark task (AA Index)$2.47–
Output tokens per task (AA Index)54k–
Of which reasoning35k–
Time per task (AA Index)7 min–
Output speed121 tok/s37 tok/s
Time to first answer72.1 s75.2 s
Time to a complete answer130.2 s196.2 s

Each model is compared at its best-ranked reasoning-effort setting. GPT-6 Sol (max) scores 62.9 and takes 72 s to its first answer token; GPT-6 Sol (xhigh) scores 58.6 in 24 s, GPT-6 Sol (high) scores 58.2 in 9 s. Kimi K2.6 (thinking) scores 59.8 and takes 75 s to its first answer token; Kimi K2.6 scores 55.2 in 1 s. 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

130 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.

MetricPublisherGPT-6 Sol (max)Kimi K2.6 (thinking)
BenchLeader IndexBenchLeader62.959.8
Agents & tools scoreBenchLeader59.658.4
Coding scoreBenchLeader66.5–
Human preference scoreBenchLeader64.2–
Knowledge scoreBenchLeader61.5–
Long context scoreBenchLeader66.665.2
Maths scoreBenchLeader68.557.6
Multimodal scoreBenchLeader60.761.8
Reasoning scoreBenchLeader66.2–
Instruction following scoreBenchLeader–74.1
Blended price $/MBenchLeader$4.00$1.71
Output speedBenchLeader121 tok/s37 tok/s
Time to first answerBenchLeader72.1 s75.2 s
Context windowBenchLeader1,050,000 tokens262,144 tokens
Reasoning
GPQA DiamondEpoch AI Benchmarking Hub94.3%90.8%†
Arena Hard PromptsArena (LMArena)14831485†
LiveBench 1.0 ReasoningLiveBench88.7%79.4%
GPQA Diamond (AA)Artificial Analysis–91.1%
Humanity's Last Exam (AA)Artificial Analysis47.9%37.5%
HLE-Diamond (AA)Artificial Analysis45.2%–
GPQA Diamond (Vals)Vals AI–89.1%†
ARC-AGI-1ARC Prize95.5%–
ARC-AGI-2ARC Prize89.6%–
ARC-AGI-3ARC Prize23.0%–
CritPtArtificial Analysis30.9%8.0%
CritPt v2 hard subset (AA)Artificial Analysis66.5%–
MysteryMechanismVals AI30.2%–
Chess PuzzlesEpoch AI Benchmarking Hub56.0%20.0%†
Mystery Game PuzzlesEpoch AI Benchmarking Hub56.0%18.0%†
LMCAEpoch AI Benchmarking Hub59.1%37.3%†
DTBenchEpoch AI Benchmarking Hub97.3%90.9%†
Coding
SWE-bench Verified (Epoch)Epoch AI Benchmarking Hub–76.7%†
SciCodeSciCode57.6%53.5%†
WeirdMLWeirdML–55.9%†
FrontierCodeCognition49.3%–
Arena CodingArena (LMArena)15201516†
Arena WebDevArena (LMArena)16741509†
LiveBench 1.0 CodingLiveBench81.8%78.6%
SciCode (AA)Artificial Analysis57.6%51.5%
Show all 130 benchmarks
MetricPublisherGPT-6 Sol (max)Kimi K2.6 (thinking)
Coding
LiveCodeBenchVals AI–86.8%†
IOIVals AI82.6%–
SWE-bench (Vals)Vals AI–76.2%†
Code MigrationVals AI57.2%27.8%†
ProgramBenchVals AI2.0%0.0%†
Vibe Code Bench v1.1Vals AI87.8%37.9%†
ALE-BenchEpoch AI Benchmarking Hub24621092.7†
Terminal-Bench 4.0 (AA)Artificial Analysis43.9%0.5%
Terminal-Bench 2.1 (AA)Artificial Analysis–65.9%
GameBench 2 OverallDuelLab GameBench 272.9†–
GameBench 2 by reasoning settingDuelLab GameBench 279.3†–
Design Arena WebsiteDesign Arena1285†1265†
FrontierCode 2.0 (AA)Artificial Analysis35.6%–
Agents & tools
Terminal-BenchTerminal-Bench50.3%–
OSWorld-Verified 2.0OSWorld–4.6%†
APEX-AgentsMercor54.3%–
Arena AgentArena (LMArena)7–
LiveBench Agentic CodingLiveBench52.9%46.9%
Terminal-Bench HardArtificial Analysis–43.9%
τ²-Bench Telecom (AA)Artificial Analysis–95.9%
Terminal-Bench 2.1 (Vals)Vals AI83.2%53.6%†
HiL-BenchScale AI SEAL–18.7%†
τ³-Banking (AA)Artificial Analysis–23.3%
ITBench SRE (AA)Artificial Analysis49.4%31.2%
APEX-Agents (AA)Artificial Analysis–28.5%
CyberBenchVals AI78.0%–
Finance Agent v2Vals AI49.0%44.9%†
Harvey's Legal Agent Benchmark v1Vals AI1.7%1.7%†
Legal Research BenchVals AI28.9%15.9%†
SREBenchVals AI30.5%–
Tax Agent BenchVals AI15.0%12.4%†
Terminal-Bench 2.0 (Vals)Vals AI–57.3%†
Terminal-Bench 4.0 (Vals)Vals AI44.4%–
Terminal-Bench ScienceVals AI30.0%–
Arena SearchArena (LMArena)1229–
ExploitBenchEpoch AI Benchmarking Hub–18.4%†
GBAEvalEpoch AI Benchmarking Hub–0.9%†
Vending-Bench 2Andon Labs14427.9†6204.6†
AutomationBenchArtificial Analysis61.6%13.0%
GDP.pdf (AA)Artificial Analysis25.2%13.0%
Harvey LAB-AA v1.1Harvey3.6%–
EnterpriseOps-GymArtificial Analysis–38.5%
AA-Briefcase v1.1Artificial Analysis1476–
Design Arena AgenticDesign Arena1212†1153†
Terminal-Bench-Science 0.1 (AA)Artificial Analysis30.0%–
CWE-Bench (AA)Artificial Analysis64.2%–
DeepSec-Bench (AA)Artificial Analysis46.3%–
CyberGym end-to-end (AA)Artificial Analysis0.0%–
Maths
FrontierMath Tiers 1–3Epoch AI Benchmarking Hub89.8%57.2%†
FrontierMath Tier 4Epoch AI Benchmarking Hub90.0%25.6%†
OTIS Mock AIMEEpoch AI Benchmarking Hub100.0%96.1%†
ProofBenchVals AI83.0%†16.0%†
LiveBench MathematicsLiveBench96.4%84.3%
AIME 2026MathArena–95.8%
HMMT February 2026MathArena–94.7%
USAMO 2026MathArena–51.2%
MathArena ApexMathArena–24.0%
Arena MathsArena (LMArena)14401479†
Knowledge
SimpleQA VerifiedEpoch AI Benchmarking Hub60.7%34.9%†
LiveBench 1.0 Data AnalysisLiveBench81.2%65.1%
AA-Omniscience v1.1Artificial Analysis21.4–
MMLU-ProVals AI–87.6%†
LegalBenchVals AI–84.7%†
CorpFinVals AI–66.7%†
TaxEvalVals AI–74.7%†
PRBench LegalScale AI SEAL38.6%†–
BioMysteryBenchVals AI74.8%–
CaseLaw v2Vals AI–61.2%†
Excel Modeling BenchmarkVals AI71.5%57.9%†
MedCodeVals AI47.1%40.1%†
MedScribeVals AI82.0%78.2%†
Public Benefits Bench v1.1Vals AI56.6%56.6%†
EBR-benchEpoch AI Benchmarking Hub53.3%2.4%†
GDP.pdfEpoch AI Benchmarking Hub26.4%12.0%†
AA-Omniscience v1.1: accuracyArtificial Analysis51.1%–
AA-Omniscience v1.1: non-hallucinationArtificial Analysis39.1%–
HealthBench Professional (AA)OpenAI62.3%–
Instruction following
LiveBench LanguageLiveBench85.3%75.1%
LiveBench Instruction FollowingLiveBench68.6%64.4%
IFBenchArtificial Analysis–76.0%
Arena Instruction FollowingArena (LMArena)14481456†
Human preference
Arena TextArena (LMArena)14571461†
EQ-Bench 4EQ-Bench–1191†
Arena Creative WritingArena (LMArena)14301432†
Arena Multi-turnArena (LMArena)14661462†
Arena Longer QueriesArena (LMArena)14661478†
Multimodal
Arena VisionArena (LMArena)12321282†
MMMU-ProArtificial Analysis83.0%79.4%
MMMU-Pro (Vals)Vals AI–86.3%†
MortgageTaxVals AI–65.8%†
Blueprint-Bench 2Epoch AI Benchmarking Hub36.9%†3.9%†
AA-3DArtificial Analysis1131–
Long context
AA-LCR v1.1Artificial Analysis83.7%81.0%
Arena DocumentArena (LMArena)–1450†
MLCRArtificial Analysis33.9%11.1%
Composite
Epoch Capabilities IndexEpoch AI Benchmarking Hub164.1†151.6†
LiveBench 1.0LiveBench79.3%70.5%
AA Intelligence Index v5.0Artificial Analysis44.2–
AA Intelligence Index v4.3.2Artificial Analysis47.627.0
AA Progress Index v1Artificial Analysis334284.4
Vals RSI IndexVals AI28.1%–
Vals Science IndexVals AI45.0%–
Vals Multimodal IndexVals AI–56.4%†
AA Cyber IndexArtificial Analysis36.8–
Safety & honesty
FORTRESSScale AI SEAL13.5%†–

Data as of 2026-11-09. Best configuration of each model; every score links to its source on the model pages.

DuelLab GameBench 2, release gb2-20261103-eaea31df94e6 (https://benchmarks.duellab.org/releases/gb2-20261103-eaea31df94e6/), CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Scores mapped to BenchLeader model names; not endorsed by DuelLab.

What changed

  • GPT-6 Sol (max): BenchLeader Index 63.5 → 62.9.
  • GPT-6 Sol (max): 2 score revisions.
  • GPT-6 Sol (max): 1 score revision.
  • GPT-6 Sol (max): 1 score revision.
  • GPT-6 Sol (max): 6 new results (AA Intelligence Index v5.0, AA-Omniscience v1.1, CritPt v2 hard subset (AA)…).
  • GPT-6 Sol (max): 1 score revision.
  • GPT-6 Sol (max): 1 score revision.
  • GPT-6 Sol (max): BenchLeader Index 64.1 → 63.5.
  • Kimi K2.6 (thinking): BenchLeader Index 60.3 → 59.8.
  • GPT-6 Sol (max): 2 new results (AA Progress Index v1, HLE-Diamond (AA)).

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

GPT-6 Sol vs Kimi K2.6: questions

Is GPT-6 Sol better than Kimi K2.6?
GPT-6 Sol (max) and Kimi K2.6 (thinking) are neck and neck on quality (62.9 vs 59.8, within the ±6.2 margin). The BenchLeader Index combines every independent quality benchmark; the two are within the margin of error as of 9 Nov 2026, so check the category scores for your use.
GPT-6 Sol vs Kimi K2.6: which is cheaper, and will that change?
Kimi K2.6 is cheaper today: $1.71 against $4.00 per million tokens, blended at three input tokens per output token. No price change has been announced for either.
Which is faster, GPT-6 Sol or Kimi K2.6?
GPT-6 Sol streams 3×+ faster (121 vs 37 output tokens per second, Artificial Analysis 7-day median).
Is GPT-6 Sol or Kimi K2.6 better for agents and tool use?
GPT-6 Sol scores higher in agentic tasks (60 vs 58 on the category index, where 50 is average).
Which is better for long documents?
GPT-6 Sol scores higher on long-context benchmarks (67 vs 65). GPT-6 Sol accepts more context: 1,050,000 against 262,144 tokens for Kimi K2.6.
More questions (3)
Which has lower latency?
GPT-6 Sol answers first: 72.1 s against 75.2 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.
Do independent benchmarks agree on GPT-6 Sol vs Kimi K2.6?
Across the 19 benchmarks both have, GPT-6 Sol leads 19, Kimi K2.6 leads 0. Every overall index that rates both puts Kimi K2.6 ahead.
When was GPT-6 Sol released?
GPT-6 Sol was released on 22 Sep 2026.