BenchLeader

GPT-5.6 Sol vs Kimi K3.1 Pro Together

Full profiles: GPT-5.6 Sol (OpenAI) and Kimi K3.1 Pro Together (Moonshot AI): every benchmark, price and rank.

Updated · Data from 10 sources

As of 9 Nov 2026, GPT-5.6 Sol is ahead of Kimi K3.1 Pro Together on quality (65.4 vs 60.5 on the BenchLeader Index). Choose GPT-5.6 Sol for maths (71 vs 66); choose Kimi K3.1 Pro Together for knowledge (68 vs 64) and reasoning (67 vs 65).

Key facts (as of 9 Nov 2026)

  • GPT-5.6 Sol scores 65.4 on the BenchLeader Index and Kimi K3.1 Pro Together scores 60.5 (BenchLeader, 9 Nov 2026).
  • GPT-5.6 Sol costs $8.00 per 1M tokens blended (list price, 9 Nov 2026).
  • Of the 7 benchmarks both models have, GPT-5.6 Sol leads 5 (BenchLeader, 9 Nov 2026).

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
MathsGPT-5.6 Sol71 vs 66 category score; FrontierMath Tiers 1–3 89.1% vs 78.3%Medium
ReasoningKimi K3.1 Pro Together67 vs 65 category score; GPQA Diamond 94.2% vs 93.5%Medium
KnowledgeKimi K3.1 Pro Together68 vs 64 category score; SimpleQA Verified 62.2% vs 69.7%Medium
High volume on a budgetNeither flagshipA smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs–

Key differences

  • GPT-5.6 Sol (max) leads on quality: 65.4 vs 60.5.
  • GPT-5.6 Sol (max) is stronger in agents & tools, coding, instruction following, long context, maths, multimodal.
  • Kimi K3.1 Pro Together (max) is stronger in knowledge, reasoning.

At a glance

SpecGPT-5.6 SolKimi K3.1 Pro Together
DeveloperOpenAIMoonshot AI
Released9 Jul 202623 Oct 2026
Context window (tokens)1,050,000–
Compared atGPT-5.6 Sol (max)Kimi K3.1 Pro Together (max)
Open weightsNoNo
Price in / out / cached input per 1M$4.00 / $20.00 / $0.400–

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-5.6 Sol (max)Kimi K3.1 Pro Together (max)Leader
Reasoning64.967.1Kimi K3.1 Pro Together
Coding65.9–not comparable
Agents & tools66.8–not comparable
Maths70.765.8GPT-5.6 Sol
Knowledge64.367.6Kimi K3.1 Pro Together
Instruction following71.2–not comparable
Multimodal65.9–not comparable
Long context66.8–not comparable

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 avg75ReasoningMathsKnowledgeGPT-5.6 Sol, Reasoning: 64.9GPT-5.6 Sol, Maths: 70.7GPT-5.6 Sol, Knowledge: 64.3Kimi K3.1 Pro Together, Reasoning: 67.1Kimi K3.1 Pro Together, Maths: 65.8Kimi K3.1 Pro Together, Knowledge: 67.6

Not drawn, measured for fewer than two of these models: Coding, Agents & tools, Instruction following, Long context, Multimodal, Human preference.

ModelIndex

Where sources disagree

Across the 7 benchmarks both have, GPT-5.6 Sol leads 5, Kimi K3.1 Pro Together leads 1 and 1 is a tie. Every overall index that rates both puts GPT-5.6 Sol ahead.

Overall indexGPT-5.6 Sol (max)Kimi K3.1 Pro Together (max)Leader
BenchLeader Index65.460.5GPT-5.6 Sol

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-5.6 Sol (max)Kimi K3.1 Pro Together (max)
Blended price per 1M tokens$8.00–
Input / output per 1M$4.00 / $20.00– / –
Cached input per 1M$0.400–
Price per task: chat reply$0.0076–
Price per task: summarize a 30-page report$0.060–
Price per task: code edit$0.054–
Price per task: agentic coding session$0.320–
Price per task: structured extraction$0.012–
Agentic coding session, input mostly cached$0.158–
Output speed99 tok/s–
Time to first answer79.2 s–
Time to a complete answer162.8 s–

Each model is compared at its best-ranked reasoning-effort setting. GPT-5.6 Sol (max) scores 65.4 and takes 79 s to its first answer token; GPT-5.6 Sol (xhigh) scores 64.2 in 31 s, GPT-5.6 Sol (high) scores 63.5 in 13 s. Kimi K3.1 Pro Together (max) scores 60.5. 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

132 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-5.6 Sol (max)Kimi K3.1 Pro Together (max)
BenchLeader IndexBenchLeader65.460.5
Agents & tools scoreBenchLeader66.8–
Coding scoreBenchLeader65.9–
Instruction following scoreBenchLeader71.2–
Knowledge scoreBenchLeader64.367.6
Long context scoreBenchLeader66.8–
Maths scoreBenchLeader70.765.8
Multimodal scoreBenchLeader65.9–
Reasoning scoreBenchLeader64.967.1
Blended price $/MBenchLeader$8.00–
Output speedBenchLeader99 tok/s–
Time to first answerBenchLeader79.2 s–
Context windowBenchLeader1,050,000 tokens–
Reasoning
GPQA DiamondEpoch AI Benchmarking Hub93.5%94.2%
SimpleBenchSimpleBench64.8%†–
Arena Hard PromptsArena (LMArena)1511†–
LiveBench 1.0 ReasoningLiveBench91.7%–
GPQA Diamond (AA)Artificial Analysis94.1%–
Humanity's Last Exam (AA)Artificial Analysis49.5%–
GPQA Diamond (Vals)Vals AI95.2%–
EnigmaEvalScale AI SEAL37.1%†–
Kagi LLM BenchmarkKagi LLM Benchmark67.0%†–
ARC-AGI-1ARC Prize96.5%–
ARC-AGI-2ARC Prize92.5%–
ARC-AGI-3ARC Prize7.8%–
CritPtArtificial Analysis32.3%–
CritPt v2 hard subset (AA)Artificial Analysis60.0%–
MysteryMechanismVals AI33.3%–
Chess PuzzlesEpoch AI Benchmarking Hub59.0%45.0%
Mystery Game PuzzlesEpoch AI Benchmarking Hub58.0%42.0%
LMCAEpoch AI Benchmarking Hub58.4%–
DTBenchEpoch AI Benchmarking Hub95.5%–
ForecastBenchForecastBench65.5%–
BTF-3Epoch AI Benchmarking Hub13.7%–
Coding
SciCodeSciCode57.1%–
WeirdMLWeirdML87.0%–
FrontierCodeCognition47.5%†–
GSO-BenchGSO-Bench76.5%†–
Show all 132 benchmarks
MetricPublisherGPT-5.6 Sol (max)Kimi K3.1 Pro Together (max)
Coding
Arena CodingArena (LMArena)1533†–
Arena WebDevArena (LMArena)1615†–
LiveBench 1.0 CodingLiveBench83.9%–
LiveCodeBenchVals AI82.6%–
IOIVals AI91.2%–
SWE-bench (Vals)Vals AI96.2%–
Code MigrationVals AI52.9%–
ProgramBenchVals AI1.5%–
Vibe Code Bench 1-100Vals AI20.0%–
Vibe Code Bench v1.1Vals AI80.5%–
SWE Atlas: Codebase QnAScale AI SEAL46.0%†–
SWE Atlas: Test WritingScale AI SEAL45.9%†–
MirrorCodeEpoch AI Benchmarking Hub20.0%†–
Surface Evolver BenchEpoch AI Benchmarking Hub93.1%†–
DeepSWE v1.1Epoch AI Benchmarking Hub72.7%–
CursorBenchCursor41.7%–
ALE-BenchEpoch AI Benchmarking Hub2176.9–
FrontierSWEEpoch AI Benchmarking Hub32.2%–
Terminal-Bench 4.0 (AA)Artificial Analysis39.9%–
Terminal-Bench 2.1 (AA)Artificial Analysis88.0%–
Startrise FrontendStartrise66.2%†–
GameBench 2 OverallDuelLab GameBench 266.7†–
GameBench 2 by reasoning settingDuelLab GameBench 279.6†–
Design Arena WebsiteDesign Arena1317†–
Agents & tools
Terminal-BenchTerminal-Bench38.5%–
OSWorld-Verified 2.0OSWorld27.3%–
APEX-AgentsMercor51.4%†–
Arena AgentArena (LMArena)4.5†–
LiveBench Agentic CodingLiveBench56.2%–
Terminal-Bench HardArtificial Analysis65.9%–
τ²-Bench Telecom (AA)Artificial Analysis85.1%–
Terminal-Bench 2.1 (Vals)Vals AI85.8%–
HiL-BenchScale AI SEAL32.3%†–
τ³-bench Bankingτ²-bench46.9%†–
τ³-Banking (AA)Artificial Analysis44.3%–
ITBench SRE (AA)Artificial Analysis56.2%–
Analyst Agent (AA)Artificial Analysis47.5%–
CUA-benchVals AI8.3%–
CyberBenchVals AI76.3%–
Finance Agent v2Vals AI53.8%–
Harvey's Legal Agent Benchmark v1Vals AI2.5%–
Legal Research BenchVals AI48.1%–
SkillsBenchVals AI54.1%–
SREBenchVals AI30.5%–
Tax Agent BenchVals AI31.1%–
Terminal-Bench 4.0 (Vals)Vals AI37.9%–
Terminal-Bench ScienceVals AI20.0%–
Time Horizon Index: KSPVals AI23.8%–
Web Search IndexVals AI43.6%–
Arena SearchArena (LMArena)1256†–
BALROGBALROG60.0%–
PostTrainBenchEpoch AI Benchmarking Hub36.2%–
GBAEvalEpoch AI Benchmarking Hub52.6%†–
Vending-Bench 2Andon Labs9619.4†–
AutomationBenchArtificial Analysis60.1%–
GDP.pdf (AA)Artificial Analysis27.2%–
EnterpriseOps-GymArtificial Analysis42.9%–
AA-Briefcase v1.1Artificial Analysis1479–
Design Arena AgenticDesign Arena1236†–
Terminal-Bench-Science 0.1 (AA)Artificial Analysis22.4%–
Maths
FrontierMath Tiers 1–3Epoch AI Benchmarking Hub89.1%78.3%
FrontierMath Tier 4Epoch AI Benchmarking Hub82.9%65.8%
OTIS Mock AIMEEpoch AI Benchmarking Hub100.0%100.0%
ProofBenchVals AI83.0%–
LiveBench MathematicsLiveBench96.2%–
Arena MathsArena (LMArena)1494†–
Knowledge
SimpleQA VerifiedEpoch AI Benchmarking Hub69.7%62.2%
LiveBench 1.0 Data AnalysisLiveBench79.8%–
MMLU-ProVals AI89.1%–
LegalBenchVals AI87.0%–
CorpFinVals AI64.4%–
TaxEvalVals AI74.8%–
PRBench FinanceScale AI SEAL50.5%–
PRBench LegalScale AI SEAL50.5%–
BioMysteryBenchVals AI71.1%–
Excel Modeling BenchmarkVals AI72.3%–
MedCodeVals AI44.0%–
MedScribeVals AI85.2%–
Public Benefits Bench v1.1Vals AI66.5%–
DrugDiscoveryBenchScale AI SEAL56.5%–
EBR-benchEpoch AI Benchmarking Hub44.8%–
GDP.pdfEpoch AI Benchmarking Hub30.7%–
Instruction following
LiveBench LanguageLiveBench87.7%–
LiveBench Instruction FollowingLiveBench71.8%–
IFBenchArtificial Analysis72.7%–
Arena Instruction FollowingArena (LMArena)1490†–
Human preference
Arena TextArena (LMArena)1485†–
EQ-Bench 4EQ-Bench1236†–
Arena Creative WritingArena (LMArena)1471†–
Arena Multi-turnArena (LMArena)1491†–
Arena Longer QueriesArena (LMArena)1498†–
Multimodal
Arena VisionArena (LMArena)1282†–
MMMU-ProArtificial Analysis83.4%–
MMMU-Pro (Vals)Vals AI88.8%–
MortgageTaxVals AI67.3%–
Blueprint-Bench 2Epoch AI Benchmarking Hub33.6%†–
Long context
AA-LCR v1.1Artificial Analysis84.0%–
Arena DocumentArena (LMArena)1486†–
MLCRArtificial Analysis30.0%–
Composite
Epoch Capabilities IndexEpoch AI Benchmarking Hub163.0†–
LiveBench 1.0LiveBench81.0%–
AA Intelligence Index v4.3.2Artificial Analysis47.0–
AA Progress Index v1Artificial Analysis331.5–
Vals RSI IndexVals AI23.9%–
Vals Science IndexVals AI41.5%–
Vals Multimodal IndexVals AI72.6%–
Safety & honesty
FORTRESSScale AI SEAL20.1%†–

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-5.6 Sol (max): 1 score revision.
  • Kimi K3.1 Pro Together (max): first results.
  • GPT-5.6 Sol (max): 1 score revision.
  • GPT-5.6 Sol (max): 2 new results (AA Progress Index v1, CritPt v2 hard subset (AA)).
  • GPT-5.6 Sol (max): 1 new result (AA-Briefcase v1.1).
  • GPT-5.6 Sol (max): 3 new results (Harvey's Legal Agent Benchmark v1, Vals RSI Index, Vals Science Index).
  • GPT-5.6 Sol (max): 1 score revision.
  • GPT-5.6 Sol (max): 1 new result (ForecastBench).
  • GPT-5.6 Sol (max): 5 new results (AutomationBench, GDP.pdf (AA), MLCR…).
  • GPT-5.6 Sol (max): 1 score revision.

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

GPT-5.6 Sol vs Kimi K3.1 Pro Together: questions

Is GPT-5.6 Sol better than Kimi K3.1 Pro Together?
GPT-5.6 Sol (max) leads on quality: 65.4 vs 60.5. The BenchLeader Index combines every independent quality benchmark; GPT-5.6 Sol (max) is ahead overall as of 9 Nov 2026, but check the category scores for your use.
Do independent benchmarks agree on GPT-5.6 Sol vs Kimi K3.1 Pro Together?
Across the 7 benchmarks both have, GPT-5.6 Sol leads 5, Kimi K3.1 Pro Together leads 1 and 1 is a tie. Every overall index that rates both puts GPT-5.6 Sol ahead.
When was Kimi K3.1 Pro Together released?
Kimi K3.1 Pro Together was released on 23 Oct 2026.