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GPT-6.1 Sol vs Kimi K3

GPT-6.1 Sol leads Kimi K3 on coding, 82.4 to 62.3 on the Vibe Coding Index, and GPT-6.1 Sol costs 1.5x less per output token ($10.00 vs $15.00 per million). Updated October 22, 2026; 84 benchmarks have a result for both.

GPT-6.1 SolOpenAI
Coding
82.4
Overall
81.4
Output $/M
$10.00
44
Kimi K3Moonshot AI
Coding
62.3
Overall
66.5
Output $/M
$15.00
40
vs boards won of 84 shared

GPT-6.1 Sol or Kimi K3: which to pick

Pick GPT-6.1 Sol for coding: it scores 82.4 on the Vibe Coding Index against 62.3 for Kimi K3, though on 5 benchmarks against 6.

Pick Kimi K3 for work measured by SWE-bench Multimodal (Vals AI) or CyberBench (Vals AI), where it leads.

Shared results
84
GPT-6.1 Sol only
14
Kimi K3 only
33
Like-for-like categories
8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
GPT-6.1 Sol 82.4 from 5 benchmarks, Kimi K3 62.3 from 6 benchmarks.
Widest category
Coding, 18.0 points apart on average over 17 shared benchmarks.
Widest single gap
LiveBench browser: GPT-6.1 Sol 88.0% against Kimi K3 16.0%, 72.0 points apart on a 0 to 100 scale.
Output price
GPT-6.1 Sol $10.00 against Kimi K3 $15.00 per million output tokens, 1.5x apart.
Context window
GPT-6.1 Sol takes 1.05M tokens, Kimi K3 1.05M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGPT-6.1 SolBarsKimi K3Ties
Coding125
Intelligence20
Agentic work95
Reasoning73
Math51
Knowledge15
Web design34
General517
All shared boards4440
CodingLike-for-likeSix of these boards feed the Vibe Coding Index125
Coding benchmarks for GPT-6.1 Sol and Kimi K3
BenchmarkGPT-6.1 SolKimi K3Leader
LiveBench coding96.0%59.3%GPT-6.1 Sol
LMArena WebDev17531655GPT-6.1 Sol
AA Coding IndexNot measured76.2Only Kimi K3 measured
LiveCodeBench (Vals AI)Not measured87.2%Only Kimi K3 measured
SWE-bench Verified (Vals AI)Not measured93.4%Only Kimi K3 measured
Terminal-Bench 4 (Vals AI)55.0%17.2%GPT-6.1 Sol
Vibe Code Bench (Vals AI)88.9%85.0%GPT-6.1 Sol
Code migration (Vals AI)65.1%16.1%GPT-6.1 Sol
ProgramBench (Vals AI)3.0%2.0%GPT-6.1 Sol
IOI (Vals AI)96.9%48.9%GPT-6.1 Sol
Terminal-Bench 2.1 (Vals AI)Not measured80.9%Only Kimi K3 measured
SWE-bench Multimodal (Vals AI)43.5%44.2%Kimi K3
Vibe Code Bench 1-100 (Vals AI)Not measured18.2%Only Kimi K3 measured
CyberBench (Vals AI)39.3%75.2%Kimi K3
SciCode55.8%59.5%Kimi K3
FrontierCode50.2%44.2%GPT-6.1 Sol
FrontierSWENot measured25.9%Only Kimi K3 measured
WeirdMLNot measured82.6%Only Kimi K3 measured
ALE-Bench2743.81524.5GPT-6.1 Sol
LMArena Text: coding14781508Kimi K3
LMArena Text: software and IT14761499Kimi K3
LMArena WebDev: React17541670GPT-6.1 Sol
LMArena WebDev: HTML18001644GPT-6.1 Sol
LMArena WebDev: from an image17021579GPT-6.1 Sol
SciCode9.2%Not measuredOnly GPT-6.1 Sol measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-6.1 Sol and Kimi K3
BenchmarkGPT-6.1 SolKimi K3Leader
AA Intelligence Index51.843.6GPT-6.1 Sol
Epoch Capabilities Index168.4157.9GPT-6.1 Sol
Agentic workLike-for-likePublic boards, shown as published, kept out of the index95
Agentic work benchmarks for GPT-6.1 Sol and Kimi K3
BenchmarkGPT-6.1 SolKimi K3Leader
AA Agentic IndexNot measured50.0Only Kimi K3 measured
Design Arena: agents building web apps13061295GPT-6.1 Sol
Design Arena: agents building full-stack appsNot measured1315Only Kimi K3 measured
Design Arena: agents building mobile apps12131269Kimi K3
Design Arena: agents building Android appsNot measured1253Only Kimi K3 measured
Design Arena: agents building Godot gamesNot measured1223Only Kimi K3 measured
Design Arena: agents building gamesNot measured1252Only Kimi K3 measured
Design Arena: HTML slidesNot measured1206Only Kimi K3 measured
Design Arena: PowerPoint slidesNot measured1247Only Kimi K3 measured
Design Arena: spreadsheets12591070GPT-6.1 Sol
LiveBench research83.5%79.0%GPT-6.1 Sol
LiveBench browser88.0%16.0%GPT-6.1 Sol
LiveBench long agentic73.0%42.8%GPT-6.1 Sol
SREBench (Vals AI)50.8%Not measuredOnly GPT-6.1 Sol measured
Finance Agent (Vals AI)52.0%53.1%Kimi K3
Tax Agent Bench (Vals AI)21.8%33.4%Kimi K3
Legal Research Bench (Vals AI)38.5%46.1%Kimi K3
Harvey's Legal Agent Benchmark (Vals AI)6.3%12.9%Kimi K3
Excel Modeling Benchmark (Vals AI)70.8%66.7%GPT-6.1 Sol
BioMysteryBench (Vals AI)79.6%72.6%GPT-6.1 Sol
Terminal-Bench-Science (Vals AI)52.9%1.4%GPT-6.1 Sol
Vals Science Index59.6%Not measuredOnly GPT-6.1 Sol measured
Time Horizon Index (Vals AI)Not measured10.5%Only Kimi K3 measured
Robo-bench (Vals AI)28.3%Not measuredOnly GPT-6.1 Sol measured
APEX-Agents60.0%47.8%GPT-6.1 Sol
PostTrainBenchNot measured32.0%Only Kimi K3 measured
SpireClimb24.7%Not measuredOnly GPT-6.1 Sol measured
Vending-Bench 2Not measured$5,165Only Kimi K3 measured
Neither model has a result on the other 13 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index73
Reasoning benchmarks for GPT-6.1 Sol and Kimi K3
BenchmarkGPT-6.1 SolKimi K3Leader
GPQA DiamondNot measured92.9%Only Kimi K3 measured
LiveBench reasoning92.6%90.7%GPT-6.1 Sol
MysteryMechanism (Vals AI)46.4%Not measuredOnly GPT-6.1 Sol measured
MMMU Pro (Vals AI)Not measured88.2%Only Kimi K3 measured
GPQA Diamond (Artificial Analysis run)Not measured93.5%Only Kimi K3 measured
Humanity's Last Exam (Artificial Analysis run)52.9%46.9%GPT-6.1 Sol
GPQA Diamond (Epoch AI run)95.4%93.1%GPT-6.1 Sol
ARC-AGI98.5%94.5%GPT-6.1 Sol
ARC-AGI-294.2%60.4%GPT-6.1 Sol
SimpleBenchNot measured60.7%Only Kimi K3 measured
Chess puzzles68.0%37.0%GPT-6.1 Sol
Mystery game puzzles80.0%26.0%GPT-6.1 Sol
EBR-bench54.3%Not measuredOnly GPT-6.1 Sol measured
LMArena Text: hard prompts14631495Kimi K3
LMArena Text: expert14891520Kimi K3
LMArena Text: hard prompts in English14651496Kimi K3
LMArena Vision: diagrams1306Not measuredOnly GPT-6.1 Sol measured
LMArena Vision: homework1356Not measuredOnly GPT-6.1 Sol measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index51
Math benchmarks for GPT-6.1 Sol and Kimi K3
BenchmarkGPT-6.1 SolKimi K3Leader
OTIS Mock AIME100.0%97.2%GPT-6.1 Sol
FrontierMath, tiers 1 to 393.7%72.2%GPT-6.1 Sol
FrontierMath, tier 4100.0%39.0%GPT-6.1 Sol
ProofBench99.0%87.0%GPT-6.1 Sol
LMArena Text: math14891494Kimi K3
LMArena Text: mathematical work15131505GPT-6.1 Sol
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index15
Knowledge benchmarks for GPT-6.1 Sol and Kimi K3
BenchmarkGPT-6.1 SolKimi K3Leader
MMLU ProNot measured88.0%Only Kimi K3 measured
LegalBench (Vals AI)Not measured86.2%Only Kimi K3 measured
CorpFin (Vals AI)Not measured71.6%Only Kimi K3 measured
TaxEval (Vals AI)Not measured75.7%Only Kimi K3 measured
MortgageTax (Vals AI)Not measured66.3%Only Kimi K3 measured
MedCode (Vals AI)48.8%49.4%Kimi K3
SimpleQA Verified73.9%50.6%GPT-6.1 Sol
LMArena Text: science14441508Kimi K3
LMArena Text: medicine and healthcare14331489Kimi K3
LMArena Text: legal and government14711503Kimi K3
LMArena Text: business and finance14451470Kimi K3
FACTS Benchmark Suite75.3%Not measuredOnly GPT-6.1 Sol measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index34
Web design benchmarks for GPT-6.1 Sol and Kimi K3
BenchmarkGPT-6.1 SolKimi K3Leader
Design Arena: websites13211334Kimi K3
Design Arena: UI components13171341Kimi K3
Design Arena: game dev13891358GPT-6.1 Sol
Design Arena: data viz12811351Kimi K3
Design Arena: 3D14601387GPT-6.1 Sol
Design Arena: all code categories13451360Kimi K3
Design Arena: SVGNot measured1302Only Kimi K3 measured
LiveBench design82.1%77.2%GPT-6.1 Sol
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index517
General benchmarks for GPT-6.1 Sol and Kimi K3
BenchmarkGPT-6.1 SolKimi K3Leader
Vals Index63.9%53.0%GPT-6.1 Sol
LiveBench data analysis82.7%78.7%GPT-6.1 Sol
Public Benefits Bench (Vals AI)59.3%68.2%Kimi K3
SAGE (Vals AI)46.5%52.8%Kimi K3
MedScribe (Vals AI)86.5%88.0%Kimi K3
Vals Multimodal IndexNot measured73.4%Only Kimi K3 measured
Long context reasoning (AA-LCR)84.0%88.7%Kimi K3
DTBench96.5%91.2%GPT-6.1 Sol
LMCA62.8%52.7%GPT-6.1 Sol
Surface Evolver BenchNot measured95.0%Only Kimi K3 measured
Furniture assembly80.0%34.2%GPT-6.1 Sol
LMArena Text14431476Kimi K3
LMArena Text: instruction following14661485Kimi K3
LMArena Text: creative writing14251457Kimi K3
LMArena Vision1288Not measuredOnly GPT-6.1 Sol measured
LMArena Text: English14501481Kimi K3
LMArena Text: non-English14331466Kimi K3
LMArena Text: Chinese14871529Kimi K3
LMArena Text: GermanNot measured1490Only Kimi K3 measured
LMArena Text: JapaneseNot measured1494Only Kimi K3 measured
LMArena Text: KoreanNot measured1460Only Kimi K3 measured
LMArena Text: French14601492Kimi K3
LMArena Text: Spanish14391472Kimi K3
LMArena Text: Russian14571485Kimi K3
LMArena Text: PolishNot measured1458Only Kimi K3 measured
LMArena Text: multi-turn14421489Kimi K3
LMArena Text: longer queries14581494Kimi K3
LMArena Text: writing and language14441471Kimi K3
LMArena Text: entertainment and media14261453Kimi K3
LMArena Vision: English1274Not measuredOnly GPT-6.1 Sol measured
LMArena Vision: reading text1289Not measuredOnly GPT-6.1 Sol measured
LMArena Vision: creative writing1301Not measuredOnly GPT-6.1 Sol measured
Neither model has a result on the other 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-6.1 Sol and Kimi K3
BenchmarkGPT-6.1 SolKimi K3Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

GPT-6.1 Sol$0.0070Fits in one request
Kimi K3$0.011Fits in one request

GPT-6.1 Sol costs less

Repository review

50K input + 3K output tokens

GPT-6.1 Sol$0.130Fits in one request
Kimi K3$0.195Fits in one request

GPT-6.1 Sol costs less

Agent loop

200K input + 10K output tokens

GPT-6.1 Sol$0.500Fits in one request
Kimi K3$0.750Fits in one request

GPT-6.1 Sol costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of GPT-6.1 Sol and Kimi K3
SpecificationOpenAI GPT-6.1 SolMoonshotAI Kimi K3
MakerOpenAIMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedSeptember 29, 2026July 16, 2026
Context window1.05M1.05M
Input $/Mtok$2.00$3.00
Output $/Mtok$10.00$15.00
Coding index82.462.3
Independent measurements behind it56
Cost per solved taskNot computable$0.81
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-6.1 Sol better than Kimi K3 for coding?

Pick GPT-6.1 Sol for coding: it scores 82.4 on the Vibe Coding Index against 62.3 for Kimi K3, though on 5 benchmarks against 6. Pick Kimi K3 for work measured by SWE-bench Multimodal (Vals AI) or CyberBench (Vals AI), where it leads.

Which is cheaper, GPT-6.1 Sol or Kimi K3?

GPT-6.1 Sol costs $2.00 per million input tokens and $10.00 per million output tokens; Kimi K3 costs $3.00 and $15.00. Cost per solved task is known for Kimi K3 only.

Which has the bigger context window, GPT-6.1 Sol or Kimi K3?

GPT-6.1 Sol, with 1.05M tokens against 1.05M.

How many benchmarks is the GPT-6.1 Sol vs Kimi K3 comparison based on?

84 benchmarks have a result for both models as of October 22, 2026. GPT-6.1 Sol's coding index rests on 5 independent benchmarks and Kimi K3's on 6. Where only one model has a result, the page says so instead of naming a winner.

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