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GPT-4.1 vs Kimi K2.5

Updated October 21, 2026. 70 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

GPT-4.1OpenAI
Coding
46.5
Overall
12.7
Output $/M
$8.00
2
Kimi K2.5Moonshot AI
Coding
58.5
Overall
23.5
Output $/M
$2.50
68
vs boards won of 70 shared

Decision reading

Pick Kimi K2.5 for coding: it scores 58.5 on the Vibe Coding Index against 46.5 for GPT-4.1.

Pick GPT-4.1 when the context window is larger, 1.05M against 262K tokens, or when what matters is CaseLaw (Vals AI) or TaxEval (Vals AI), where it leads.

Shared results
70
GPT-4.1 only
17
Kimi K2.5 only
28
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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-4.1 46.5 from 2 benchmarks, Kimi K2.5 58.5 from 2 benchmarks.
Widest category
Agentic work, 48.8 points apart on average over 1 shared benchmark.
Widest single gap
ARC-AGI: GPT-4.1 5.5% against Kimi K2.5 65.3%, 59.8 points apart on a 0 to 100 scale.
Output price
GPT-4.1 $8.00 against Kimi K2.5 $2.50 per million output tokens, 3.2x apart.
Context window
GPT-4.1 takes 1.05M tokens, Kimi K2.5 262K.

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-4.1BarsKimi K2.5Ties
Coding07
Intelligence02
Agentic work01
Reasoning012
Math03
Knowledge29
Web design06
General028
All shared boards268
CodingLike-for-likeFour of these boards feed the Vibe Coding Index07
Coding benchmarks for GPT-4.1 and Kimi K2.5
BenchmarkGPT-4.1Kimi K2.5Leader
Aider polyglot52.4%Not measuredOnly GPT-4.1 measured
SWE-bench Verified39.6%70.8%Kimi K2.5
SWE-bench Multimodal31.1%Not measuredOnly GPT-4.1 measured
SWE-bench MultilingualNot measured67.3%Only Kimi K2.5 measured
LMArena WebDevNot measured1437Only Kimi K2.5 measured
AA Coding IndexNot measured46.8Only Kimi K2.5 measured
LiveCodeBench (Vals AI)54.7%83.9%Kimi K2.5
SWE-bench Verified (Vals AI)Not measured70.0%Only Kimi K2.5 measured
Vibe Code Bench (Vals AI)Not measured17.5%Only Kimi K2.5 measured
Code migration (Vals AI)Not measured7.0%Only Kimi K2.5 measured
Terminal-Bench 2.1 (Vals AI)Not measured42.0%Only Kimi K2.5 measured
LiveCodeBench (Artificial Analysis run)45.7%Not measuredOnly GPT-4.1 measured
Terminal-Bench Hard (Artificial Analysis run)13.6%34.8%Kimi K2.5
Terminal-BenchNot measured43.2%Only Kimi K2.5 measured
WeirdML39.0%45.6%Kimi K2.5
ALE-Bench558.1821.6Kimi K2.5
LMArena Text: coding13901483Kimi K2.5
LMArena Text: software and IT13911471Kimi K2.5
LMArena WebDev: ReactNot measured1429Only Kimi K2.5 measured
LMArena WebDev: HTMLNot measured1426Only Kimi K2.5 measured
LMArena WebDev: from an imageNot measured1439Only Kimi K2.5 measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-4.1 and Kimi K2.5
BenchmarkGPT-4.1Kimi K2.5Leader
AA Intelligence Index12.723.5Kimi K2.5
Epoch Capabilities Index136.7148.1Kimi K2.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-4.1 and Kimi K2.5
BenchmarkGPT-4.1Kimi K2.5Leader
Design Arena: agents building web appsNot measured1136Only Kimi K2.5 measured
Design Arena: agents building full-stack appsNot measured1114Only Kimi K2.5 measured
Design Arena: agents building mobile appsNot measured1147Only Kimi K2.5 measured
Design Arena: agents building Android appsNot measured1124Only Kimi K2.5 measured
Design Arena: agents building Godot gamesNot measured1219Only Kimi K2.5 measured
Finance Agent (Vals AI)Not measured35.8%Only Kimi K2.5 measured
Legal Research Bench (Vals AI)Not measured15.9%Only Kimi K2.5 measured
Excel Modeling Benchmark (Vals AI)Not measured28.5%Only Kimi K2.5 measured
τ²-Bench Telecom47.1%95.9%Kimi K2.5
OSWorldNot measured63.3%Only Kimi K2.5 measured
Vending-Bench 2Not measured$1,198Only Kimi K2.5 measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index012
Reasoning benchmarks for GPT-4.1 and Kimi K2.5
BenchmarkGPT-4.1Kimi K2.5Leader
GPQA Diamond65.4%84.1%Kimi K2.5
MMMU Pro (Vals AI)72.4%84.3%Kimi K2.5
GPQA Diamond (Artificial Analysis run)66.6%87.9%Kimi K2.5
Humanity's Last Exam (Artificial Analysis run)4.2%30.7%Kimi K2.5
GPQA Diamond (Epoch AI run)66.9%Not measuredOnly GPT-4.1 measured
ARC-AGI5.5%65.3%Kimi K2.5
ARC-AGI-20.4%11.8%Kimi K2.5
SimpleBench27.0%46.8%Kimi K2.5
Chess puzzles3.0%Not measuredOnly GPT-4.1 measured
LMArena Text: hard prompts13841453Kimi K2.5
LMArena Text: expert13641466Kimi K2.5
LMArena Text: hard prompts in English13931460Kimi K2.5
LMArena Vision: diagrams12151282Kimi K2.5
LMArena Vision: homework12481297Kimi K2.5
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for GPT-4.1 and Kimi K2.5
BenchmarkGPT-4.1Kimi K2.5Leader
AIME39.6%95.6%Kimi K2.5
MATH 500 (Vals AI)87.2%Not measuredOnly GPT-4.1 measured
MGSM (Vals AI)87.7%Not measuredOnly GPT-4.1 measured
AA Math Index34.7Not measuredOnly GPT-4.1 measured
AIME 2025 (Artificial Analysis run)34.7%Not measuredOnly GPT-4.1 measured
OTIS Mock AIME38.3%Not measuredOnly GPT-4.1 measured
FrontierMath, tiers 1 to 36.0%Not measuredOnly GPT-4.1 measured
MATH level 583.0%Not measuredOnly GPT-4.1 measured
LMArena Text: math13691470Kimi K2.5
LMArena Text: mathematical work13601473Kimi K2.5
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index29
Knowledge benchmarks for GPT-4.1 and Kimi K2.5
BenchmarkGPT-4.1Kimi K2.5Leader
MMLU Pro80.5%85.9%Kimi K2.5
LegalBench (Vals AI)83.1%Not measuredOnly GPT-4.1 measured
CaseLaw (Vals AI)69.9%58.7%GPT-4.1
CorpFin (Vals AI)63.0%68.3%Kimi K2.5
TaxEval (Vals AI)75.1%74.2%GPT-4.1
MortgageTax (Vals AI)65.9%66.5%Kimi K2.5
MedQA (Vals AI)91.2%94.4%Kimi K2.5
MedCode (Vals AI)Not measured39.3%Only Kimi K2.5 measured
MMLU Pro (Artificial Analysis run)80.6%Not measuredOnly GPT-4.1 measured
SimpleQA Verified31.1%34.3%Kimi K2.5
GeoBench72.0%Not measuredOnly GPT-4.1 measured
LMArena Text: science13821459Kimi K2.5
LMArena Text: medicine and healthcare13791448Kimi K2.5
LMArena Text: legal and government13991441Kimi K2.5
LMArena Text: business and finance13691427Kimi K2.5
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for GPT-4.1 and Kimi K2.5
BenchmarkGPT-4.1Kimi K2.5Leader
Design Arena: websites10391249Kimi K2.5
Design Arena: UI components10001236Kimi K2.5
Design Arena: game dev10801207Kimi K2.5
Design Arena: data viz11041219Kimi K2.5
Design Arena: 3D8501205Kimi K2.5
Design Arena: all code categories10261236Kimi K2.5
Design Arena: SVGNot measured1149Only Kimi K2.5 measured
Design Arena: ASCII artNot measured1165Only Kimi K2.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index028
General benchmarks for GPT-4.1 and Kimi K2.5
BenchmarkGPT-4.1Kimi K2.5Leader
SAGE (Vals AI)Not measured49.9%Only Kimi K2.5 measured
MedScribe (Vals AI)Not measured76.4%Only Kimi K2.5 measured
IFBench43.0%70.2%Kimi K2.5
Long context reasoning (AA-LCR)68.3%78.0%Kimi K2.5
DTBench68.3%Not measuredOnly GPT-4.1 measured
LMCA25.6%Not measuredOnly GPT-4.1 measured
Fiction.LiveBench63.9%86.1%Kimi K2.5
CL-benchNot measured19.3%Only Kimi K2.5 measured
CL-bench LifeNot measured13.2%Only Kimi K2.5 measured
LMArena Text13831445Kimi K2.5
LMArena Text: instruction following13671431Kimi K2.5
LMArena Text: creative writing13631422Kimi K2.5
LMArena Vision12101269Kimi K2.5
LMArena Text: English13921453Kimi K2.5
LMArena Text: non-English13701433Kimi K2.5
LMArena Text: Chinese13821494Kimi K2.5
LMArena Text: German13811441Kimi K2.5
LMArena Text: Japanese13191423Kimi K2.5
LMArena Text: Korean13381412Kimi K2.5
LMArena Text: French13821454Kimi K2.5
LMArena Text: Spanish13761450Kimi K2.5
LMArena Text: Russian13771435Kimi K2.5
LMArena Text: Polish13891445Kimi K2.5
LMArena Text: multi-turn13971444Kimi K2.5
LMArena Text: longer queries13851445Kimi K2.5
LMArena Text: writing and language13711425Kimi K2.5
LMArena Text: entertainment and media13651417Kimi K2.5
LMArena Vision: English12091274Kimi K2.5
LMArena Vision: Chinese12261328Kimi K2.5
LMArena Vision: reading text12181276Kimi K2.5
LMArena Vision: humor11961284Kimi K2.5
LMArena Vision: captioning12071257Kimi K2.5
LMArena Vision: recognizing things12081285Kimi K2.5
LMArena Vision: creative writing12101269Kimi K2.5
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4.1 and Kimi K2.5
BenchmarkGPT-4.1Kimi K2.5Leader
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-4.1$0.0060Fits in one request
Kimi K2.5$0.0018Fits in one request

Kimi K2.5 costs less

Repository review

50K input + 3K output tokens

GPT-4.1$0.124Fits in one request
Kimi K2.5$0.033Fits in one request

Kimi K2.5 costs less

Agent loop

200K input + 10K output tokens

GPT-4.1$0.480Fits in one request
Kimi K2.5$0.125Fits in one request

Kimi K2.5 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-4.1 and Kimi K2.5
SpecificationOpenAI GPT-4.1MoonshotAI Kimi K2.5
MakerOpenAIMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025January 27, 2026
Context window1.05M262K
Input $/Mtok$2.00$0.50
Output $/Mtok$8.00$2.50
Coding index46.558.5
Independent measurements behind it22
Cost per solved task$0.37$0.24
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 better than Kimi K2.5 for coding?

Pick Kimi K2.5 for coding: it scores 58.5 on the Vibe Coding Index against 46.5 for GPT-4.1. Pick GPT-4.1 when the context window is larger, 1.05M against 262K tokens, or when what matters is CaseLaw (Vals AI) or TaxEval (Vals AI), where it leads.

Which is cheaper, GPT-4.1 or Kimi K2.5?

GPT-4.1 costs $2.00 per million input tokens and $8.00 per million output tokens; Kimi K2.5 costs $0.50 and $2.50. Per solved SWE-bench Verified task, GPT-4.1 costs $0.37 and Kimi K2.5 $0.24.

Which has the bigger context window, GPT-4.1 or Kimi K2.5?

GPT-4.1, with 1.05M tokens against 262K.

How many benchmarks is the GPT-4.1 vs Kimi K2.5 comparison based on?

70 benchmarks have a result for both models as of October 21, 2026. GPT-4.1's coding index rests on 2 independent benchmarks and Kimi K2.5's on 2. Where only one model has a result, the page says so instead of naming a winner.

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