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GPT-4.1 Mini vs Kimi K2 0711

Kimi K2 0711 leads GPT-4.1 Mini on the Artificial Analysis Intelligence Index, 12.7 to 10.2, and GPT-4.1 Mini costs 1.4x less per output token ($1.60 vs $2.30 per million). Updated October 21, 2026; 32 benchmarks have a result for both.

Replace GPT-4.1 Mini Replace Kimi K2 0711
GPT-4.1 MiniOpenAI
Coding
No data
Overall
31.9
Output $/M
$1.60
5
Kimi K2 0711Moonshot AI
Coding
No data
Overall
No data
Output $/M
$2.30
27
vs boards won of 32 shared

GPT-4.1 Mini or Kimi K2 0711: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick GPT-4.1 Mini for output tokens 1.4x cheaper ($1.60 vs $2.30 per million) and a larger context window (1.05M against 131K tokens).

Model AGPT-4.1 MiniOpenAINot benchmarkedNo coding benchmark$1.818 per solved taskModel BKimi K2 0711Moonshot AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
32
GPT-4.1 Mini only
54
Kimi K2 0711 only
5
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-4.1 Mini not benchmarked, Kimi K2 0711 not benchmarked.
Widest category
Coding, 17.3 points apart on average over 6 shared benchmarks.
Widest single gap
SWE-bench Verified: GPT-4.1 Mini 23.9% against Kimi K2 0711 71.2%, 47.3 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Mini $1.60 against Kimi K2 0711 $2.30 per million output tokens, 1.4x apart.
Context window
GPT-4.1 Mini takes 1.05M tokens, Kimi K2 0711 131K.

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-4.1 MiniBarsKimi K2 0711Ties
Coding06
Intelligence02
Agentic work01
Reasoning04
Math05
Knowledge33
Web design23
General03
All shared boards527
CodingLike-for-likeSix of these boards feed the Vibe Coding Index06
Coding benchmarks for GPT-4.1 Mini and Kimi K2 0711
BenchmarkGPT-4.1 MiniKimi K2 0711Leader
Aider polyglot32.4%59.1%Kimi K2 0711
SWE-bench Verified23.9%71.2%Kimi K2 0711
AA Coding Index20.2Not measuredOnly GPT-4.1 Mini measured
LiveCodeBench (Vals AI)58.2%70.5%Kimi K2 0711
LiveCodeBench (Artificial Analysis run)48.3%55.6%Kimi K2 0711
Terminal-Bench Hard (Artificial Analysis run)7.6%15.9%Kimi K2 0711
Terminal-BenchNot measured27.8%Only Kimi K2 0711 measured
GSO-BenchNot measured4.9%Only Kimi K2 0711 measured
WeirdML37.6%39.4%Kimi K2 0711
LMArena Text: coding1367Not measuredOnly GPT-4.1 Mini measured
LMArena Text: software and IT1360Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-4.1 Mini and Kimi K2 0711
BenchmarkGPT-4.1 MiniKimi K2 0711Leader
AA Intelligence Index10.212.7Kimi K2 0711
Epoch Capabilities Index134.9140.0Kimi K2 0711
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-4.1 Mini and Kimi K2 0711
BenchmarkGPT-4.1 MiniKimi K2 0711Leader
τ²-Bench Telecom52.9%61.1%Kimi K2 0711
Berkeley Function Calling Leaderboard (BFCL)50.4%Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for GPT-4.1 Mini and Kimi K2 0711
BenchmarkGPT-4.1 MiniKimi K2 0711Leader
GPQA Diamond67.9%71.5%Kimi K2 0711
MMMU Pro (Vals AI)70.5%Not measuredOnly GPT-4.1 Mini measured
GPQA Diamond (Artificial Analysis run)66.4%76.6%Kimi K2 0711
Humanity's Last Exam (Artificial Analysis run)5.0%7.4%Kimi K2 0711
GPQA Diamond (Epoch AI run)65.8%Not measuredOnly GPT-4.1 Mini measured
ARC-AGI3.5%Not measuredOnly GPT-4.1 Mini measured
ARC-AGI-20.0%Not measuredOnly GPT-4.1 Mini measured
SimpleBenchNot measured26.3%Only Kimi K2 0711 measured
Chess puzzles1.0%Not measuredOnly GPT-4.1 Mini measured
Mystery game puzzles7.0%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: hard prompts1349Not measuredOnly GPT-4.1 Mini measured
LMArena Text: expert1338Not measuredOnly GPT-4.1 Mini measured
LMArena Text: hard prompts in English1362Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: diagrams1182Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: homework1214Not measuredOnly GPT-4.1 Mini measured
Kagi LLM Benchmark48.6%64.4%Kimi K2 0711
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index05
Math benchmarks for GPT-4.1 Mini and Kimi K2 0711
BenchmarkGPT-4.1 MiniKimi K2 0711Leader
AIME49.4%62.7%Kimi K2 0711
MATH 500 (Vals AI)88.0%94.2%Kimi K2 0711
MGSM (Vals AI)87.8%91.0%Kimi K2 0711
AA Math Index46.357.0Kimi K2 0711
AIME 2025 (Artificial Analysis run)46.3%57.0%Kimi K2 0711
OTIS Mock AIME44.7%Not measuredOnly GPT-4.1 Mini measured
FrontierMath, tiers 1 to 36.7%Not measuredOnly GPT-4.1 Mini measured
MATH level 587.3%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: math1343Not measuredOnly GPT-4.1 Mini measured
LMArena Text: mathematical work1347Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index33
Knowledge benchmarks for GPT-4.1 Mini and Kimi K2 0711
BenchmarkGPT-4.1 MiniKimi K2 0711Leader
MMLU Pro77.2%79.4%Kimi K2 0711
LegalBench (Vals AI)78.0%81.5%Kimi K2 0711
CorpFin (Vals AI)57.9%50.4%GPT-4.1 Mini
TaxEval (Vals AI)71.9%70.2%GPT-4.1 Mini
MortgageTax (Vals AI)65.5%Not measuredOnly GPT-4.1 Mini measured
MedQA (Vals AI)84.6%84.0%GPT-4.1 Mini
MMLU Pro (Artificial Analysis run)78.1%82.4%Kimi K2 0711
SimpleQA Verified12.7%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: science1328Not measuredOnly GPT-4.1 Mini measured
LMArena Text: medicine and healthcare1324Not measuredOnly GPT-4.1 Mini measured
LMArena Text: legal and government1343Not measuredOnly GPT-4.1 Mini measured
LMArena Text: business and finance1322Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index23
Web design benchmarks for GPT-4.1 Mini and Kimi K2 0711
BenchmarkGPT-4.1 MiniKimi K2 0711Leader
Design Arena: websites9971050Kimi K2 0711
Design Arena: UI components9611030Kimi K2 0711
Design Arena: game dev1071974GPT-4.1 Mini
Design Arena: data viz10341018GPT-4.1 Mini
Design Arena: 3D837Not measuredOnly GPT-4.1 Mini measured
Design Arena: all code categories9941033Kimi K2 0711
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index03
General benchmarks for GPT-4.1 Mini and Kimi K2 0711
BenchmarkGPT-4.1 MiniKimi K2 0711Leader
IFBench38.3%41.5%Kimi K2 0711
Long context reasoning (AA-LCR)44.0%53.0%Kimi K2 0711
DTBench68.8%Not measuredOnly GPT-4.1 Mini measured
LMCA21.1%Not measuredOnly GPT-4.1 Mini measured
Fiction.LiveBench44.4%61.1%Kimi K2 0711
Creative writing (Lech Mazur)Not measured85.6%Only Kimi K2 0711 measured
CL-benchNot measured11.9%Only Kimi K2 0711 measured
LMArena Text1341Not measuredOnly GPT-4.1 Mini measured
LMArena Text: instruction following1333Not measuredOnly GPT-4.1 Mini measured
LMArena Text: creative writing1299Not measuredOnly GPT-4.1 Mini measured
LMArena Vision1181Not measuredOnly GPT-4.1 Mini measured
LMArena Text: English1356Not measuredOnly GPT-4.1 Mini measured
LMArena Text: non-English1318Not measuredOnly GPT-4.1 Mini measured
LMArena Text: Chinese1329Not measuredOnly GPT-4.1 Mini measured
LMArena Text: German1350Not measuredOnly GPT-4.1 Mini measured
LMArena Text: Japanese1290Not measuredOnly GPT-4.1 Mini measured
LMArena Text: Korean1298Not measuredOnly GPT-4.1 Mini measured
LMArena Text: French1358Not measuredOnly GPT-4.1 Mini measured
LMArena Text: Spanish1319Not measuredOnly GPT-4.1 Mini measured
LMArena Text: Russian1324Not measuredOnly GPT-4.1 Mini measured
LMArena Text: Polish1326Not measuredOnly GPT-4.1 Mini measured
LMArena Text: multi-turn1354Not measuredOnly GPT-4.1 Mini measured
LMArena Text: longer queries1344Not measuredOnly GPT-4.1 Mini measured
LMArena Text: writing and language1319Not measuredOnly GPT-4.1 Mini measured
LMArena Text: entertainment and media1300Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: English1191Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: Chinese1186Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: reading text1188Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: humor1182Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: captioning1174Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: recognizing things1187Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: creative writing1182Not measuredOnly GPT-4.1 Mini 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-4.1 Mini and Kimi K2 0711
BenchmarkGPT-4.1 MiniKimi K2 0711Leader
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 Mini$0.0012Fits in one request
Kimi K2 0711$0.0017Fits in one request

GPT-4.1 Mini costs less

Repository review

50K input + 3K output tokens

GPT-4.1 Mini$0.025Fits in one request
Kimi K2 0711$0.035Fits in one request

GPT-4.1 Mini costs less

Agent loop

200K input + 10K output tokens

GPT-4.1 Mini$0.096Fits in one request
Kimi K2 0711$0.137Exceeds the context window

GPT-4.1 Mini 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 Mini and Kimi K2 0711
SpecificationOpenAI GPT-4.1 MiniMoonshotAI Kimi K2 0711
MakerOpenAIMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025July 11, 2025
Context window1.05M131K
Input $/Mtok$0.40$0.57
Output $/Mtok$1.60$2.30
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved task$1.818Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 Mini better than Kimi K2 0711 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4.1 Mini for output tokens 1.4x cheaper ($1.60 vs $2.30 per million) and a larger context window (1.05M against 131K tokens).

Which is cheaper, GPT-4.1 Mini or Kimi K2 0711?

GPT-4.1 Mini costs $0.40 per million input tokens and $1.60 per million output tokens; Kimi K2 0711 costs $0.57 and $2.30. Cost per solved task is known for GPT-4.1 Mini only.

Which has the bigger context window, GPT-4.1 Mini or Kimi K2 0711?

GPT-4.1 Mini, with 1.05M tokens against 131K.

How many benchmarks is the GPT-4.1 Mini vs Kimi K2 0711 comparison based on?

32 benchmarks have a result for both models as of October 21, 2026. GPT-4.1 Mini's coding index rests on 0 independent benchmarks and Kimi K2 0711's on 0. Where only one model has a result, the page says so instead of naming a winner.

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