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GPT-4.1 Nano vs Kimi K2 0711

Kimi K2 0711 leads GPT-4.1 Nano on the Artificial Analysis Intelligence Index, 12.7 to 7.8, and GPT-4.1 Nano costs 5.7x less per output token ($0.40 vs $2.30 per million). Updated October 22, 2026; 31 benchmarks have a result for both.

Replace GPT-4.1 Nano Replace Kimi K2 0711
GPT-4.1 NanoOpenAI
Coding
No data
Overall
24.7
Output $/M
$0.40
0
Kimi K2 0711Moonshot AI
Coding
No data
Overall
No data
Output $/M
$2.30
31
vs boards won of 31 shared

GPT-4.1 Nano 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 Nano for output tokens 5.7x cheaper ($0.40 vs $2.30 per million) and a larger context window (1.05M against 131K tokens).

Model AGPT-4.1 NanoOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BKimi K2 0711Moonshot AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
31
GPT-4.1 Nano only
40
Kimi K2 0711 only
6
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 Nano not benchmarked, Kimi K2 0711 not benchmarked.
Widest category
Agentic work, 43.9 points apart on average over 1 shared benchmark.
Widest single gap
Aider polyglot: GPT-4.1 Nano 8.9% against Kimi K2 0711 59.1%, 50.2 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Nano $0.40 against Kimi K2 0711 $2.30 per million output tokens, 5.7x apart.
Context window
GPT-4.1 Nano 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 NanoBarsKimi K2 0711Ties
Coding05
Intelligence02
Agentic work01
Reasoning04
Math05
Knowledge06
Web design05
General03
All shared boards031
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
Coding benchmarks for GPT-4.1 Nano and Kimi K2 0711
BenchmarkGPT-4.1 NanoKimi K2 0711Leader
Aider polyglot8.9%59.1%Kimi K2 0711
SWE-bench VerifiedNot measured71.2%Only Kimi K2 0711 measured
AA Coding Index11.1Not measuredOnly GPT-4.1 Nano measured
LiveCodeBench (Vals AI)42.7%70.5%Kimi K2 0711
LiveCodeBench (Artificial Analysis run)32.6%55.6%Kimi K2 0711
Terminal-Bench Hard (Artificial Analysis run)3.8%15.9%Kimi K2 0711
Terminal-BenchNot measured27.8%Only Kimi K2 0711 measured
GSO-BenchNot measured4.9%Only Kimi K2 0711 measured
WeirdML19.0%39.4%Kimi K2 0711
LMArena Text: coding1306Not measuredOnly GPT-4.1 Nano measured
LMArena Text: software and IT1305Not measuredOnly GPT-4.1 Nano 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 Nano and Kimi K2 0711
BenchmarkGPT-4.1 NanoKimi K2 0711Leader
AA Intelligence Index7.812.7Kimi K2 0711
Epoch Capabilities Index129.5140.0Kimi K2 0711
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-4.1 Nano and Kimi K2 0711
BenchmarkGPT-4.1 NanoKimi K2 0711Leader
τ²-Bench Telecom17.3%61.1%Kimi K2 0711
Berkeley Function Calling Leaderboard (BFCL)33.1%Not measuredOnly GPT-4.1 Nano 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 Nano and Kimi K2 0711
BenchmarkGPT-4.1 NanoKimi K2 0711Leader
GPQA Diamond50.8%71.5%Kimi K2 0711
MMMU Pro (Vals AI)55.0%Not measuredOnly GPT-4.1 Nano measured
GPQA Diamond (Artificial Analysis run)51.2%76.6%Kimi K2 0711
Humanity's Last Exam (Artificial Analysis run)3.8%7.4%Kimi K2 0711
GPQA Diamond (Epoch AI run)48.9%Not measuredOnly GPT-4.1 Nano measured
ARC-AGI0.0%Not measuredOnly GPT-4.1 Nano measured
ARC-AGI-20.0%Not measuredOnly GPT-4.1 Nano measured
SimpleBenchNot measured26.3%Only Kimi K2 0711 measured
Chess puzzles0.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: hard prompts1286Not measuredOnly GPT-4.1 Nano measured
LMArena Text: expert1271Not measuredOnly GPT-4.1 Nano measured
LMArena Text: hard prompts in English1293Not measuredOnly GPT-4.1 Nano measured
Kagi LLM Benchmark33.3%64.4%Kimi K2 0711
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index05
Math benchmarks for GPT-4.1 Nano and Kimi K2 0711
BenchmarkGPT-4.1 NanoKimi K2 0711Leader
AIME26.5%62.7%Kimi K2 0711
MATH 500 (Vals AI)80.2%94.2%Kimi K2 0711
MGSM (Vals AI)69.3%91.0%Kimi K2 0711
AA Math Index24.057.0Kimi K2 0711
AIME 2025 (Artificial Analysis run)24.0%57.0%Kimi K2 0711
OTIS Mock AIME28.9%Not measuredOnly GPT-4.1 Nano measured
MATH level 570.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: math1274Not measuredOnly GPT-4.1 Nano measured
LMArena Text: mathematical work1274Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index06
Knowledge benchmarks for GPT-4.1 Nano and Kimi K2 0711
BenchmarkGPT-4.1 NanoKimi K2 0711Leader
MMLU Pro63.5%79.4%Kimi K2 0711
LegalBench (Vals AI)61.1%81.5%Kimi K2 0711
CorpFin (Vals AI)42.1%50.4%Kimi K2 0711
TaxEval (Vals AI)60.8%70.2%Kimi K2 0711
MortgageTax (Vals AI)52.8%Not measuredOnly GPT-4.1 Nano measured
MedQA (Vals AI)68.2%84.0%Kimi K2 0711
MMLU Pro (Artificial Analysis run)65.7%82.4%Kimi K2 0711
SimpleQA Verified6.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: science1297Not measuredOnly GPT-4.1 Nano measured
LMArena Text: medicine and healthcare1276Not measuredOnly GPT-4.1 Nano measured
LMArena Text: legal and government1300Not measuredOnly GPT-4.1 Nano measured
LMArena Text: business and finance1267Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index05
Web design benchmarks for GPT-4.1 Nano and Kimi K2 0711
BenchmarkGPT-4.1 NanoKimi K2 0711Leader
Design Arena: websites9721050Kimi K2 0711
Design Arena: UI components9131027Kimi K2 0711
Design Arena: game dev970973Kimi K2 0711
Design Arena: data viz8911018Kimi K2 0711
Design Arena: 3D924Not measuredOnly GPT-4.1 Nano measured
Design Arena: all code categories9621033Kimi 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 Nano and Kimi K2 0711
BenchmarkGPT-4.1 NanoKimi K2 0711Leader
IFBench32.0%41.5%Kimi K2 0711
Long context reasoning (AA-LCR)20.3%53.0%Kimi K2 0711
DTBench52.5%Not measuredOnly GPT-4.1 Nano measured
LMCA5.5%Not measuredOnly GPT-4.1 Nano measured
Fiction.LiveBench25.0%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 Text1285Not measuredOnly GPT-4.1 Nano measured
LMArena Text: instruction following1266Not measuredOnly GPT-4.1 Nano measured
LMArena Text: creative writing1260Not measuredOnly GPT-4.1 Nano measured
LMArena Vision1063Not measuredOnly GPT-4.1 Nano measured
LMArena Text: English1303Not measuredOnly GPT-4.1 Nano measured
LMArena Text: non-English1260Not measuredOnly GPT-4.1 Nano measured
LMArena Text: Chinese1270Not measuredOnly GPT-4.1 Nano measured
LMArena Text: German1288Not measuredOnly GPT-4.1 Nano measured
LMArena Text: Japanese1198Not measuredOnly GPT-4.1 Nano measured
LMArena Text: Russian1261Not measuredOnly GPT-4.1 Nano measured
LMArena Text: multi-turn1277Not measuredOnly GPT-4.1 Nano measured
LMArena Text: longer queries1283Not measuredOnly GPT-4.1 Nano measured
LMArena Text: writing and language1261Not measuredOnly GPT-4.1 Nano measured
LMArena Text: entertainment and media1243Not measuredOnly GPT-4.1 Nano measured
LMArena Vision: English1101Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 24 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4.1 Nano and Kimi K2 0711
BenchmarkGPT-4.1 NanoKimi 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 Nano$0.0003Fits in one request
Kimi K2 0711$0.0017Fits in one request

GPT-4.1 Nano costs less

Repository review

50K input + 3K output tokens

GPT-4.1 Nano$0.0062Fits in one request
Kimi K2 0711$0.035Fits in one request

GPT-4.1 Nano costs less

Agent loop

200K input + 10K output tokens

GPT-4.1 Nano$0.024Fits in one request
Kimi K2 0711$0.137Exceeds the context window

GPT-4.1 Nano 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 Nano and Kimi K2 0711
SpecificationOpenAI GPT-4.1 NanoMoonshotAI Kimi K2 0711
MakerOpenAIMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025July 11, 2025
Context window1.05M131K
Input $/Mtok$0.10$0.57
Output $/Mtok$0.40$2.30
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 Nano 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 Nano for output tokens 5.7x cheaper ($0.40 vs $2.30 per million) and a larger context window (1.05M against 131K tokens).

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

GPT-4.1 Nano costs $0.10 per million input tokens and $0.40 per million output tokens; Kimi K2 0711 costs $0.57 and $2.30. Cost per solved task is known for neither of them.

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

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

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

31 benchmarks have a result for both models as of October 22, 2026. GPT-4.1 Nano'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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