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GPT-5 Nano vs Kimi K2.7 Code

Kimi K2.7 Code leads GPT-5 Nano on the Artificial Analysis Intelligence Index, 25.8 to 13.0, and GPT-5 Nano costs 10.0x less per output token ($0.40 vs $4.00 per million). Updated October 22, 2026; 22 benchmarks have a result for both.

Replace GPT-5 Nano Replace Kimi K2.7 Code
GPT-5 NanoOpenAI
Coding
No data
Overall
35.6
Output $/M
$0.40
2
Kimi K2.7 CodeMoonshot AI
Coding
53.4
Overall
56.7
Output $/M
$4.00
20
vs boards won of 22 shared

GPT-5 Nano or Kimi K2.7 Code: which to pick

Only Kimi K2.7 Code has a coding score, 53.4 on the Vibe Coding Index; GPT-5 Nano has none, so the two cannot be ranked on coding.

Pick GPT-5 Nano for output tokens 10.0x cheaper ($0.40 vs $4.00 per million) and a lower cost per solved task ($0.109 against $0.35).

Model AGPT-5 NanoOpenAINot benchmarkedNo coding benchmark$0.109 per solved taskModel BKimi K2.7 CodeMoonshot AI53.4/1004 independent benchmarks$0.35 per solved task
Shared results
22
GPT-5 Nano only
65
Kimi K2.7 Code only
29
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-5 Nano not benchmarked, Kimi K2.7 Code 53.4 from 4 benchmarks.
Widest category
Agentic work, 53.5 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GPT-5 Nano 36.5% against Kimi K2.7 Code 90.1%, 53.5 points apart on a 0 to 100 scale.
Output price
GPT-5 Nano $0.40 against Kimi K2.7 Code $4.00 per million output tokens, 10.0x apart.
Context window
GPT-5 Nano takes 400K tokens, Kimi K2.7 Code 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-5 NanoBarsKimi K2.7 CodeTies
Coding03
Intelligence02
Agentic work01
Reasoning13
Math03
Knowledge01
Web design06
General11
All shared boards220
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for GPT-5 Nano and Kimi K2.7 Code
BenchmarkGPT-5 NanoKimi K2.7 CodeLeader
SWE-bench Verified34.8%Not measuredOnly GPT-5 Nano measured
LMArena WebDevNot measured1474Only Kimi K2.7 Code measured
AA Coding IndexNot measured60.8Only Kimi K2.7 Code measured
LiveCodeBench (Vals AI)70.2%82.0%Kimi K2.7 Code
SWE-bench Verified (Vals AI)Not measured78.2%Only Kimi K2.7 Code measured
Vibe Code Bench (Vals AI)Not measured47.2%Only Kimi K2.7 Code measured
Code migration (Vals AI)Not measured25.4%Only Kimi K2.7 Code measured
ProgramBench (Vals AI)Not measured0.0%Only Kimi K2.7 Code measured
Terminal-Bench 2.1 (Vals AI)Not measured67.0%Only Kimi K2.7 Code measured
SkillsBench (Vals AI)Not measured50.0%Only Kimi K2.7 Code measured
LiveCodeBench (Artificial Analysis run)78.9%Not measuredOnly GPT-5 Nano measured
SciCodeNot measured47.8%Only Kimi K2.7 Code measured
Terminal-Bench Hard (Artificial Analysis run)17.4%44.7%Kimi K2.7 Code
Terminal-Bench21.8%Not measuredOnly GPT-5 Nano measured
FrontierCodeNot measured30.1%Only Kimi K2.7 Code measured
WeirdML38.1%54.1%Kimi K2.7 Code
ALE-BenchNot measured886.2Only Kimi K2.7 Code measured
LMArena Text: coding1351Not measuredOnly GPT-5 Nano measured
LMArena Text: software and IT1345Not measuredOnly GPT-5 Nano measured
LMArena WebDev: ReactNot measured1475Only Kimi K2.7 Code measured
LMArena WebDev: HTMLNot measured1451Only Kimi K2.7 Code measured
LMArena WebDev: from an imageNot measured1513Only Kimi K2.7 Code 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-5 Nano and Kimi K2.7 Code
BenchmarkGPT-5 NanoKimi K2.7 CodeLeader
AA Intelligence Index13.025.8Kimi K2.7 Code
Epoch Capabilities Index139.2150.1Kimi K2.7 Code
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-5 Nano and Kimi K2.7 Code
BenchmarkGPT-5 NanoKimi K2.7 CodeLeader
AA Agentic IndexNot measured21.0Only Kimi K2.7 Code measured
Design Arena: agents building web appsNot measured1176Only Kimi K2.7 Code measured
Design Arena: agents building full-stack appsNot measured1175Only Kimi K2.7 Code measured
Design Arena: agents building mobile appsNot measured1143Only Kimi K2.7 Code measured
Design Arena: agents building Android appsNot measured1138Only Kimi K2.7 Code measured
Design Arena: agents building Godot gamesNot measured1147Only Kimi K2.7 Code measured
Design Arena: agents building gamesNot measured1130Only Kimi K2.7 Code measured
Design Arena: HTML slidesNot measured1151Only Kimi K2.7 Code measured
Design Arena: PowerPoint slidesNot measured1129Only Kimi K2.7 Code measured
τ²-Bench Telecom36.5%90.1%Kimi K2.7 Code
APEX-AgentsNot measured37.6%Only Kimi K2.7 Code measured
Vending-Bench 2Not measured$5,083Only Kimi K2.7 Code measured
Berkeley Function Calling Leaderboard (BFCL)51.4%Not measuredOnly GPT-5 Nano measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index13
Reasoning benchmarks for GPT-5 Nano and Kimi K2.7 Code
BenchmarkGPT-5 NanoKimi K2.7 CodeLeader
GPQA Diamond63.4%Not measuredOnly GPT-5 Nano measured
MMMU Pro (Vals AI)70.9%Not measuredOnly GPT-5 Nano measured
GPQA Diamond (Artificial Analysis run)67.6%89.6%Kimi K2.7 Code
Humanity's Last Exam (Artificial Analysis run)9.5%35.0%Kimi K2.7 Code
GPQA Diamond (Epoch AI run)69.4%87.9%Kimi K2.7 Code
ARC-AGI20.7%Not measuredOnly GPT-5 Nano measured
ARC-AGI-22.6%Not measuredOnly GPT-5 Nano measured
SimpleBenchNot measured57.9%Only Kimi K2.7 Code measured
Chess puzzles22.0%14.0%GPT-5 Nano
Mystery game puzzles9.0%Not measuredOnly GPT-5 Nano measured
VPCT37.2%Not measuredOnly GPT-5 Nano measured
LMArena Text: hard prompts1328Not measuredOnly GPT-5 Nano measured
LMArena Text: expert1321Not measuredOnly GPT-5 Nano measured
LMArena Text: hard prompts in English1338Not measuredOnly GPT-5 Nano measured
LMArena Vision: diagrams1141Not measuredOnly GPT-5 Nano measured
LMArena Vision: homework1157Not measuredOnly GPT-5 Nano measured
Kagi LLM Benchmark62.2%Not measuredOnly GPT-5 Nano measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for GPT-5 Nano and Kimi K2.7 Code
BenchmarkGPT-5 NanoKimi K2.7 CodeLeader
AIME81.2%Not measuredOnly GPT-5 Nano measured
MATH 500 (Vals AI)93.8%Not measuredOnly GPT-5 Nano measured
MGSM (Vals AI)89.3%Not measuredOnly GPT-5 Nano measured
AA Math Index83.7Not measuredOnly GPT-5 Nano measured
AIME 2025 (Artificial Analysis run)83.7%Not measuredOnly GPT-5 Nano measured
OTIS Mock AIME81.1%95.6%Kimi K2.7 Code
FrontierMath, tiers 1 to 320.0%54.0%Kimi K2.7 Code
FrontierMath, tier 42.4%12.2%Kimi K2.7 Code
ProofBench12.0%Not measuredOnly GPT-5 Nano measured
MATH level 595.2%Not measuredOnly GPT-5 Nano measured
LMArena Text: math1317Not measuredOnly GPT-5 Nano measured
LMArena Text: mathematical work1326Not measuredOnly GPT-5 Nano measured
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
Knowledge benchmarks for GPT-5 Nano and Kimi K2.7 Code
BenchmarkGPT-5 NanoKimi K2.7 CodeLeader
MMLU Pro76.1%Not measuredOnly GPT-5 Nano measured
LegalBench (Vals AI)50.1%Not measuredOnly GPT-5 Nano measured
CaseLaw (Vals AI)52.6%Not measuredOnly GPT-5 Nano measured
TaxEval (Vals AI)67.4%Not measuredOnly GPT-5 Nano measured
MortgageTax (Vals AI)53.6%Not measuredOnly GPT-5 Nano measured
MedQA (Vals AI)93.3%Not measuredOnly GPT-5 Nano measured
MedCode (Vals AI)30.4%Not measuredOnly GPT-5 Nano measured
MMLU Pro (Artificial Analysis run)78.0%Not measuredOnly GPT-5 Nano measured
SimpleQA Verified11.7%36.5%Kimi K2.7 Code
LMArena Text: science1318Not measuredOnly GPT-5 Nano measured
LMArena Text: medicine and healthcare1335Not measuredOnly GPT-5 Nano measured
LMArena Text: legal and government1298Not measuredOnly GPT-5 Nano measured
LMArena Text: business and finance1311Not measuredOnly GPT-5 Nano measured
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for GPT-5 Nano and Kimi K2.7 Code
BenchmarkGPT-5 NanoKimi K2.7 CodeLeader
Design Arena: websites11011263Kimi K2.7 Code
Design Arena: UI components10641255Kimi K2.7 Code
Design Arena: game dev10441220Kimi K2.7 Code
Design Arena: data viz10561227Kimi K2.7 Code
Design Arena: 3D9651240Kimi K2.7 Code
Design Arena: all code categories10841252Kimi K2.7 Code
Design Arena: SVGNot measured1176Only Kimi K2.7 Code measured
Design Arena: ASCII artNot measured1196Only Kimi K2.7 Code measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index11
General benchmarks for GPT-5 Nano and Kimi K2.7 Code
BenchmarkGPT-5 NanoKimi K2.7 CodeLeader
SAGE (Vals AI)30.4%Not measuredOnly GPT-5 Nano measured
MedScribe (Vals AI)72.9%Not measuredOnly GPT-5 Nano measured
IFBench67.6%63.1%GPT-5 Nano
Long context reasoning (AA-LCR)45.0%79.3%Kimi K2.7 Code
DTBench62.7%Not measuredOnly GPT-5 Nano measured
LMCA7.9%Not measuredOnly GPT-5 Nano measured
Fiction.LiveBench44.4%Not measuredOnly GPT-5 Nano measured
Surface Evolver BenchNot measured48.8%Only Kimi K2.7 Code measured
LMArena Text1320Not measuredOnly GPT-5 Nano measured
LMArena Text: instruction following1306Not measuredOnly GPT-5 Nano measured
LMArena Text: creative writing1249Not measuredOnly GPT-5 Nano measured
LMArena Vision1159Not measuredOnly GPT-5 Nano measured
LMArena Text: English1321Not measuredOnly GPT-5 Nano measured
LMArena Text: non-English1313Not measuredOnly GPT-5 Nano measured
LMArena Text: Chinese1356Not measuredOnly GPT-5 Nano measured
LMArena Text: German1327Not measuredOnly GPT-5 Nano measured
LMArena Text: Japanese1227Not measuredOnly GPT-5 Nano measured
LMArena Text: Korean1269Not measuredOnly GPT-5 Nano measured
LMArena Text: Spanish1360Not measuredOnly GPT-5 Nano measured
LMArena Text: Russian1296Not measuredOnly GPT-5 Nano measured
LMArena Text: Polish1314Not measuredOnly GPT-5 Nano measured
LMArena Text: multi-turn1311Not measuredOnly GPT-5 Nano measured
LMArena Text: longer queries1312Not measuredOnly GPT-5 Nano measured
LMArena Text: writing and language1283Not measuredOnly GPT-5 Nano measured
LMArena Text: entertainment and media1268Not measuredOnly GPT-5 Nano measured
LMArena Vision: English1170Not measuredOnly GPT-5 Nano measured
LMArena Vision: Chinese1176Not measuredOnly GPT-5 Nano measured
LMArena Vision: reading text1152Not measuredOnly GPT-5 Nano measured
LMArena Vision: humor1110Not measuredOnly GPT-5 Nano measured
Neither model has a result on the other 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5 Nano and Kimi K2.7 Code
BenchmarkGPT-5 NanoKimi K2.7 CodeLeader
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-5 Nano$0.0003Fits in one request
Kimi K2.7 Code$0.0029Fits in one request

GPT-5 Nano costs less

Repository review

50K input + 3K output tokens

GPT-5 Nano$0.0037Fits in one request
Kimi K2.7 Code$0.059Fits in one request

GPT-5 Nano costs less

Agent loop

200K input + 10K output tokens

GPT-5 Nano$0.014Fits in one request
Kimi K2.7 Code$0.230Fits in one request

GPT-5 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-5 Nano and Kimi K2.7 Code
SpecificationOpenAI GPT-5 NanoMoonshotAI Kimi K2.7 Code
MakerOpenAIMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedAugust 7, 2025June 12, 2026
Context window400K262K
Input $/Mtok$0.05$0.95
Output $/Mtok$0.40$4.00
Coding indexNot benchmarked53.4
Independent measurements behind it04
Cost per solved task$0.109$0.35
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5 Nano better than Kimi K2.7 Code for coding?

Only Kimi K2.7 Code has a coding score, 53.4 on the Vibe Coding Index; GPT-5 Nano has none, so the two cannot be ranked on coding. Pick GPT-5 Nano for output tokens 10.0x cheaper ($0.40 vs $4.00 per million) and a lower cost per solved task ($0.109 against $0.35).

Which is cheaper, GPT-5 Nano or Kimi K2.7 Code?

GPT-5 Nano costs $0.05 per million input tokens and $0.40 per million output tokens; Kimi K2.7 Code costs $0.95 and $4.00. Per solved SWE-bench Verified task, GPT-5 Nano costs $0.109 and Kimi K2.7 Code $0.35.

Which has the bigger context window, GPT-5 Nano or Kimi K2.7 Code?

GPT-5 Nano, with 400K tokens against 262K.

How many benchmarks is the GPT-5 Nano vs Kimi K2.7 Code comparison based on?

22 benchmarks have a result for both models as of October 22, 2026. GPT-5 Nano's coding index rests on 0 independent benchmarks and Kimi K2.7 Code's on 4. Where only one model has a result, the page says so instead of naming a winner.

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