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GPT-5 Mini vs Kimi K2.7 Code

Kimi K2.7 Code leads GPT-5 Mini on coding, 53.4 to 34.2 on the Vibe Coding Index, and GPT-5 Mini costs 2.0x less per output token ($2.00 vs $4.00 per million). Updated October 22, 2026; 28 benchmarks have a result for both.

Replace GPT-5 Mini Replace Kimi K2.7 Code
GPT-5 MiniOpenAI
Coding
34.2
Overall
43.7
Output $/M
$2.00
3
Kimi K2.7 CodeMoonshot AI
Coding
53.4
Overall
56.7
Output $/M
$4.00
24
vs boards won of 28 shared, 1 tied

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

Pick Kimi K2.7 Code for coding: it scores 53.4 on the Vibe Coding Index against 34.2 for GPT-5 Mini.

Pick GPT-5 Mini for output tokens 2.0x cheaper ($2.00 vs $4.00 per million) and a lower cost per solved task ($0.08 against $0.35).

Model AGPT-5 MiniOpenAI34.2/1002 independent benchmarks$0.08 per solved taskModel BKimi K2.7 CodeMoonshot AI53.4/1004 independent benchmarks$0.35 per solved task
Shared results
28
GPT-5 Mini only
75
Kimi K2.7 Code only
23
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 Mini 34.2 from 2 benchmarks, Kimi K2.7 Code 53.4 from 4 benchmarks.
Widest category
Agentic work, 25.4 points apart on average over 2 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GPT-5 Mini 14.2% against Kimi K2.7 Code 47.2%, 33.0 points apart on a 0 to 100 scale.
Output price
GPT-5 Mini $2.00 against Kimi K2.7 Code $4.00 per million output tokens, 2.0x apart.
Context window
GPT-5 Mini 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 MiniBarsKimi K2.7 CodeTies
Coding15
Intelligence02
Agentic work02
Reasoning13
Math021 tie
Knowledge01
Web design08
General11
All shared boards3241 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index15
Coding benchmarks for GPT-5 Mini and Kimi K2.7 Code
BenchmarkGPT-5 MiniKimi K2.7 CodeLeader
SWE-bench Verified59.8%Not measuredOnly GPT-5 Mini measured
SWE-bench Multilingual39.7%Not measuredOnly GPT-5 Mini measured
LMArena WebDevNot measured1474Only Kimi K2.7 Code measured
AA Coding IndexNot measured60.8Only Kimi K2.7 Code measured
LiveCodeBench (Vals AI)86.6%82.0%GPT-5 Mini
SWE-bench Verified (Vals AI)60.8%78.2%Kimi K2.7 Code
Vibe Code Bench (Vals AI)14.2%47.2%Kimi K2.7 Code
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)83.8%Not measuredOnly GPT-5 Mini measured
SciCode39.0%47.8%Kimi K2.7 Code
Terminal-Bench Hard (Artificial Analysis run)33.3%44.7%Kimi K2.7 Code
Terminal-Bench34.8%Not measuredOnly GPT-5 Mini measured
FrontierCodeNot measured30.1%Only Kimi K2.7 Code measured
WeirdML52.7%54.1%Kimi K2.7 Code
ALE-BenchNot measured886.2Only Kimi K2.7 Code measured
LMArena Text: coding1406Not measuredOnly GPT-5 Mini measured
LMArena Text: software and IT1394Not measuredOnly GPT-5 Mini 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 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-5 Mini and Kimi K2.7 Code
BenchmarkGPT-5 MiniKimi K2.7 CodeLeader
AA Intelligence Index20.625.8Kimi K2.7 Code
Epoch Capabilities Index145.3150.1Kimi K2.7 Code
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for GPT-5 Mini and Kimi K2.7 Code
BenchmarkGPT-5 MiniKimi 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 measured1142Only Kimi K2.7 Code measured
Design Arena: agents building Android appsNot measured1137Only 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 measured1140Only Kimi K2.7 Code measured
Design Arena: PowerPoint slidesNot measured1128Only Kimi K2.7 Code measured
τ²-Bench Telecom71.1%90.1%Kimi K2.7 Code
APEX-AgentsNot measured37.6%Only Kimi K2.7 Code measured
Vending-Bench 2-$31$5,083Kimi K2.7 Code
Berkeley Function Calling Leaderboard (BFCL)55.5%Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index13
Reasoning benchmarks for GPT-5 Mini and Kimi K2.7 Code
BenchmarkGPT-5 MiniKimi K2.7 CodeLeader
GPQA Diamond80.3%Not measuredOnly GPT-5 Mini measured
MMMU Pro (Vals AI)78.9%Not measuredOnly GPT-5 Mini measured
GPQA Diamond (Artificial Analysis run)82.8%89.6%Kimi K2.7 Code
Humanity's Last Exam (Artificial Analysis run)21.5%35.0%Kimi K2.7 Code
GPQA Diamond (Epoch AI run)75.0%87.9%Kimi K2.7 Code
ARC-AGI54.3%Not measuredOnly GPT-5 Mini measured
ARC-AGI-24.4%Not measuredOnly GPT-5 Mini measured
SimpleBenchNot measured57.9%Only Kimi K2.7 Code measured
Chess puzzles24.0%14.0%GPT-5 Mini
Mystery game puzzles10.0%Not measuredOnly GPT-5 Mini measured
VPCT40.2%Not measuredOnly GPT-5 Mini measured
LMArena Text: hard prompts1380Not measuredOnly GPT-5 Mini measured
LMArena Text: expert1379Not measuredOnly GPT-5 Mini measured
LMArena Text: hard prompts in English1383Not measuredOnly GPT-5 Mini measured
LMArena Vision: diagrams1202Not measuredOnly GPT-5 Mini measured
LMArena Vision: homework1210Not measuredOnly GPT-5 Mini measured
Kagi LLM Benchmark70.3%Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-5 Mini and Kimi K2.7 Code
BenchmarkGPT-5 MiniKimi K2.7 CodeLeader
AIME91.5%Not measuredOnly GPT-5 Mini measured
MATH 500 (Vals AI)94.8%Not measuredOnly GPT-5 Mini measured
MGSM (Vals AI)92.6%Not measuredOnly GPT-5 Mini measured
AA Math Index90.7Not measuredOnly GPT-5 Mini measured
AIME 2025 (Artificial Analysis run)90.7%Not measuredOnly GPT-5 Mini measured
OTIS Mock AIME86.7%95.6%Kimi K2.7 Code
FrontierMath, tiers 1 to 346.7%54.0%Kimi K2.7 Code
FrontierMath, tier 412.2%12.2%Tie
ProofBench9.0%Not measuredOnly GPT-5 Mini measured
MATH level 597.8%Not measuredOnly GPT-5 Mini measured
LMArena Text: math1378Not measuredOnly GPT-5 Mini measured
LMArena Text: mathematical work1380Not measuredOnly GPT-5 Mini measured
MathArena14.8%Not measuredOnly GPT-5 Mini 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 Mini and Kimi K2.7 Code
BenchmarkGPT-5 MiniKimi K2.7 CodeLeader
MMLU Pro82.2%Not measuredOnly GPT-5 Mini measured
LegalBench (Vals AI)81.8%Not measuredOnly GPT-5 Mini measured
CaseLaw (Vals AI)68.5%Not measuredOnly GPT-5 Mini measured
CorpFin (Vals AI)60.2%Not measuredOnly GPT-5 Mini measured
TaxEval (Vals AI)75.2%Not measuredOnly GPT-5 Mini measured
MortgageTax (Vals AI)66.9%Not measuredOnly GPT-5 Mini measured
MedQA (Vals AI)96.1%Not measuredOnly GPT-5 Mini measured
MedCode (Vals AI)43.0%Not measuredOnly GPT-5 Mini measured
MMLU Pro (Artificial Analysis run)83.7%Not measuredOnly GPT-5 Mini measured
SimpleQA Verified21.6%36.5%Kimi K2.7 Code
LMArena Text: science1371Not measuredOnly GPT-5 Mini measured
LMArena Text: medicine and healthcare1380Not measuredOnly GPT-5 Mini measured
LMArena Text: legal and government1375Not measuredOnly GPT-5 Mini measured
LMArena Text: business and finance1358Not measuredOnly GPT-5 Mini measured
FACTS Benchmark Suite38.6%Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for GPT-5 Mini and Kimi K2.7 Code
BenchmarkGPT-5 MiniKimi K2.7 CodeLeader
Design Arena: websites11251264Kimi K2.7 Code
Design Arena: UI components11031255Kimi K2.7 Code
Design Arena: game dev11291219Kimi K2.7 Code
Design Arena: data viz11311227Kimi K2.7 Code
Design Arena: 3D10361240Kimi K2.7 Code
Design Arena: all code categories11141252Kimi K2.7 Code
Design Arena: SVG10901176Kimi K2.7 Code
Design Arena: ASCII art11251196Kimi K2.7 Code
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 Mini and Kimi K2.7 Code
BenchmarkGPT-5 MiniKimi K2.7 CodeLeader
SAGE (Vals AI)43.0%Not measuredOnly GPT-5 Mini measured
MedScribe (Vals AI)80.6%Not measuredOnly GPT-5 Mini measured
IFBench75.4%63.1%GPT-5 Mini
Long context reasoning (AA-LCR)72.3%79.3%Kimi K2.7 Code
DTBench80.5%Not measuredOnly GPT-5 Mini measured
LMCA34.2%Not measuredOnly GPT-5 Mini measured
Fiction.LiveBench69.4%Not measuredOnly GPT-5 Mini measured
Creative writing (Lech Mazur)83.1%Not measuredOnly GPT-5 Mini measured
Surface Evolver BenchNot measured48.8%Only Kimi K2.7 Code measured
LMArena Text1373Not measuredOnly GPT-5 Mini measured
LMArena Text: instruction following1357Not measuredOnly GPT-5 Mini measured
LMArena Text: creative writing1325Not measuredOnly GPT-5 Mini measured
LMArena Vision1202Not measuredOnly GPT-5 Mini measured
LMArena Text: English1379Not measuredOnly GPT-5 Mini measured
LMArena Text: non-English1363Not measuredOnly GPT-5 Mini measured
LMArena Text: Chinese1386Not measuredOnly GPT-5 Mini measured
LMArena Text: German1366Not measuredOnly GPT-5 Mini measured
LMArena Text: Japanese1341Not measuredOnly GPT-5 Mini measured
LMArena Text: Korean1308Not measuredOnly GPT-5 Mini measured
LMArena Text: French1386Not measuredOnly GPT-5 Mini measured
LMArena Text: Spanish1354Not measuredOnly GPT-5 Mini measured
LMArena Text: Russian1362Not measuredOnly GPT-5 Mini measured
LMArena Text: Polish1378Not measuredOnly GPT-5 Mini measured
LMArena Text: multi-turn1363Not measuredOnly GPT-5 Mini measured
LMArena Text: longer queries1355Not measuredOnly GPT-5 Mini measured
LMArena Text: writing and language1344Not measuredOnly GPT-5 Mini measured
LMArena Text: entertainment and media1340Not measuredOnly GPT-5 Mini measured
LMArena Vision: English1216Not measuredOnly GPT-5 Mini measured
LMArena Vision: Chinese1214Not measuredOnly GPT-5 Mini measured
LMArena Vision: reading text1199Not measuredOnly GPT-5 Mini measured
LMArena Vision: humor1205Not measuredOnly GPT-5 Mini measured
LMArena Vision: captioning1217Not measuredOnly GPT-5 Mini measured
LMArena Vision: recognizing things1226Not measuredOnly GPT-5 Mini measured
LMArena Vision: creative writing1181Not measuredOnly GPT-5 Mini measured
MultiChallenge59.0%Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5 Mini and Kimi K2.7 Code
BenchmarkGPT-5 MiniKimi 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 Mini$0.0013Fits in one request
Kimi K2.7 Code$0.0029Fits in one request

GPT-5 Mini costs less

Repository review

50K input + 3K output tokens

GPT-5 Mini$0.018Fits in one request
Kimi K2.7 Code$0.059Fits in one request

GPT-5 Mini costs less

Agent loop

200K input + 10K output tokens

GPT-5 Mini$0.070Fits in one request
Kimi K2.7 Code$0.230Fits in one request

GPT-5 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-5 Mini and Kimi K2.7 Code
SpecificationOpenAI GPT-5 MiniMoonshotAI Kimi K2.7 Code
MakerOpenAIMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedAugust 7, 2025June 12, 2026
Context window400K262K
Input $/Mtok$0.25$0.95
Output $/Mtok$2.00$4.00
Coding index34.253.4
Independent measurements behind it24
Cost per solved task$0.08$0.35
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick Kimi K2.7 Code for coding: it scores 53.4 on the Vibe Coding Index against 34.2 for GPT-5 Mini. Pick GPT-5 Mini for output tokens 2.0x cheaper ($2.00 vs $4.00 per million) and a lower cost per solved task ($0.08 against $0.35).

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

GPT-5 Mini costs $0.25 per million input tokens and $2.00 per million output tokens; Kimi K2.7 Code costs $0.95 and $4.00. Per solved SWE-bench Verified task, GPT-5 Mini costs $0.08 and Kimi K2.7 Code $0.35.

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

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

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

28 benchmarks have a result for both models as of October 22, 2026. GPT-5 Mini's coding index rests on 2 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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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gpt-5-mini-vs-kimi-k2-7-code">LLMBenchmark.ai, GPT-5 Mini vs Kimi K2.7 Code</a></p>