GPT-5.4 Mini vs Kimi K2.7 Code

Kimi K2.7 Code leads GPT-5.4 Mini on coding, 53.4 to 35.8 on the Vibe Coding Index, at about the same output price ($4.00 vs $4.50 per million). Updated October 22, 2026; 29 benchmarks have a result for both.

Replace GPT-5.4 Mini Replace Kimi K2.7 Code

GPT-5.4 MiniOpenAI

Coding: 35.8
Overall: 44.0
Output $/M: $4.50

Kimi K2.7 CodeMoonshot AI

Coding: 53.4
Overall: 56.7
Output $/M: $4.00

vs boards won of 29 shared, 1 tied

GPT-5.4 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 35.8 for GPT-5.4 Mini, though on 4 benchmarks against 5.

Pick GPT-5.4 Mini for a larger context window (400K against 262K tokens) and work measured by Vibe Code Bench (Vals AI) or SciCode, where it leads.

Model AGPT-5.4 MiniOpenAI35.8/1005 independent benchmarks$0.70 per solved task Model BKimi K2.7 CodeMoonshot AI53.4/1004 independent benchmarks$0.35 per solved task

296022

Shared results: 29
GPT-5.4 Mini only: 60
Kimi K2.7 Code only: 22
Like-for-like categories: 7 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.

Coding
Vibe Coding Index, six public coding benchmarks
Kimi K2.7 Code
Kimi K2.7 Code scores 53.4 against 35.8.
5 and 4 benchmarks behind the scores
Intelligence
AA Intelligence Index
Kimi K2.7 Code
Kimi K2.7 Code leads, 25.8 against 24.1.
Same board, both measured
Agentic work
AA Agentic Index
Kimi K2.7 Code
Kimi K2.7 Code leads, 21.0 against 17.9.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only GPT-5.4 Mini has a GPQA Diamond result, 83.1%.
Directional only
Math
AIME
No call
Only GPT-5.4 Mini has a AIME result, 95.6%.
Directional only
Knowledge
MMLU Pro
No call
Only GPT-5.4 Mini has a MMLU Pro result, 84.5%.
Directional only
Web design
Design Arena: websites
No call
Only Kimi K2.7 Code has a Design Arena: websites result, 1263.
Directional only
Long documents
Listed context window
GPT-5.4 Mini
GPT-5.4 Mini takes 400K tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Kimi K2.7 Code
GPT-5.4 Mini $0.0030, Kimi K2.7 Code $0.0029 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Kimi K2.7 Code
GPT-5.4 Mini $0.70, Kimi K2.7 Code $0.35.
Published attempt cost and pass rate

At a glance

Coding index: GPT-5.4 Mini 35.8 from 5 benchmarks, Kimi K2.7 Code 53.4 from 4 benchmarks.
Widest category: Knowledge, 7.1 points apart on average over 1 shared benchmark.
Widest single gap: LMArena WebDev: React: GPT-5.4 Mini 1386 against Kimi K2.7 Code 1475, 14.8 points apart on a 0 to 100 scale.
Output price: GPT-5.4 Mini $4.50 against Kimi K2.7 Code $4.00 per million output tokens, 1.1x apart.
Context window: GPT-5.4 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
Category	GPT-5.4 Mini	Kimi K2.7 Code	Ties
Coding	5	9	1 tie
Intelligence	0	2
Agentic work	0	2
Reasoning	1	3
Math	0	3
Knowledge	0	1
General	1	1
All shared boards	7	21	1 tie

CodingLike-for-likeSix of these boards feed the Vibe Coding Index59

Coding benchmarks for GPT-5.4 Mini and Kimi K2.7 Code
Benchmark	GPT-5.4 Mini	Kimi K2.7 Code	Leader
LMArena WebDev	1397	1474	Kimi K2.7 Code
AA Coding Index	56.1	60.8	Kimi K2.7 Code
LiveCodeBench (Vals AI)	81.5%	82.0%	Kimi K2.7 Code
SWE-bench Verified (Vals AI)	73.0%	78.2%	Kimi K2.7 Code
Terminal-Bench 4 (Vals AI)	2.5%	Not measured	Only GPT-5.4 Mini measured
Vibe Code Bench (Vals AI)	48.0%	47.2%	GPT-5.4 Mini
Code migration (Vals AI)	12.9%	25.4%	Kimi K2.7 Code
ProgramBench (Vals AI)	0.0%	0.0%	Tie
Terminal-Bench 2.1 (Vals AI)	54.7%	67.0%	Kimi K2.7 Code
SkillsBench (Vals AI)	Not measured	50.0%	Only Kimi K2.7 Code measured
SciCode	52.1%	47.8%	GPT-5.4 Mini
Terminal-Bench Hard (Artificial Analysis run)	52.3%	44.7%	GPT-5.4 Mini
FrontierCode	27.0%	30.1%	Kimi K2.7 Code
WeirdML	60.3%	54.1%	GPT-5.4 Mini
ALE-Bench	1188.6	886.2	GPT-5.4 Mini
LMArena Text: coding	1438	Not measured	Only GPT-5.4 Mini measured
LMArena Text: software and IT	1436	Not measured	Only GPT-5.4 Mini measured
LMArena WebDev: React	1386	1475	Kimi K2.7 Code
LMArena WebDev: HTML	1419	1451	Kimi K2.7 Code
LMArena WebDev: from an image	Not measured	1513	Only Kimi K2.7 Code measured
Neither model has a result on the other 19 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02

Intelligence benchmarks for GPT-5.4 Mini and Kimi K2.7 Code
Benchmark	GPT-5.4 Mini	Kimi K2.7 Code	Leader
AA Intelligence Index	24.1	25.8	Kimi K2.7 Code
Epoch Capabilities Index	148.7	150.1	Kimi K2.7 Code

Agentic workLike-for-likePublic boards, shown as published, kept out of the index02

Agentic work benchmarks for GPT-5.4 Mini and Kimi K2.7 Code
Benchmark	GPT-5.4 Mini	Kimi K2.7 Code	Leader
AA Agentic Index	17.9	21.0	Kimi K2.7 Code
Design Arena: agents building web apps	Not measured	1176	Only Kimi K2.7 Code measured
Design Arena: agents building full-stack apps	Not measured	1175	Only Kimi K2.7 Code measured
Design Arena: agents building mobile apps	Not measured	1143	Only Kimi K2.7 Code measured
Design Arena: agents building Android apps	Not measured	1138	Only Kimi K2.7 Code measured
Design Arena: agents building Godot games	Not measured	1147	Only Kimi K2.7 Code measured
Design Arena: agents building games	Not measured	1130	Only Kimi K2.7 Code measured
Design Arena: HTML slides	Not measured	1151	Only Kimi K2.7 Code measured
Design Arena: PowerPoint slides	Not measured	1129	Only Kimi K2.7 Code measured
Finance Agent (Vals AI)	45.4%	Not measured	Only GPT-5.4 Mini measured
Tax Agent Bench (Vals AI)	8.8%	Not measured	Only GPT-5.4 Mini measured
Legal Research Bench (Vals AI)	12.5%	Not measured	Only GPT-5.4 Mini measured
Excel Modeling Benchmark (Vals AI)	45.4%	Not measured	Only GPT-5.4 Mini measured
τ²-Bench Telecom	83.3%	90.1%	Kimi K2.7 Code
APEX-Agents	Not measured	37.6%	Only Kimi K2.7 Code measured
DeepResearch Bench	36.3%	Not measured	Only GPT-5.4 Mini measured
Vending-Bench 2	Not measured	$5,083	Only Kimi K2.7 Code measured
Neither model has a result on the other 24 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index13

Reasoning benchmarks for GPT-5.4 Mini and Kimi K2.7 Code
Benchmark	GPT-5.4 Mini	Kimi K2.7 Code	Leader
GPQA Diamond	83.1%	Not measured	Only GPT-5.4 Mini measured
MMMU Pro (Vals AI)	79.3%	Not measured	Only GPT-5.4 Mini measured
GPQA Diamond (Artificial Analysis run)	87.5%	89.6%	Kimi K2.7 Code
Humanity's Last Exam (Artificial Analysis run)	28.1%	35.0%	Kimi K2.7 Code
GPQA Diamond (Epoch AI run)	86.9%	87.9%	Kimi K2.7 Code
ARC-AGI	63.7%	Not measured	Only GPT-5.4 Mini measured
ARC-AGI-2	18.9%	Not measured	Only GPT-5.4 Mini measured
SimpleBench	Not measured	57.9%	Only Kimi K2.7 Code measured
Chess puzzles	23.0%	14.0%	GPT-5.4 Mini
Mystery game puzzles	11.0%	Not measured	Only GPT-5.4 Mini measured
LMArena Text: hard prompts	1424	Not measured	Only GPT-5.4 Mini measured
LMArena Text: expert	1435	Not measured	Only GPT-5.4 Mini measured
LMArena Text: hard prompts in English	1420	Not measured	Only GPT-5.4 Mini measured
LMArena Vision: diagrams	1266	Not measured	Only GPT-5.4 Mini measured
LMArena Vision: homework	1285	Not measured	Only GPT-5.4 Mini measured
Kagi LLM Benchmark	37.9%	Not measured	Only GPT-5.4 Mini measured
Neither model has a result on the other 6 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index03

Math benchmarks for GPT-5.4 Mini and Kimi K2.7 Code
Benchmark	GPT-5.4 Mini	Kimi K2.7 Code	Leader
AIME	95.6%	Not measured	Only GPT-5.4 Mini measured
OTIS Mock AIME	88.9%	95.6%	Kimi K2.7 Code
FrontierMath, tiers 1 to 3	51.2%	54.0%	Kimi K2.7 Code
FrontierMath, tier 4	9.8%	12.2%	Kimi K2.7 Code
ProofBench	21.0%	Not measured	Only GPT-5.4 Mini measured
LMArena Text: math	1418	Not measured	Only GPT-5.4 Mini measured
LMArena Text: mathematical work	1429	Not measured	Only GPT-5.4 Mini measured
Neither model has a result on the other 6 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01

Knowledge benchmarks for GPT-5.4 Mini and Kimi K2.7 Code
Benchmark	GPT-5.4 Mini	Kimi K2.7 Code	Leader
MMLU Pro	84.5%	Not measured	Only GPT-5.4 Mini measured
CaseLaw (Vals AI)	51.7%	Not measured	Only GPT-5.4 Mini measured
CorpFin (Vals AI)	60.9%	Not measured	Only GPT-5.4 Mini measured
TaxEval (Vals AI)	71.2%	Not measured	Only GPT-5.4 Mini measured
MortgageTax (Vals AI)	63.5%	Not measured	Only GPT-5.4 Mini measured
SimpleQA Verified	29.4%	36.5%	Kimi K2.7 Code
LMArena Text: science	1417	Not measured	Only GPT-5.4 Mini measured
LMArena Text: medicine and healthcare	1395	Not measured	Only GPT-5.4 Mini measured
LMArena Text: legal and government	1414	Not measured	Only GPT-5.4 Mini measured
LMArena Text: business and finance	1418	Not measured	Only GPT-5.4 Mini measured
Neither model has a result on the other 8 boards here

Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared

Web design benchmarks for GPT-5.4 Mini and Kimi K2.7 Code
Benchmark	GPT-5.4 Mini	Kimi K2.7 Code	Leader
Design Arena: websites	Not measured	1263	Only Kimi K2.7 Code measured
Design Arena: UI components	Not measured	1255	Only Kimi K2.7 Code measured
Design Arena: game dev	Not measured	1220	Only Kimi K2.7 Code measured
Design Arena: data viz	Not measured	1227	Only Kimi K2.7 Code measured
Design Arena: 3D	Not measured	1240	Only Kimi K2.7 Code measured
Design Arena: all code categories	Not measured	1252	Only Kimi K2.7 Code measured
Design Arena: SVG	Not measured	1176	Only Kimi K2.7 Code measured
Design Arena: ASCII art	Not measured	1196	Only 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-5.4 Mini and Kimi K2.7 Code
Benchmark	GPT-5.4 Mini	Kimi K2.7 Code	Leader
SAGE (Vals AI)	50.8%	Not measured	Only GPT-5.4 Mini measured
Vals Multimodal Index	54.2%	Not measured	Only GPT-5.4 Mini measured
IFBench	73.3%	63.1%	GPT-5.4 Mini
Long context reasoning (AA-LCR)	77.0%	79.3%	Kimi K2.7 Code
DTBench	80.0%	Not measured	Only GPT-5.4 Mini measured
LMCA	40.8%	Not measured	Only GPT-5.4 Mini measured
Surface Evolver Bench	Not measured	48.8%	Only Kimi K2.7 Code measured
LMArena Text	1412	Not measured	Only GPT-5.4 Mini measured
LMArena Text: instruction following	1405	Not measured	Only GPT-5.4 Mini measured
LMArena Text: creative writing	1370	Not measured	Only GPT-5.4 Mini measured
LMArena Vision	1245	Not measured	Only GPT-5.4 Mini measured
LMArena Text: English	1412	Not measured	Only GPT-5.4 Mini measured
LMArena Text: non-English	1405	Not measured	Only GPT-5.4 Mini measured
LMArena Text: Chinese	1446	Not measured	Only GPT-5.4 Mini measured
LMArena Text: German	1408	Not measured	Only GPT-5.4 Mini measured
LMArena Text: Japanese	1375	Not measured	Only GPT-5.4 Mini measured
LMArena Text: Korean	1370	Not measured	Only GPT-5.4 Mini measured
LMArena Text: French	1441	Not measured	Only GPT-5.4 Mini measured
LMArena Text: Spanish	1405	Not measured	Only GPT-5.4 Mini measured
LMArena Text: Russian	1417	Not measured	Only GPT-5.4 Mini measured
LMArena Text: Polish	1415	Not measured	Only GPT-5.4 Mini measured
LMArena Text: multi-turn	1429	Not measured	Only GPT-5.4 Mini measured
LMArena Text: longer queries	1408	Not measured	Only GPT-5.4 Mini measured
LMArena Text: writing and language	1393	Not measured	Only GPT-5.4 Mini measured
LMArena Text: entertainment and media	1373	Not measured	Only GPT-5.4 Mini measured
LMArena Vision: English	1244	Not measured	Only GPT-5.4 Mini measured
LMArena Vision: Chinese	1286	Not measured	Only GPT-5.4 Mini measured
LMArena Vision: reading text	1253	Not measured	Only GPT-5.4 Mini measured
LMArena Vision: humor	1235	Not measured	Only GPT-5.4 Mini measured
LMArena Vision: recognizing things	1218	Not measured	Only GPT-5.4 Mini measured
LMArena Vision: creative writing	1222	Not measured	Only GPT-5.4 Mini measured
Neither model has a result on the other 15 boards here

Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Image generation benchmarks for GPT-5.4 Mini and Kimi K2.7 Code
Benchmark	GPT-5.4 Mini	Kimi K2.7 Code	Leader
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-5.4 Mini$0.0030Fits in one request

Kimi K2.7 Code$0.0029Fits in one request

Kimi K2.7 Code costs less

Repository review

50K input + 3K output tokens

GPT-5.4 Mini$0.051Fits in one request

Kimi K2.7 Code$0.059Fits in one request

GPT-5.4 Mini costs less

Agent loop

200K input + 10K output tokens

GPT-5.4 Mini$0.195Fits in one request

Kimi K2.7 Code$0.230Fits in one request

GPT-5.4 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-5.4 Mini and Kimi K2.7 Code
Specification	OpenAI GPT-5.4 Mini	MoonshotAI Kimi K2.7 Code
Maker	OpenAI	Moonshot AI
Weights	No public weights listed	Open weights
Released	March 17, 2026	June 12, 2026
Context window	400K	262K
Input $/Mtok	$0.75	$0.95
Output $/Mtok	$4.50	$4.00
Coding index	35.8	53.4
Independent measurements behind it	5	4
Cost per solved task	$0.70	$0.35
Source	OpenRouter listing	OpenRouter listing

Questions

Is GPT-5.4 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 35.8 for GPT-5.4 Mini, though on 4 benchmarks against 5. Pick GPT-5.4 Mini for a larger context window (400K against 262K tokens) and work measured by Vibe Code Bench (Vals AI) or SciCode, where it leads.

Which is cheaper, GPT-5.4 Mini or Kimi K2.7 Code?

GPT-5.4 Mini costs $0.75 per million input tokens and $4.50 per million output tokens; Kimi K2.7 Code costs $0.95 and $4.00. Per solved SWE-bench Verified task, GPT-5.4 Mini costs $0.70 and Kimi K2.7 Code $0.35.

Which has the bigger context window, GPT-5.4 Mini or Kimi K2.7 Code?

GPT-5.4 Mini, with 400K tokens against 262K.

How many benchmarks is the GPT-5.4 Mini vs Kimi K2.7 Code comparison based on?

29 benchmarks have a result for both models as of October 22, 2026. GPT-5.4 Mini's coding index rests on 5 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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GPT-5.4 Mini or Kimi K2.7 Code: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Math

Knowledge

Web design

Long documents

Everyday cost

Cost per solved task