Claude Opus 4.6 vs Kimi K2.7 Code

Updated October 21, 2026. 39 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Claude Opus 4.6 Replace Kimi K2.7 Code

Claude Opus 4.6Anthropic

Coding: 66.9
Overall: 31.9
Output $/M: $25.00

Kimi K2.7 CodeMoonshot AI

Coding: 39.1
Overall: 25.8
Output $/M: $3.35

vs boards won of 39 shared, 2 tied

Decision reading

Pick Claude Opus 4.6 for coding: it scores 66.9 on the Vibe Coding Index against 39.1 for Kimi K2.7 Code.

Pick Kimi K2.7 Code when output tokens cost 7.5x less, or when a solved task costs $0.35 against $1.56.

Model AClaude Opus 4.6Anthropic66.9/1002 independent benchmarks$1.56 per solved task Model BKimi K2.7 CodeMoonshot AI39.1/1001 independent benchmark$0.35 per solved task

396912

Shared results: 39
Claude Opus 4.6 only: 69
Kimi K2.7 Code only: 12
Like-for-like categories: 8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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, four public coding benchmarks
Claude Opus 4.6
Claude Opus 4.6 scores 66.9 against 39.1.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
Claude Opus 4.6
Claude Opus 4.6 leads, 31.9 against 25.8.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Kimi K2.7 Code has a AA Agentic Index result, 21.0.
Directional only
Reasoning
GPQA Diamond
No call
Only Claude Opus 4.6 has a GPQA Diamond result, 89.7%.
Directional only
Math
AIME
No call
Only Claude Opus 4.6 has a AIME result, 95.6%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Opus 4.6 has a MMLU Pro result, 89.1%.
Directional only
Web design
Design Arena: websites
Claude Opus 4.6
Claude Opus 4.6 leads, 1291 against 1264.
Same board, both measured
Long documents
Listed context window
Claude Opus 4.6
Claude Opus 4.6 takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Kimi K2.7 Code
Claude Opus 4.6 $0.018, Kimi K2.7 Code $0.0023 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Kimi K2.7 Code
Claude Opus 4.6 $1.56, Kimi K2.7 Code $0.35.
Published attempt cost and pass rate

At a glance

Coding index: Claude Opus 4.6 66.9 from 2 benchmarks, Kimi K2.7 Code 39.1 from 1 benchmark.
Widest category: Knowledge, 10.5 points apart on average over 1 shared benchmark.
Widest single gap: WeirdML: Claude Opus 4.6 78.0% against Kimi K2.7 Code 54.1%, 23.8 points apart on a 0 to 100 scale.
Output price: Claude Opus 4.6 $25.00 against Kimi K2.7 Code $3.35 per million output tokens, 7.5x apart.
Context window: Claude Opus 4.6 takes 1M 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	Claude Opus 4.6	Kimi K2.7 Code	Ties
Coding	8	1	1 tie
Intelligence	2	0
Agentic work	8	0
Reasoning	4	0	1 tie
Math	2	1
Knowledge	1	0
Web design	8	0
General	0	2
All shared boards	33	4	2 ties

CodingLike-for-likeFour of these boards feed the Vibe Coding Index81

Coding benchmarks for Claude Opus 4.6 and Kimi K2.7 Code
Benchmark	Claude Opus 4.6	Kimi K2.7 Code	Leader
SWE-bench Verified	75.6%	Not measured	Only Claude Opus 4.6 measured
SWE-bench Multilingual	72.0%	Not measured	Only Claude Opus 4.6 measured
LMArena WebDev	1547	1474	Claude Opus 4.6
AA Coding Index	Not measured	60.8	Only Kimi K2.7 Code measured
LiveCodeBench (Vals AI)	84.7%	82.0%	Claude Opus 4.6
SWE-bench Verified (Vals AI)	78.2%	78.2%	Tie
Vibe Code Bench (Vals AI)	57.6%	47.2%	Claude Opus 4.6
Code migration (Vals AI)	Not measured	25.4%	Only Kimi K2.7 Code measured
ProgramBench (Vals AI)	Not measured	0.0%	Only Kimi K2.7 Code measured
Terminal-Bench 2.1 (Vals AI)	Not measured	67.0%	Only Kimi K2.7 Code measured
SkillsBench (Vals AI)	Not measured	50.0%	Only Kimi K2.7 Code measured
SciCode	Not measured	47.8%	Only Kimi K2.7 Code measured
Terminal-Bench Hard (Artificial Analysis run)	48.5%	44.7%	Claude Opus 4.6
Terminal-Bench	79.8%	Not measured	Only Claude Opus 4.6 measured
FrontierCode	26.6%	30.1%	Kimi K2.7 Code
GSO-Bench	41.2%	Not measured	Only Claude Opus 4.6 measured
WeirdML	78.0%	54.1%	Claude Opus 4.6
Cybench	93.0%	Not measured	Only Claude Opus 4.6 measured
ALE-Bench	Not measured	886.2	Only Kimi K2.7 Code measured
LMArena Text: coding	1534	Not measured	Only Claude Opus 4.6 measured
LMArena Text: software and IT	1527	Not measured	Only Claude Opus 4.6 measured
LMArena WebDev: React	1539	1475	Claude Opus 4.6
LMArena WebDev: HTML	1559	1451	Claude Opus 4.6
LMArena WebDev: from an image	1543	1513	Claude Opus 4.6
Neither model has a result on the other 14 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20

Intelligence benchmarks for Claude Opus 4.6 and Kimi K2.7 Code
Benchmark	Claude Opus 4.6	Kimi K2.7 Code	Leader
AA Intelligence Index	31.9	25.8	Claude Opus 4.6
Epoch Capabilities Index	155.7	150.1	Claude Opus 4.6

Agentic workLike-for-likePublic boards, shown as published, kept out of the index80

Agentic work benchmarks for Claude Opus 4.6 and Kimi K2.7 Code
Benchmark	Claude Opus 4.6	Kimi K2.7 Code	Leader
AA Agentic Index	Not measured	21.0	Only Kimi K2.7 Code measured
Design Arena: agents building web apps	1206	1176	Claude Opus 4.6
Design Arena: agents building full-stack apps	1220	1175	Claude Opus 4.6
Design Arena: agents building mobile apps	1207	1143	Claude Opus 4.6
Design Arena: agents building Android apps	1204	1143	Claude Opus 4.6
Design Arena: agents building Godot games	Not measured	1147	Only Kimi K2.7 Code measured
Design Arena: agents building games	1214	1130	Claude Opus 4.6
Design Arena: HTML slides	Not measured	1201	Only Kimi K2.7 Code measured
Design Arena: PowerPoint slides	Not measured	1154	Only Kimi K2.7 Code measured
τ²-Bench Telecom	92.1%	90.1%	Claude Opus 4.6
APEX-Agents	46.3%	37.6%	Claude Opus 4.6
METR time horizons	78.9%	Not measured	Only Claude Opus 4.6 measured
Remote Labor Index	4.2%	Not measured	Only Claude Opus 4.6 measured
DeepResearch Bench	55.3%	Not measured	Only Claude Opus 4.6 measured
Vending-Bench 2	$8,018	$5,083	Claude Opus 4.6
Neither model has a result on the other 24 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index40

Reasoning benchmarks for Claude Opus 4.6 and Kimi K2.7 Code
Benchmark	Claude Opus 4.6	Kimi K2.7 Code	Leader
GPQA Diamond	89.7%	Not measured	Only Claude Opus 4.6 measured
MMMU Pro (Vals AI)	83.9%	Not measured	Only Claude Opus 4.6 measured
GPQA Diamond (Artificial Analysis run)	89.6%	89.6%	Tie
Humanity's Last Exam (Artificial Analysis run)	39.9%	35.0%	Claude Opus 4.6
GPQA Diamond (Epoch AI run)	90.5%	87.9%	Claude Opus 4.6
ARC-AGI	94.0%	Not measured	Only Claude Opus 4.6 measured
ARC-AGI-2	69.2%	Not measured	Only Claude Opus 4.6 measured
SimpleBench	67.6%	57.9%	Claude Opus 4.6
Chess puzzles	21.0%	14.0%	Claude Opus 4.6
Mystery game puzzles	25.0%	Not measured	Only Claude Opus 4.6 measured
EBR-bench	12.7%	Not measured	Only Claude Opus 4.6 measured
LMArena Text: hard prompts	1525	Not measured	Only Claude Opus 4.6 measured
LMArena Text: expert	1544	Not measured	Only Claude Opus 4.6 measured
LMArena Text: hard prompts in English	1530	Not measured	Only Claude Opus 4.6 measured
LMArena Vision: diagrams	1340	Not measured	Only Claude Opus 4.6 measured
LMArena Vision: homework	1337	Not measured	Only Claude Opus 4.6 measured
Neither model has a result on the other 5 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index21

Math benchmarks for Claude Opus 4.6 and Kimi K2.7 Code
Benchmark	Claude Opus 4.6	Kimi K2.7 Code	Leader
AIME	95.6%	Not measured	Only Claude Opus 4.6 measured
OTIS Mock AIME	94.4%	95.6%	Kimi K2.7 Code
FrontierMath, tiers 1 to 3	66.0%	54.0%	Claude Opus 4.6
FrontierMath, tier 4	26.8%	12.2%	Claude Opus 4.6
ProofBench	50.0%	Not measured	Only Claude Opus 4.6 measured
LMArena Text: math	1518	Not measured	Only Claude Opus 4.6 measured
LMArena Text: mathematical work	1525	Not measured	Only Claude Opus 4.6 measured
Neither model has a result on the other 6 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10

Knowledge benchmarks for Claude Opus 4.6 and Kimi K2.7 Code
Benchmark	Claude Opus 4.6	Kimi K2.7 Code	Leader
MMLU Pro	89.1%	Not measured	Only Claude Opus 4.6 measured
LegalBench (Vals AI)	85.3%	Not measured	Only Claude Opus 4.6 measured
CaseLaw (Vals AI)	62.1%	Not measured	Only Claude Opus 4.6 measured
CorpFin (Vals AI)	67.0%	Not measured	Only Claude Opus 4.6 measured
TaxEval (Vals AI)	76.0%	Not measured	Only Claude Opus 4.6 measured
MortgageTax (Vals AI)	68.5%	Not measured	Only Claude Opus 4.6 measured
MedQA (Vals AI)	95.4%	Not measured	Only Claude Opus 4.6 measured
MedCode (Vals AI)	49.1%	Not measured	Only Claude Opus 4.6 measured
SimpleQA Verified	47.0%	36.5%	Claude Opus 4.6
LMArena Text: science	1519	Not measured	Only Claude Opus 4.6 measured
LMArena Text: medicine and healthcare	1504	Not measured	Only Claude Opus 4.6 measured
LMArena Text: legal and government	1512	Not measured	Only Claude Opus 4.6 measured
LMArena Text: business and finance	1497	Not measured	Only Claude Opus 4.6 measured
Neither model has a result on the other 4 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index80

Web design benchmarks for Claude Opus 4.6 and Kimi K2.7 Code
Benchmark	Claude Opus 4.6	Kimi K2.7 Code	Leader
Design Arena: websites	1291	1264	Claude Opus 4.6
Design Arena: UI components	1284	1259	Claude Opus 4.6
Design Arena: game dev	1278	1220	Claude Opus 4.6
Design Arena: data viz	1279	1226	Claude Opus 4.6
Design Arena: 3D	1274	1241	Claude Opus 4.6
Design Arena: all code categories	1289	1253	Claude Opus 4.6
Design Arena: SVG	1227	1176	Claude Opus 4.6
Design Arena: ASCII art	1254	1196	Claude Opus 4.6
Neither model has a result on the other 1 board here

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

General benchmarks for Claude Opus 4.6 and Kimi K2.7 Code
Benchmark	Claude Opus 4.6	Kimi K2.7 Code	Leader
SAGE (Vals AI)	51.6%	Not measured	Only Claude Opus 4.6 measured
MedScribe (Vals AI)	86.7%	Not measured	Only Claude Opus 4.6 measured
IFBench	53.1%	63.1%	Kimi K2.7 Code
Long context reasoning (AA-LCR)	78.0%	79.3%	Kimi K2.7 Code
DTBench	91.2%	Not measured	Only Claude Opus 4.6 measured
LMCA	55.8%	Not measured	Only Claude Opus 4.6 measured
CL-bench	20.7%	Not measured	Only Claude Opus 4.6 measured
Surface Evolver Bench	Not measured	48.8%	Only Kimi K2.7 Code measured
Furniture assembly	28.3%	Not measured	Only Claude Opus 4.6 measured
CL-bench Life	17.0%	Not measured	Only Claude Opus 4.6 measured
LMArena Text	1501	Not measured	Only Claude Opus 4.6 measured
LMArena Text: instruction following	1521	Not measured	Only Claude Opus 4.6 measured
LMArena Text: creative writing	1505	Not measured	Only Claude Opus 4.6 measured
LMArena Vision	1316	Not measured	Only Claude Opus 4.6 measured
LMArena Text: English	1511	Not measured	Only Claude Opus 4.6 measured
LMArena Text: non-English	1488	Not measured	Only Claude Opus 4.6 measured
LMArena Text: Chinese	1551	Not measured	Only Claude Opus 4.6 measured
LMArena Text: German	1500	Not measured	Only Claude Opus 4.6 measured
LMArena Text: Japanese	1488	Not measured	Only Claude Opus 4.6 measured
LMArena Text: Korean	1464	Not measured	Only Claude Opus 4.6 measured
LMArena Text: French	1512	Not measured	Only Claude Opus 4.6 measured
LMArena Text: Spanish	1510	Not measured	Only Claude Opus 4.6 measured
LMArena Text: Russian	1497	Not measured	Only Claude Opus 4.6 measured
LMArena Text: Polish	1499	Not measured	Only Claude Opus 4.6 measured
LMArena Text: multi-turn	1511	Not measured	Only Claude Opus 4.6 measured
LMArena Text: longer queries	1518	Not measured	Only Claude Opus 4.6 measured
LMArena Text: writing and language	1502	Not measured	Only Claude Opus 4.6 measured
LMArena Text: entertainment and media	1492	Not measured	Only Claude Opus 4.6 measured
LMArena Vision: English	1324	Not measured	Only Claude Opus 4.6 measured
LMArena Vision: Chinese	1370	Not measured	Only Claude Opus 4.6 measured
LMArena Vision: reading text	1326	Not measured	Only Claude Opus 4.6 measured
LMArena Vision: humor	1314	Not measured	Only Claude Opus 4.6 measured
LMArena Vision: recognizing things	1274	Not measured	Only Claude Opus 4.6 measured
LMArena Vision: creative writing	1331	Not measured	Only Claude Opus 4.6 measured
LMArena Document	1507	Not measured	Only Claude Opus 4.6 measured
Neither model has a result on the other 11 boards here

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

Image generation benchmarks for Claude Opus 4.6 and Kimi K2.7 Code
Benchmark	Claude Opus 4.6	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

Claude Opus 4.6$0.018Fits in one request

Kimi K2.7 Code$0.0023Fits in one request

Kimi K2.7 Code costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.6$0.325Fits in one request

Kimi K2.7 Code$0.044Fits in one request

Kimi K2.7 Code costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.6$1.25Fits in one request

Kimi K2.7 Code$0.168Fits in one request

Kimi K2.7 Code 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 Claude Opus 4.6 and Kimi K2.7 Code
Specification	Anthropic Claude Opus 4.6	MoonshotAI Kimi K2.7 Code
Maker	Anthropic	Moonshot AI
Weights	No public weights listed	Open weights
Released	February 4, 2026	June 12, 2026
Context window	1M	262K
Input $/Mtok	$5.00	$0.6712
Output $/Mtok	$25.00	$3.35
Coding index	66.9	39.1
Independent measurements behind it	2	1
Cost per solved task	$1.56	$0.35
Source	OpenRouter listing	OpenRouter listing

Questions

Is Claude Opus 4.6 better than Kimi K2.7 Code for coding?

Pick Claude Opus 4.6 for coding: it scores 66.9 on the Vibe Coding Index against 39.1 for Kimi K2.7 Code. Pick Kimi K2.7 Code when output tokens cost 7.5x less, or when a solved task costs $0.35 against $1.56.

Which is cheaper, Claude Opus 4.6 or Kimi K2.7 Code?

Claude Opus 4.6 costs $5.00 per million input tokens and $25.00 per million output tokens; Kimi K2.7 Code costs $0.6712 and $3.35. Per solved SWE-bench Verified task, Claude Opus 4.6 costs $1.56 and Kimi K2.7 Code $0.35.

Which has the bigger context window, Claude Opus 4.6 or Kimi K2.7 Code?

Claude Opus 4.6, with 1M tokens against 262K.

How many benchmarks is the Claude Opus 4.6 vs Kimi K2.7 Code comparison based on?

39 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.6's coding index rests on 2 independent benchmarks and Kimi K2.7 Code's on 1. Where only one model has a result, the page says so instead of naming a winner.

Decision reading

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Math

Knowledge

Web design

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

Compare next