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Claude Opus 4.5 vs Kimi K2.7 Code

Kimi K2.7 Code leads Claude Opus 4.5 on coding, 53.4 to 44.0 on the Vibe Coding Index, and Kimi K2.7 Code costs 6.3x less per output token ($4.00 vs $25.00 per million). Updated October 22, 2026; 35 benchmarks have a result for both.

Replace Claude Opus 4.5 Replace Kimi K2.7 Code
Claude Opus 4.5Anthropic
Coding
44.0
Overall
55.7
Output $/M
$25.00
14
Kimi K2.7 CodeMoonshot AI
Coding
53.4
Overall
56.7
Output $/M
$4.00
19
vs boards won of 35 shared, 2 tied

Claude Opus 4.5 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 44.0 for Claude Opus 4.5.

Pick Claude Opus 4.5 for work measured by LMArena WebDev or LiveCodeBench (Vals AI), where it leads.

Model AClaude Opus 4.5Anthropic44.0/1003 independent benchmarks$1.37 per solved taskModel BKimi K2.7 CodeMoonshot AI53.4/1004 independent benchmarks$0.35 per solved task
Shared results
35
Claude Opus 4.5 only
73
Kimi K2.7 Code only
16
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
Claude Opus 4.5 44.0 from 3 benchmarks, Kimi K2.7 Code 53.4 from 4 benchmarks.
Widest category
Math, 12.1 points apart on average over 3 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Opus 4.5 20.6% against Kimi K2.7 Code 47.2%, 26.6 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.5 $25.00 against Kimi K2.7 Code $4.00 per million output tokens, 6.3x apart.
Context window
Claude Opus 4.5 takes 200K 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
CategoryClaude Opus 4.5BarsKimi K2.7 CodeTies
Coding62
Intelligence101 tie
Agentic work24
Reasoning131 tie
Math03
Knowledge10
Web design35
General02
All shared boards14192 ties
CodingLike-for-likeSix of these boards feed the Vibe Coding Index62
Coding benchmarks for Claude Opus 4.5 and Kimi K2.7 Code
BenchmarkClaude Opus 4.5Kimi K2.7 CodeLeader
SWE-bench Verified79.2%Not measuredOnly Claude Opus 4.5 measured
SWE-bench (full test set)52.6%Not measuredOnly Claude Opus 4.5 measured
SWE-bench Multilingual70.7%Not measuredOnly Claude Opus 4.5 measured
LMArena WebDev14941474Claude Opus 4.5
AA Coding IndexNot measured60.8Only Kimi K2.7 Code measured
LiveCodeBench (Vals AI)83.7%82.0%Claude Opus 4.5
SWE-bench Verified (Vals AI)76.4%78.2%Kimi K2.7 Code
Vibe Code Bench (Vals AI)20.6%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)87.1%Not measuredOnly Claude Opus 4.5 measured
SciCodeNot measured47.8%Only Kimi K2.7 Code measured
Terminal-Bench Hard (Artificial Analysis run)47.0%44.7%Claude Opus 4.5
Terminal-Bench63.1%Not measuredOnly Claude Opus 4.5 measured
FrontierCodeNot measured30.1%Only Kimi K2.7 Code measured
GSO-Bench26.5%Not measuredOnly Claude Opus 4.5 measured
WeirdML63.7%54.1%Claude Opus 4.5
Cybench82.0%Not measuredOnly Claude Opus 4.5 measured
ALE-BenchNot measured886.2Only Kimi K2.7 Code measured
LMArena Text: coding1503Not measuredOnly Claude Opus 4.5 measured
LMArena Text: software and IT1483Not measuredOnly Claude Opus 4.5 measured
LMArena WebDev: React14781475Claude Opus 4.5
LMArena WebDev: HTML15101451Claude Opus 4.5
LMArena WebDev: from an imageNot measured1513Only Kimi K2.7 Code measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Opus 4.5 and Kimi K2.7 Code
BenchmarkClaude Opus 4.5Kimi K2.7 CodeLeader
AA Intelligence Index29.125.8Claude Opus 4.5
Epoch Capabilities Index150.1150.1Tie
Agentic workLike-for-likePublic boards, shown as published, kept out of the index24
Agentic work benchmarks for Claude Opus 4.5 and Kimi K2.7 Code
BenchmarkClaude Opus 4.5Kimi K2.7 CodeLeader
AA Agentic IndexNot measured21.0Only Kimi K2.7 Code measured
Design Arena: agents building web apps11591176Kimi K2.7 Code
Design Arena: agents building full-stack apps11561175Kimi K2.7 Code
Design Arena: agents building mobile apps11891143Claude Opus 4.5
Design Arena: agents building Android apps11761138Claude Opus 4.5
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 Telecom89.5%90.1%Kimi K2.7 Code
APEX-AgentsNot measured37.6%Only Kimi K2.7 Code measured
METR time horizons75.0%Not measuredOnly Claude Opus 4.5 measured
Remote Labor Index3.8%Not measuredOnly Claude Opus 4.5 measured
GDPval45.5%Not measuredOnly Claude Opus 4.5 measured
BALROG43.5%Not measuredOnly Claude Opus 4.5 measured
DeepResearch Bench54.8%Not measuredOnly Claude Opus 4.5 measured
OSWorld66.3%Not measuredOnly Claude Opus 4.5 measured
Vending-Bench 2$4,967$5,083Kimi K2.7 Code
Berkeley Function Calling Leaderboard (BFCL)77.5%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index13
Reasoning benchmarks for Claude Opus 4.5 and Kimi K2.7 Code
BenchmarkClaude Opus 4.5Kimi K2.7 CodeLeader
GPQA Diamond85.9%Not measuredOnly Claude Opus 4.5 measured
MMMU Pro (Vals AI)83.0%Not measuredOnly Claude Opus 4.5 measured
GPQA Diamond (Artificial Analysis run)86.6%89.6%Kimi K2.7 Code
Humanity's Last Exam (Artificial Analysis run)30.1%35.0%Kimi K2.7 Code
GPQA Diamond (Epoch AI run)86.0%87.9%Kimi K2.7 Code
ARC-AGI80.0%Not measuredOnly Claude Opus 4.5 measured
ARC-AGI-237.6%Not measuredOnly Claude Opus 4.5 measured
SimpleBench62.0%57.9%Claude Opus 4.5
Chess puzzles14.0%14.0%Tie
Mystery game puzzles22.0%Not measuredOnly Claude Opus 4.5 measured
EBR-bench14.3%Not measuredOnly Claude Opus 4.5 measured
VPCT40.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: hard prompts1476Not measuredOnly Claude Opus 4.5 measured
LMArena Text: expert1487Not measuredOnly Claude Opus 4.5 measured
LMArena Text: hard prompts in English1482Not measuredOnly Claude Opus 4.5 measured
Kagi LLM Benchmark80.2%Not measuredOnly Claude Opus 4.5 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 Claude Opus 4.5 and Kimi K2.7 Code
BenchmarkClaude Opus 4.5Kimi K2.7 CodeLeader
AIME95.4%Not measuredOnly Claude Opus 4.5 measured
MGSM (Vals AI)95.2%Not measuredOnly Claude Opus 4.5 measured
AA Math Index91.3Not measuredOnly Claude Opus 4.5 measured
AIME 2025 (Artificial Analysis run)91.3%Not measuredOnly Claude Opus 4.5 measured
OTIS Mock AIME86.1%95.6%Kimi K2.7 Code
FrontierMath, tiers 1 to 334.4%54.0%Kimi K2.7 Code
FrontierMath, tier 44.9%12.2%Kimi K2.7 Code
ProofBench36.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: math1463Not measuredOnly Claude Opus 4.5 measured
LMArena Text: mathematical work1468Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
Knowledge benchmarks for Claude Opus 4.5 and Kimi K2.7 Code
BenchmarkClaude Opus 4.5Kimi K2.7 CodeLeader
MMLU Pro87.3%Not measuredOnly Claude Opus 4.5 measured
LegalBench (Vals AI)84.6%Not measuredOnly Claude Opus 4.5 measured
CaseLaw (Vals AI)62.6%Not measuredOnly Claude Opus 4.5 measured
CorpFin (Vals AI)65.1%Not measuredOnly Claude Opus 4.5 measured
TaxEval (Vals AI)74.9%Not measuredOnly Claude Opus 4.5 measured
MortgageTax (Vals AI)68.7%Not measuredOnly Claude Opus 4.5 measured
MedQA (Vals AI)95.9%Not measuredOnly Claude Opus 4.5 measured
MedCode (Vals AI)49.2%Not measuredOnly Claude Opus 4.5 measured
MMLU Pro (Artificial Analysis run)89.5%Not measuredOnly Claude Opus 4.5 measured
SimpleQA Verified45.7%36.5%Claude Opus 4.5
GeoBench75.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: science1454Not measuredOnly Claude Opus 4.5 measured
LMArena Text: medicine and healthcare1444Not measuredOnly Claude Opus 4.5 measured
LMArena Text: legal and government1459Not measuredOnly Claude Opus 4.5 measured
LMArena Text: business and finance1448Not measuredOnly Claude Opus 4.5 measured
FACTS Benchmark Suite43.9%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index35
Web design benchmarks for Claude Opus 4.5 and Kimi K2.7 Code
BenchmarkClaude Opus 4.5Kimi K2.7 CodeLeader
Design Arena: websites12471263Kimi K2.7 Code
Design Arena: UI components12351255Kimi K2.7 Code
Design Arena: game dev12281220Claude Opus 4.5
Design Arena: data viz12431227Claude Opus 4.5
Design Arena: 3D12131240Kimi K2.7 Code
Design Arena: all code categories12421252Kimi K2.7 Code
Design Arena: SVG11801176Claude Opus 4.5
Design Arena: ASCII art11901196Kimi 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 index02
General benchmarks for Claude Opus 4.5 and Kimi K2.7 Code
BenchmarkClaude Opus 4.5Kimi K2.7 CodeLeader
SAGE (Vals AI)52.1%Not measuredOnly Claude Opus 4.5 measured
MedScribe (Vals AI)85.3%Not measuredOnly Claude Opus 4.5 measured
IFBench58.0%63.1%Kimi K2.7 Code
Long context reasoning (AA-LCR)77.3%79.3%Kimi K2.7 Code
DTBench89.9%Not measuredOnly Claude Opus 4.5 measured
LMCA44.5%Not measuredOnly Claude Opus 4.5 measured
CL-bench21.1%Not measuredOnly Claude Opus 4.5 measured
Surface Evolver BenchNot measured48.8%Only Kimi K2.7 Code measured
Furniture assembly28.3%Not measuredOnly Claude Opus 4.5 measured
LMArena Text1451Not measuredOnly Claude Opus 4.5 measured
LMArena Text: instruction following1478Not measuredOnly Claude Opus 4.5 measured
LMArena Text: creative writing1445Not measuredOnly Claude Opus 4.5 measured
LMArena Text: English1461Not measuredOnly Claude Opus 4.5 measured
LMArena Text: non-English1438Not measuredOnly Claude Opus 4.5 measured
LMArena Text: Chinese1470Not measuredOnly Claude Opus 4.5 measured
LMArena Text: German1449Not measuredOnly Claude Opus 4.5 measured
LMArena Text: Japanese1417Not measuredOnly Claude Opus 4.5 measured
LMArena Text: Korean1424Not measuredOnly Claude Opus 4.5 measured
LMArena Text: French1471Not measuredOnly Claude Opus 4.5 measured
LMArena Text: Spanish1457Not measuredOnly Claude Opus 4.5 measured
LMArena Text: Russian1447Not measuredOnly Claude Opus 4.5 measured
LMArena Text: Polish1439Not measuredOnly Claude Opus 4.5 measured
LMArena Text: multi-turn1466Not measuredOnly Claude Opus 4.5 measured
LMArena Text: longer queries1479Not measuredOnly Claude Opus 4.5 measured
LMArena Text: writing and language1452Not measuredOnly Claude Opus 4.5 measured
LMArena Text: entertainment and media1434Not measuredOnly Claude Opus 4.5 measured
LMArena Document1462Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 19 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.5 and Kimi K2.7 Code
BenchmarkClaude Opus 4.5Kimi 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

Claude Opus 4.5$0.018Fits 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

Claude Opus 4.5$0.325Fits in one request
Kimi K2.7 Code$0.059Fits in one request

Kimi K2.7 Code costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.5$1.25Exceeds the context window
Kimi K2.7 Code$0.230Fits 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 4.5 and Kimi K2.7 Code
SpecificationAnthropic Claude Opus 4.5MoonshotAI Kimi K2.7 Code
MakerAnthropicMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedNovember 24, 2025June 12, 2026
Context window200K262K
Input $/Mtok$5.00$0.95
Output $/Mtok$25.00$4.00
Coding index44.053.4
Independent measurements behind it34
Cost per solved task$1.37$0.35
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.5 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 44.0 for Claude Opus 4.5. Pick Claude Opus 4.5 for work measured by LMArena WebDev or LiveCodeBench (Vals AI), where it leads.

Which is cheaper, Claude Opus 4.5 or Kimi K2.7 Code?

Claude Opus 4.5 costs $5.00 per million input tokens and $25.00 per million output tokens; Kimi K2.7 Code costs $0.95 and $4.00. Per solved SWE-bench Verified task, Claude Opus 4.5 costs $1.37 and Kimi K2.7 Code $0.35.

Which has the bigger context window, Claude Opus 4.5 or Kimi K2.7 Code?

Kimi K2.7 Code, with 262K tokens against 200K.

How many benchmarks is the Claude Opus 4.5 vs Kimi K2.7 Code comparison based on?

35 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.5's coding index rests on 3 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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