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Claude Opus 4.8 vs Kimi K2.7 Code

Claude Opus 4.8 leads Kimi K2.7 Code on coding, 65.0 to 53.4 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 21, 2026; 49 benchmarks have a result for both.

Claude Opus 4.8Anthropic
Coding
65.0
Overall
69.8
Output $/M
$25.00
44
Kimi K2.7 CodeMoonshot AI
Coding
53.4
Overall
56.7
Output $/M
$4.00
5
vs boards won of 49 shared

Claude Opus 4.8 or Kimi K2.7 Code: which to pick

Pick Claude Opus 4.8 for coding: it scores 65.0 on the Vibe Coding Index against 53.4 for Kimi K2.7 Code.

Pick Kimi K2.7 Code for output tokens 6.3x cheaper ($4.00 vs $25.00 per million) and a lower cost per solved task ($0.35 against $2.17).

Shared results
49
Claude Opus 4.8 only
81
Kimi K2.7 Code only
2
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 4.8 65.0 from 6 benchmarks, Kimi K2.7 Code 53.4 from 4 benchmarks.
Widest category
Math, 24.2 points apart on average over 3 shared benchmarks.
Widest single gap
FrontierMath, tier 4: Claude Opus 4.8 56.1% against Kimi K2.7 Code 12.2%, 43.9 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.8 $25.00 against Kimi K2.7 Code $4.00 per million output tokens, 6.3x apart.
Context window
Claude Opus 4.8 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
CategoryClaude Opus 4.8BarsKimi K2.7 CodeTies
Coding150
Intelligence20
Agentic work120
Reasoning50
Math30
Knowledge10
Web design53
General12
All shared boards445
CodingLike-for-likeSix of these boards feed the Vibe Coding Index150
Coding benchmarks for Claude Opus 4.8 and Kimi K2.7 Code
BenchmarkClaude Opus 4.8Kimi K2.7 CodeLeader
LiveBench coding77.3%Not measuredOnly Claude Opus 4.8 measured
LMArena WebDev15561474Claude Opus 4.8
AA Coding Index74.360.8Claude Opus 4.8
LiveCodeBench (Vals AI)87.8%82.0%Claude Opus 4.8
SWE-bench Verified (Vals AI)88.6%78.2%Claude Opus 4.8
Terminal-Bench 4 (Vals AI)23.2%Not measuredOnly Claude Opus 4.8 measured
Vibe Code Bench (Vals AI)82.7%47.2%Claude Opus 4.8
Code migration (Vals AI)47.3%25.4%Claude Opus 4.8
ProgramBench (Vals AI)1.0%0.0%Claude Opus 4.8
Terminal-Bench 2.1 (Vals AI)71.9%67.0%Claude Opus 4.8
SkillsBench (Vals AI)59.2%50.0%Claude Opus 4.8
SciCode54.4%47.8%Claude Opus 4.8
Terminal-Bench Hard (Artificial Analysis run)58.3%44.7%Claude Opus 4.8
FrontierCode46.5%30.1%Claude Opus 4.8
GSO-Bench47.1%Not measuredOnly Claude Opus 4.8 measured
WeirdML82.9%54.1%Claude Opus 4.8
ALE-BenchNot measured886.2Only Kimi K2.7 Code measured
LMArena Text: coding1490Not measuredOnly Claude Opus 4.8 measured
LMArena Text: software and IT1488Not measuredOnly Claude Opus 4.8 measured
LMArena WebDev: React15571475Claude Opus 4.8
LMArena WebDev: HTML15431451Claude Opus 4.8
LMArena WebDev: from an imageNot measured1513Only Kimi K2.7 Code measured
SciCode12.3%Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.8 and Kimi K2.7 Code
BenchmarkClaude Opus 4.8Kimi K2.7 CodeLeader
AA Intelligence Index41.825.8Claude Opus 4.8
Epoch Capabilities Index159.0150.1Claude Opus 4.8
Agentic workLike-for-likePublic boards, shown as published, kept out of the index120
Agentic work benchmarks for Claude Opus 4.8 and Kimi K2.7 Code
BenchmarkClaude Opus 4.8Kimi K2.7 CodeLeader
AA Agentic Index41.921.0Claude Opus 4.8
Design Arena: agents building web apps12331176Claude Opus 4.8
Design Arena: agents building full-stack apps12491175Claude Opus 4.8
Design Arena: agents building mobile apps12221143Claude Opus 4.8
Design Arena: agents building Android apps12321137Claude Opus 4.8
Design Arena: agents building Godot games12311147Claude Opus 4.8
Design Arena: agents building games12381131Claude Opus 4.8
Design Arena: HTML slides12211201Claude Opus 4.8
Design Arena: PowerPoint slides12271154Claude Opus 4.8
Design Arena: spreadsheets1270Not measuredOnly Claude Opus 4.8 measured
LiveBench research81.8%Not measuredOnly Claude Opus 4.8 measured
LiveBench browser96.0%Not measuredOnly Claude Opus 4.8 measured
LiveBench long agentic48.3%Not measuredOnly Claude Opus 4.8 measured
Finance Agent (Vals AI)53.9%Not measuredOnly Claude Opus 4.8 measured
Tax Agent Bench (Vals AI)30.0%Not measuredOnly Claude Opus 4.8 measured
Legal Research Bench (Vals AI)43.8%Not measuredOnly Claude Opus 4.8 measured
Excel Modeling Benchmark (Vals AI)69.4%Not measuredOnly Claude Opus 4.8 measured
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly Claude Opus 4.8 measured
Time Horizon Index (Vals AI)11.8%Not measuredOnly Claude Opus 4.8 measured
τ²-Bench Telecom94.4%90.1%Claude Opus 4.8
APEX-Agents48.9%37.6%Claude Opus 4.8
Remote Labor Index8.3%Not measuredOnly Claude Opus 4.8 measured
OSWorld 2.020.6%Not measuredOnly Claude Opus 4.8 measured
DeepResearch Bench50.2%Not measuredOnly Claude Opus 4.8 measured
PostTrainBench33.8%Not measuredOnly Claude Opus 4.8 measured
Vending-Bench 2$5,787$5,083Claude Opus 4.8
LMArena Search1204Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 14 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Claude Opus 4.8 and Kimi K2.7 Code
BenchmarkClaude Opus 4.8Kimi K2.7 CodeLeader
GPQA Diamond92.4%Not measuredOnly Claude Opus 4.8 measured
LiveBench reasoning89.2%Not measuredOnly Claude Opus 4.8 measured
MMMU Pro (Vals AI)86.6%Not measuredOnly Claude Opus 4.8 measured
GPQA Diamond (Artificial Analysis run)92.0%89.6%Claude Opus 4.8
Humanity's Last Exam (Artificial Analysis run)48.7%35.0%Claude Opus 4.8
GPQA Diamond (Epoch AI run)91.0%87.9%Claude Opus 4.8
ARC-AGI92.5%Not measuredOnly Claude Opus 4.8 measured
ARC-AGI-272.1%Not measuredOnly Claude Opus 4.8 measured
SimpleBench64.8%57.9%Claude Opus 4.8
Chess puzzles52.0%14.0%Claude Opus 4.8
Mystery game puzzles36.0%Not measuredOnly Claude Opus 4.8 measured
EBR-bench28.6%Not measuredOnly Claude Opus 4.8 measured
LMArena Text: hard prompts1482Not measuredOnly Claude Opus 4.8 measured
LMArena Text: expert1503Not measuredOnly Claude Opus 4.8 measured
LMArena Text: hard prompts in English1487Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: diagrams1315Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: homework1337Not measuredOnly Claude Opus 4.8 measured
Kagi LLM Benchmark88.8%Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Opus 4.8 and Kimi K2.7 Code
BenchmarkClaude Opus 4.8Kimi K2.7 CodeLeader
OTIS Mock AIME98.3%95.6%Claude Opus 4.8
FrontierMath, tiers 1 to 380.0%54.0%Claude Opus 4.8
FrontierMath, tier 456.1%12.2%Claude Opus 4.8
ProofBench69.0%Not measuredOnly Claude Opus 4.8 measured
LMArena Text: math1486Not measuredOnly Claude Opus 4.8 measured
LMArena Text: mathematical work1497Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
Knowledge benchmarks for Claude Opus 4.8 and Kimi K2.7 Code
BenchmarkClaude Opus 4.8Kimi K2.7 CodeLeader
MMLU Pro89.6%Not measuredOnly Claude Opus 4.8 measured
LegalBench (Vals AI)83.6%Not measuredOnly Claude Opus 4.8 measured
CorpFin (Vals AI)66.7%Not measuredOnly Claude Opus 4.8 measured
TaxEval (Vals AI)75.6%Not measuredOnly Claude Opus 4.8 measured
MortgageTax (Vals AI)69.9%Not measuredOnly Claude Opus 4.8 measured
MedCode (Vals AI)53.2%Not measuredOnly Claude Opus 4.8 measured
SimpleQA Verified53.0%36.5%Claude Opus 4.8
LMArena Text: science1477Not measuredOnly Claude Opus 4.8 measured
LMArena Text: medicine and healthcare1464Not measuredOnly Claude Opus 4.8 measured
LMArena Text: legal and government1477Not measuredOnly Claude Opus 4.8 measured
LMArena Text: business and finance1458Not measuredOnly Claude Opus 4.8 measured
FACTS Benchmark Suite53.5%Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index53
Web design benchmarks for Claude Opus 4.8 and Kimi K2.7 Code
BenchmarkClaude Opus 4.8Kimi K2.7 CodeLeader
Design Arena: websites12591264Kimi K2.7 Code
Design Arena: UI components12571259Kimi K2.7 Code
Design Arena: game dev12641220Claude Opus 4.8
Design Arena: data viz12401227Claude Opus 4.8
Design Arena: 3D12231241Kimi K2.7 Code
Design Arena: all code categories12551253Claude Opus 4.8
Design Arena: SVG11941176Claude Opus 4.8
Design Arena: ASCII art12771196Claude Opus 4.8
LiveBench design78.8%Not measuredOnly Claude Opus 4.8 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index12
General benchmarks for Claude Opus 4.8 and Kimi K2.7 Code
BenchmarkClaude Opus 4.8Kimi K2.7 CodeLeader
LiveBench data analysis66.0%Not measuredOnly Claude Opus 4.8 measured
Public Benefits Bench (Vals AI)68.1%Not measuredOnly Claude Opus 4.8 measured
SAGE (Vals AI)54.8%Not measuredOnly Claude Opus 4.8 measured
MedScribe (Vals AI)85.8%Not measuredOnly Claude Opus 4.8 measured
Vals Multimodal Index70.9%Not measuredOnly Claude Opus 4.8 measured
IFBench62.2%63.1%Kimi K2.7 Code
Long context reasoning (AA-LCR)77.7%79.3%Kimi K2.7 Code
DTBench94.9%Not measuredOnly Claude Opus 4.8 measured
LMCA57.5%Not measuredOnly Claude Opus 4.8 measured
Surface Evolver Bench87.5%48.8%Claude Opus 4.8
Furniture assembly42.5%Not measuredOnly Claude Opus 4.8 measured
LMArena Text1461Not measuredOnly Claude Opus 4.8 measured
LMArena Text: instruction following1476Not measuredOnly Claude Opus 4.8 measured
LMArena Text: creative writing1454Not measuredOnly Claude Opus 4.8 measured
LMArena Vision1294Not measuredOnly Claude Opus 4.8 measured
LMArena Text: English1468Not measuredOnly Claude Opus 4.8 measured
LMArena Text: non-English1450Not measuredOnly Claude Opus 4.8 measured
LMArena Text: Chinese1506Not measuredOnly Claude Opus 4.8 measured
LMArena Text: German1472Not measuredOnly Claude Opus 4.8 measured
LMArena Text: Japanese1442Not measuredOnly Claude Opus 4.8 measured
LMArena Text: Korean1431Not measuredOnly Claude Opus 4.8 measured
LMArena Text: French1481Not measuredOnly Claude Opus 4.8 measured
LMArena Text: Spanish1465Not measuredOnly Claude Opus 4.8 measured
LMArena Text: Russian1474Not measuredOnly Claude Opus 4.8 measured
LMArena Text: Polish1459Not measuredOnly Claude Opus 4.8 measured
LMArena Text: multi-turn1476Not measuredOnly Claude Opus 4.8 measured
LMArena Text: longer queries1483Not measuredOnly Claude Opus 4.8 measured
LMArena Text: writing and language1461Not measuredOnly Claude Opus 4.8 measured
LMArena Text: entertainment and media1440Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: English1293Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: Chinese1346Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: reading text1303Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: humor1282Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: creative writing1301Not measuredOnly Claude Opus 4.8 measured
LMArena Document1475Not measuredOnly Claude Opus 4.8 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 4.8 and Kimi K2.7 Code
BenchmarkClaude Opus 4.8Kimi 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 4.8$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 4.8$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 4.8$1.25Fits in one request
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 4.8 and Kimi K2.7 Code
SpecificationAnthropic Claude Opus 4.8MoonshotAI Kimi K2.7 Code
MakerAnthropicMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedMay 27, 2026June 12, 2026
Context window1M262K
Input $/Mtok$5.00$0.95
Output $/Mtok$25.00$4.00
Coding index65.053.4
Independent measurements behind it64
Cost per solved task$2.17$0.35
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.8 better than Kimi K2.7 Code for coding?

Pick Claude Opus 4.8 for coding: it scores 65.0 on the Vibe Coding Index against 53.4 for Kimi K2.7 Code. Pick Kimi K2.7 Code for output tokens 6.3x cheaper ($4.00 vs $25.00 per million) and a lower cost per solved task ($0.35 against $2.17).

Which is cheaper, Claude Opus 4.8 or Kimi K2.7 Code?

Claude Opus 4.8 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 4.8 costs $2.17 and Kimi K2.7 Code $0.35.

Which has the bigger context window, Claude Opus 4.8 or Kimi K2.7 Code?

Claude Opus 4.8, with 1M tokens against 262K.

How many benchmarks is the Claude Opus 4.8 vs Kimi K2.7 Code comparison based on?

49 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.8's coding index rests on 6 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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