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Claude Opus 4.8 vs Kimi K2.5

Claude Opus 4.8 leads Kimi K2.5 on coding, 65.0 to 38.6 on the Vibe Coding Index, and Kimi K2.5 costs 8.8x less per output token ($2.85 vs $25.00 per million). Updated October 22, 2026; 85 benchmarks have a result for both.

Replace Claude Opus 4.8 Replace Kimi K2.5
Claude Opus 4.8Anthropic
Coding
65.0
Overall
69.8
Output $/M
$25.00
80
Kimi K2.5Moonshot AI
Coding
38.6
Overall
44.8
Output $/M
$2.85
5
vs boards won of 85 shared

Claude Opus 4.8 or Kimi K2.5: which to pick

Pick Claude Opus 4.8 for coding: it scores 65.0 on the Vibe Coding Index against 38.6 for Kimi K2.5.

Pick Kimi K2.5 for output tokens 8.8x cheaper ($2.85 vs $25.00 per million) and a lower cost per solved task ($0.24 against $2.17).

Model AClaude Opus 4.8Anthropic65.0/1006 independent benchmarks$2.17 per solved taskModel BKimi K2.5Moonshot AI38.6/1003 independent benchmarks$0.24 per solved task
Shared results
85
Claude Opus 4.8 only
45
Kimi K2.5 only
14
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 K2.5 38.6 from 3 benchmarks.
Widest category
Coding, 23.7 points apart on average over 13 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Opus 4.8 82.7% against Kimi K2.5 17.5%, 65.2 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.8 $25.00 against Kimi K2.5 $2.85 per million output tokens, 8.8x apart.
Context window
Claude Opus 4.8 takes 1M tokens, Kimi K2.5 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 K2.5Ties
Coding130
Intelligence20
Agentic work91
Reasoning130
Math20
Knowledge91
Web design80
General243
All shared boards805
CodingLike-for-likeSix of these boards feed the Vibe Coding Index130
Coding benchmarks for Claude Opus 4.8 and Kimi K2.5
BenchmarkClaude Opus 4.8Kimi K2.5Leader
SWE-bench VerifiedNot measured70.8%Only Kimi K2.5 measured
SWE-bench MultilingualNot measured67.3%Only Kimi K2.5 measured
LiveBench coding77.3%Not measuredOnly Claude Opus 4.8 measured
LMArena WebDev15561437Claude Opus 4.8
AA Coding Index74.346.8Claude Opus 4.8
LiveCodeBench (Vals AI)87.8%83.9%Claude Opus 4.8
SWE-bench Verified (Vals AI)88.6%70.0%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%17.5%Claude Opus 4.8
Code migration (Vals AI)47.3%7.0%Claude Opus 4.8
ProgramBench (Vals AI)1.0%Not measuredOnly Claude Opus 4.8 measured
Terminal-Bench 2.1 (Vals AI)71.9%42.0%Claude Opus 4.8
SkillsBench (Vals AI)59.2%Not measuredOnly Claude Opus 4.8 measured
SciCode54.4%Not measuredOnly Claude Opus 4.8 measured
Terminal-Bench Hard (Artificial Analysis run)58.3%34.8%Claude Opus 4.8
Terminal-BenchNot measured43.2%Only Kimi K2.5 measured
FrontierCode46.5%Not measuredOnly Claude Opus 4.8 measured
GSO-Bench47.1%Not measuredOnly Claude Opus 4.8 measured
WeirdML82.9%45.6%Claude Opus 4.8
ALE-BenchNot measured821.6Only Kimi K2.5 measured
LMArena Text: coding14901483Claude Opus 4.8
LMArena Text: software and IT14881471Claude Opus 4.8
LMArena WebDev: React15571429Claude Opus 4.8
LMArena WebDev: HTML15431426Claude Opus 4.8
LMArena WebDev: from an imageNot measured1439Only Kimi K2.5 measured
SciCode12.3%Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.8 and Kimi K2.5
BenchmarkClaude Opus 4.8Kimi K2.5Leader
AA Intelligence Index41.823.5Claude Opus 4.8
Epoch Capabilities Index159.0148.1Claude Opus 4.8
Agentic workLike-for-likePublic boards, shown as published, kept out of the index91
Agentic work benchmarks for Claude Opus 4.8 and Kimi K2.5
BenchmarkClaude Opus 4.8Kimi K2.5Leader
AA Agentic Index41.9Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building web apps12331136Claude Opus 4.8
Design Arena: agents building full-stack apps12491114Claude Opus 4.8
Design Arena: agents building mobile apps12221147Claude Opus 4.8
Design Arena: agents building Android apps12331118Claude Opus 4.8
Design Arena: agents building Godot games12311219Claude Opus 4.8
Design Arena: agents building games1239Not measuredOnly Claude Opus 4.8 measured
Design Arena: HTML slides1171Not measuredOnly Claude Opus 4.8 measured
Design Arena: PowerPoint slides1202Not measuredOnly Claude Opus 4.8 measured
Design Arena: spreadsheets1303Not 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%35.8%Claude Opus 4.8
Tax Agent Bench (Vals AI)30.0%Not measuredOnly Claude Opus 4.8 measured
Legal Research Bench (Vals AI)43.8%15.9%Claude Opus 4.8
Excel Modeling Benchmark (Vals AI)69.4%28.5%Claude Opus 4.8
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%95.9%Kimi K2.5
APEX-Agents48.9%Not measuredOnly Claude Opus 4.8 measured
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
OSWorldNot measured63.3%Only Kimi K2.5 measured
Vending-Bench 2$5,787$1,198Claude Opus 4.8
LMArena Search1204Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 13 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index130
Reasoning benchmarks for Claude Opus 4.8 and Kimi K2.5
BenchmarkClaude Opus 4.8Kimi K2.5Leader
GPQA Diamond92.4%84.1%Claude Opus 4.8
LiveBench reasoning89.2%Not measuredOnly Claude Opus 4.8 measured
MMMU Pro (Vals AI)86.6%84.3%Claude Opus 4.8
GPQA Diamond (Artificial Analysis run)92.0%87.9%Claude Opus 4.8
Humanity's Last Exam (Artificial Analysis run)48.7%30.7%Claude Opus 4.8
GPQA Diamond (Epoch AI run)91.0%Not measuredOnly Claude Opus 4.8 measured
ARC-AGI92.5%65.3%Claude Opus 4.8
ARC-AGI-272.1%11.8%Claude Opus 4.8
SimpleBench64.8%46.8%Claude Opus 4.8
Chess puzzles52.0%Not measuredOnly Claude Opus 4.8 measured
Mystery game puzzles36.0%Not measuredOnly Claude Opus 4.8 measured
EBR-bench28.6%Not measuredOnly Claude Opus 4.8 measured
LMArena Text: hard prompts14821453Claude Opus 4.8
LMArena Text: expert15031466Claude Opus 4.8
LMArena Text: hard prompts in English14871460Claude Opus 4.8
LMArena Vision: diagrams13151282Claude Opus 4.8
LMArena Vision: homework13371297Claude Opus 4.8
Kagi LLM Benchmark88.8%78.5%Claude Opus 4.8
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Claude Opus 4.8 and Kimi K2.5
BenchmarkClaude Opus 4.8Kimi K2.5Leader
AIMENot measured95.6%Only Kimi K2.5 measured
OTIS Mock AIME98.3%Not measuredOnly Claude Opus 4.8 measured
FrontierMath, tiers 1 to 380.0%Not measuredOnly Claude Opus 4.8 measured
FrontierMath, tier 456.1%Not measuredOnly Claude Opus 4.8 measured
ProofBench69.0%Not measuredOnly Claude Opus 4.8 measured
LMArena Text: math14861470Claude Opus 4.8
LMArena Text: mathematical work14971473Claude Opus 4.8
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index91
Knowledge benchmarks for Claude Opus 4.8 and Kimi K2.5
BenchmarkClaude Opus 4.8Kimi K2.5Leader
MMLU Pro89.6%85.9%Claude Opus 4.8
LegalBench (Vals AI)83.6%Not measuredOnly Claude Opus 4.8 measured
CaseLaw (Vals AI)Not measured58.7%Only Kimi K2.5 measured
CorpFin (Vals AI)66.7%68.3%Kimi K2.5
TaxEval (Vals AI)75.6%74.2%Claude Opus 4.8
MortgageTax (Vals AI)69.9%66.5%Claude Opus 4.8
MedQA (Vals AI)Not measured94.4%Only Kimi K2.5 measured
MedCode (Vals AI)53.2%39.3%Claude Opus 4.8
SimpleQA Verified53.0%34.3%Claude Opus 4.8
LMArena Text: science14771459Claude Opus 4.8
LMArena Text: medicine and healthcare14641448Claude Opus 4.8
LMArena Text: legal and government14771441Claude Opus 4.8
LMArena Text: business and finance14581427Claude Opus 4.8
FACTS Benchmark Suite53.5%Not measuredOnly Claude Opus 4.8 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 4.8 and Kimi K2.5
BenchmarkClaude Opus 4.8Kimi K2.5Leader
Design Arena: websites12581248Claude Opus 4.8
Design Arena: UI components12551234Claude Opus 4.8
Design Arena: game dev12641206Claude Opus 4.8
Design Arena: data viz12401219Claude Opus 4.8
Design Arena: 3D12221204Claude Opus 4.8
Design Arena: all code categories12551236Claude Opus 4.8
Design Arena: SVG11951149Claude Opus 4.8
Design Arena: ASCII art12771166Claude Opus 4.8
LiveBench design78.8%Not measuredOnly Claude Opus 4.8 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index243
General benchmarks for Claude Opus 4.8 and Kimi K2.5
BenchmarkClaude Opus 4.8Kimi K2.5Leader
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%49.9%Claude Opus 4.8
MedScribe (Vals AI)85.8%76.4%Claude Opus 4.8
Vals Multimodal Index70.9%Not measuredOnly Claude Opus 4.8 measured
IFBench62.2%70.2%Kimi K2.5
Long context reasoning (AA-LCR)77.7%78.0%Kimi K2.5
DTBench94.9%Not measuredOnly Claude Opus 4.8 measured
LMCA57.5%Not measuredOnly Claude Opus 4.8 measured
Fiction.LiveBenchNot measured86.1%Only Kimi K2.5 measured
CL-benchNot measured19.3%Only Kimi K2.5 measured
Surface Evolver Bench87.5%Not measuredOnly Claude Opus 4.8 measured
Furniture assembly42.5%Not measuredOnly Claude Opus 4.8 measured
CL-bench LifeNot measured13.2%Only Kimi K2.5 measured
LMArena Text14611445Claude Opus 4.8
LMArena Text: instruction following14761431Claude Opus 4.8
LMArena Text: creative writing14541422Claude Opus 4.8
LMArena Vision12941269Claude Opus 4.8
LMArena Text: English14681453Claude Opus 4.8
LMArena Text: non-English14501433Claude Opus 4.8
LMArena Text: Chinese15061494Claude Opus 4.8
LMArena Text: German14721441Claude Opus 4.8
LMArena Text: Japanese14421423Claude Opus 4.8
LMArena Text: Korean14311412Claude Opus 4.8
LMArena Text: French14811454Claude Opus 4.8
LMArena Text: Spanish14651450Claude Opus 4.8
LMArena Text: Russian14741435Claude Opus 4.8
LMArena Text: Polish14591445Claude Opus 4.8
LMArena Text: multi-turn14761444Claude Opus 4.8
LMArena Text: longer queries14831445Claude Opus 4.8
LMArena Text: writing and language14611425Claude Opus 4.8
LMArena Text: entertainment and media14401417Claude Opus 4.8
LMArena Vision: English12931274Claude Opus 4.8
LMArena Vision: Chinese13461328Claude Opus 4.8
LMArena Vision: reading text13031276Claude Opus 4.8
LMArena Vision: humor12821284Kimi K2.5
LMArena Vision: captioningNot measured1257Only Kimi K2.5 measured
LMArena Vision: recognizing thingsNot measured1285Only Kimi K2.5 measured
LMArena Vision: creative writing13011269Claude Opus 4.8
LMArena Document1475Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 6 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 K2.5
BenchmarkClaude Opus 4.8Kimi K2.5Leader
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 K2.5$0.0020Fits in one request

Kimi K2.5 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.8$0.325Fits in one request
Kimi K2.5$0.035Fits in one request

Kimi K2.5 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.8$1.25Fits in one request
Kimi K2.5$0.135Fits in one request

Kimi K2.5 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 K2.5
SpecificationAnthropic Claude Opus 4.8MoonshotAI Kimi K2.5
MakerAnthropicMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedMay 27, 2026January 27, 2026
Context window1M262K
Input $/Mtok$5.00$0.532
Output $/Mtok$25.00$2.85
Coding index65.038.6
Independent measurements behind it63
Cost per solved task$2.17$0.24
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.8 better than Kimi K2.5 for coding?

Pick Claude Opus 4.8 for coding: it scores 65.0 on the Vibe Coding Index against 38.6 for Kimi K2.5. Pick Kimi K2.5 for output tokens 8.8x cheaper ($2.85 vs $25.00 per million) and a lower cost per solved task ($0.24 against $2.17).

Which is cheaper, Claude Opus 4.8 or Kimi K2.5?

Claude Opus 4.8 costs $5.00 per million input tokens and $25.00 per million output tokens; Kimi K2.5 costs $0.532 and $2.85. Per solved SWE-bench Verified task, Claude Opus 4.8 costs $2.17 and Kimi K2.5 $0.24.

Which has the bigger context window, Claude Opus 4.8 or Kimi K2.5?

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

How many benchmarks is the Claude Opus 4.8 vs Kimi K2.5 comparison based on?

85 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.8's coding index rests on 6 independent benchmarks and Kimi K2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.

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