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Claude Opus 4.1 vs Kimi K2 0711

Claude Opus 4.1 leads Kimi K2 0711 on the Artificial Analysis Intelligence Index, 22.8 to 12.7, and Kimi K2 0711 costs 32.6x less per output token ($2.30 vs $75.00 per million). Updated October 22, 2026; 20 benchmarks have a result for both.

Claude Opus 4.1Anthropic
Coding
No data
Overall
50.2
Output $/M
$75.00
18
Kimi K2 0711Moonshot AI
Coding
No data
Overall
No data
Output $/M
$2.30
2
vs boards won of 20 shared

Claude Opus 4.1 or Kimi K2 0711: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Claude Opus 4.1 for a larger context window (200K against 131K tokens) and work measured by LiveCodeBench (Vals AI) or Creative writing (Lech Mazur), where it leads.

Shared results
20
Claude Opus 4.1 only
53
Kimi K2 0711 only
17
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.

At a glance

Coding index
Claude Opus 4.1 not benchmarked, Kimi K2 0711 not benchmarked.
Widest category
Reasoning, 19.3 points apart on average over 2 shared benchmarks.
Widest single gap
SimpleBench: Claude Opus 4.1 60.0% against Kimi K2 0711 26.3%, 33.7 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against Kimi K2 0711 $2.30 per million output tokens, 32.6x apart.
Context window
Claude Opus 4.1 takes 200K tokens, Kimi K2 0711 131K.

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 4.1BarsKimi K2 0711Ties
Coding21
Intelligence20
Reasoning20
Math30
Knowledge40
Web design50
General01
All shared boards182
CodingLike-for-likeSix of these boards feed the Vibe Coding Index21
Coding benchmarks for Claude Opus 4.1 and Kimi K2 0711
BenchmarkClaude Opus 4.1Kimi K2 0711Leader
Aider polyglotNot measured59.1%Only Kimi K2 0711 measured
SWE-bench VerifiedNot measured71.2%Only Kimi K2 0711 measured
LMArena WebDev1390Not measuredOnly Claude Opus 4.1 measured
LiveCodeBench (Vals AI)66.5%70.5%Kimi K2 0711
LiveCodeBench (Artificial Analysis run)Not measured55.6%Only Kimi K2 0711 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured15.9%Only Kimi K2 0711 measured
Terminal-Bench38.0%27.8%Claude Opus 4.1
GSO-BenchNot measured4.9%Only Kimi K2 0711 measured
WeirdML45.9%39.4%Claude Opus 4.1
Cybench42.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: coding1479Not measuredOnly Claude Opus 4.1 measured
LMArena Text: software and IT1456Not measuredOnly Claude Opus 4.1 measured
LMArena WebDev: HTML1399Not measuredOnly Claude Opus 4.1 measured
SciCode4.6%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.1 and Kimi K2 0711
BenchmarkClaude Opus 4.1Kimi K2 0711Leader
AA Intelligence Index22.812.7Claude Opus 4.1
Epoch Capabilities Index144.1140.0Claude Opus 4.1
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Agentic work benchmarks for Claude Opus 4.1 and Kimi K2 0711
BenchmarkClaude Opus 4.1Kimi K2 0711Leader
τ²-Bench TelecomNot measured61.1%Only Kimi K2 0711 measured
METR time horizons66.8%Not measuredOnly Claude Opus 4.1 measured
GDPval43.6%Not measuredOnly Claude Opus 4.1 measured
DeepResearch Bench48.3%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Claude Opus 4.1 and Kimi K2 0711
BenchmarkClaude Opus 4.1Kimi K2 0711Leader
GPQA Diamond76.3%71.5%Claude Opus 4.1
MMMU Pro (Vals AI)77.5%Not measuredOnly Claude Opus 4.1 measured
GPQA Diamond (Artificial Analysis run)Not measured76.6%Only Kimi K2 0711 measured
Humanity's Last Exam (Artificial Analysis run)Not measured7.4%Only Kimi K2 0711 measured
GPQA Diamond (Epoch AI run)77.3%Not measuredOnly Claude Opus 4.1 measured
SimpleBench60.0%26.3%Claude Opus 4.1
Mystery game puzzles21.0%Not measuredOnly Claude Opus 4.1 measured
EBR-bench7.9%Not measuredOnly Claude Opus 4.1 measured
VPCT35.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: hard prompts1442Not measuredOnly Claude Opus 4.1 measured
LMArena Text: expert1438Not measuredOnly Claude Opus 4.1 measured
LMArena Text: hard prompts in English1451Not measuredOnly Claude Opus 4.1 measured
Kagi LLM BenchmarkNot measured64.4%Only Kimi K2 0711 measured
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Opus 4.1 and Kimi K2 0711
BenchmarkClaude Opus 4.1Kimi K2 0711Leader
AIME78.2%62.7%Claude Opus 4.1
MATH 500 (Vals AI)95.4%94.2%Claude Opus 4.1
MGSM (Vals AI)94.4%91.0%Claude Opus 4.1
AA Math IndexNot measured57.0Only Kimi K2 0711 measured
AIME 2025 (Artificial Analysis run)Not measured57.0%Only Kimi K2 0711 measured
OTIS Mock AIME68.9%Not measuredOnly Claude Opus 4.1 measured
FrontierMath, tiers 1 to 312.6%Not measuredOnly Claude Opus 4.1 measured
FrontierMath, tier 42.4%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: math1431Not measuredOnly Claude Opus 4.1 measured
LMArena Text: mathematical work1434Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Claude Opus 4.1 and Kimi K2 0711
BenchmarkClaude Opus 4.1Kimi K2 0711Leader
MMLU Pro87.9%79.4%Claude Opus 4.1
LegalBench (Vals AI)83.5%81.5%Claude Opus 4.1
CorpFin (Vals AI)Not measured50.4%Only Kimi K2 0711 measured
TaxEval (Vals AI)73.7%70.2%Claude Opus 4.1
MortgageTax (Vals AI)61.1%Not measuredOnly Claude Opus 4.1 measured
MedQA (Vals AI)93.6%84.0%Claude Opus 4.1
MedCode (Vals AI)47.2%Not measuredOnly Claude Opus 4.1 measured
MMLU Pro (Artificial Analysis run)Not measured82.4%Only Kimi K2 0711 measured
LMArena Text: science1422Not measuredOnly Claude Opus 4.1 measured
LMArena Text: medicine and healthcare1416Not measuredOnly Claude Opus 4.1 measured
LMArena Text: legal and government1421Not measuredOnly Claude Opus 4.1 measured
LMArena Text: business and finance1406Not measuredOnly Claude Opus 4.1 measured
FACTS Benchmark Suite40.4%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for Claude Opus 4.1 and Kimi K2 0711
BenchmarkClaude Opus 4.1Kimi K2 0711Leader
Design Arena: websites11761050Claude Opus 4.1
Design Arena: UI components11621027Claude Opus 4.1
Design Arena: game dev1171973Claude Opus 4.1
Design Arena: data viz11661018Claude Opus 4.1
Design Arena: 3D1152Not measuredOnly Claude Opus 4.1 measured
Design Arena: all code categories11701033Claude Opus 4.1
Design Arena: SVG1152Not measuredOnly Claude Opus 4.1 measured
Design Arena: ASCII art1167Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
General benchmarks for Claude Opus 4.1 and Kimi K2 0711
BenchmarkClaude Opus 4.1Kimi K2 0711Leader
SAGE (Vals AI)31.4%Not measuredOnly Claude Opus 4.1 measured
MedScribe (Vals AI)73.9%Not measuredOnly Claude Opus 4.1 measured
IFBenchNot measured41.5%Only Kimi K2 0711 measured
Long context reasoning (AA-LCR)Not measured53.0%Only Kimi K2 0711 measured
DTBench80.0%Not measuredOnly Claude Opus 4.1 measured
LMCA37.1%Not measuredOnly Claude Opus 4.1 measured
Fiction.LiveBenchNot measured61.1%Only Kimi K2 0711 measured
Creative writing (Lech Mazur)84.7%85.6%Kimi K2 0711
CL-benchNot measured11.9%Only Kimi K2 0711 measured
LMArena Text1419Not measuredOnly Claude Opus 4.1 measured
LMArena Text: instruction following1435Not measuredOnly Claude Opus 4.1 measured
LMArena Text: creative writing1412Not measuredOnly Claude Opus 4.1 measured
LMArena Text: English1433Not measuredOnly Claude Opus 4.1 measured
LMArena Text: non-English1405Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Chinese1427Not measuredOnly Claude Opus 4.1 measured
LMArena Text: German1413Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Japanese1377Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Korean1381Not measuredOnly Claude Opus 4.1 measured
LMArena Text: French1433Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Spanish1448Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Russian1422Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Polish1413Not measuredOnly Claude Opus 4.1 measured
LMArena Text: multi-turn1444Not measuredOnly Claude Opus 4.1 measured
LMArena Text: longer queries1455Not measuredOnly Claude Opus 4.1 measured
LMArena Text: writing and language1418Not measuredOnly Claude Opus 4.1 measured
LMArena Text: entertainment and media1398Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 20 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.1 and Kimi K2 0711
BenchmarkClaude Opus 4.1Kimi K2 0711Leader
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 4.1$0.052Fits in one request
Kimi K2 0711$0.0017Fits in one request

Kimi K2 0711 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.1$0.975Fits in one request
Kimi K2 0711$0.035Fits in one request

Kimi K2 0711 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.1$3.75Exceeds the context window
Kimi K2 0711$0.137Exceeds the context window

Kimi K2 0711 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 4.1 and Kimi K2 0711
SpecificationAnthropic Claude Opus 4.1MoonshotAI Kimi K2 0711
MakerAnthropicMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedAugust 5, 2025July 11, 2025
Context window200K131K
Input $/Mtok$15.00$0.57
Output $/Mtok$75.00$2.30
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.1 better than Kimi K2 0711 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Claude Opus 4.1 for a larger context window (200K against 131K tokens) and work measured by LiveCodeBench (Vals AI) or Creative writing (Lech Mazur), where it leads.

Which is cheaper, Claude Opus 4.1 or Kimi K2 0711?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; Kimi K2 0711 costs $0.57 and $2.30. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Opus 4.1 or Kimi K2 0711?

Claude Opus 4.1, with 200K tokens against 131K.

How many benchmarks is the Claude Opus 4.1 vs Kimi K2 0711 comparison based on?

20 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark and Kimi K2 0711's on 0. Where only one model has a result, the page says so instead of naming a winner.

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