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Claude Sonnet 4.5 vs Kimi K2 0711

Claude Sonnet 4.5 leads Kimi K2 0711 on the Artificial Analysis Intelligence Index, 20.7 to 12.7, and Kimi K2 0711 costs 6.5x less per output token ($2.30 vs $15.00 per million). Updated October 22, 2026; 22 benchmarks have a result for both.

Claude Sonnet 4.5Anthropic
Coding
39.5
Overall
49.5
Output $/M
$15.00
21
Kimi K2 0711Moonshot AI
Coding
No data
Overall
No data
Output $/M
$2.30
1
vs boards won of 22 shared

Claude Sonnet 4.5 or Kimi K2 0711: which to pick

Only Claude Sonnet 4.5 has a coding score, 39.5 on the Vibe Coding Index; Kimi K2 0711 has none, so the two cannot be ranked on coding.

Pick Kimi K2 0711 for output tokens 6.5x cheaper ($2.30 vs $15.00 per million) and work measured by Kagi LLM Benchmark, where it leads.

Shared results
22
Claude Sonnet 4.5 only
73
Kimi K2 0711 only
15
Like-for-like categories
6 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 Sonnet 4.5 39.5 from 3 benchmarks, Kimi K2 0711 not benchmarked.
Widest category
Web design, 19.3 points apart on average over 5 shared benchmarks.
Widest single gap
SimpleBench: Claude Sonnet 4.5 54.3% against Kimi K2 0711 26.3%, 28.0 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.5 $15.00 against Kimi K2 0711 $2.30 per million output tokens, 6.5x apart.
Context window
Claude Sonnet 4.5 takes 1M 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 Sonnet 4.5BarsKimi K2 0711Ties
Coding50
Intelligence20
Reasoning21
Math20
Knowledge50
Web design50
All shared boards211
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for Claude Sonnet 4.5 and Kimi K2 0711
BenchmarkClaude Sonnet 4.5Kimi K2 0711Leader
Aider polyglotNot measured59.1%Only Kimi K2 0711 measured
SWE-bench Verified74.8%71.2%Claude Sonnet 4.5
SWE-bench Multilingual67.0%Not measuredOnly Claude Sonnet 4.5 measured
LMArena WebDev1394Not measuredOnly Claude Sonnet 4.5 measured
AA Coding Index52.1Not measuredOnly Claude Sonnet 4.5 measured
LiveCodeBench (Vals AI)73.0%70.5%Claude Sonnet 4.5
SWE-bench Verified (Vals AI)70.0%Not measuredOnly Claude Sonnet 4.5 measured
Vibe Code Bench (Vals AI)22.6%Not measuredOnly Claude Sonnet 4.5 measured
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-Bench46.5%27.8%Claude Sonnet 4.5
GSO-Bench14.7%4.9%Claude Sonnet 4.5
WeirdML47.7%39.4%Claude Sonnet 4.5
Cybench60.0%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: coding1488Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: software and IT1473Not measuredOnly Claude Sonnet 4.5 measured
LMArena WebDev: React1386Not measuredOnly Claude Sonnet 4.5 measured
LMArena WebDev: HTML1399Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Sonnet 4.5 and Kimi K2 0711
BenchmarkClaude Sonnet 4.5Kimi K2 0711Leader
AA Intelligence Index20.712.7Claude Sonnet 4.5
Epoch Capabilities Index146.7140.0Claude Sonnet 4.5
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Agentic work benchmarks for Claude Sonnet 4.5 and Kimi K2 0711
BenchmarkClaude Sonnet 4.5Kimi K2 0711Leader
AA Agentic Index15.8Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building web apps1060Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building full-stack apps1050Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building mobile apps1137Not measuredOnly Claude Sonnet 4.5 measured
τ²-Bench TelecomNot measured61.1%Only Kimi K2 0711 measured
METR time horizons67.4%Not measuredOnly Claude Sonnet 4.5 measured
Remote Labor Index2.1%Not measuredOnly Claude Sonnet 4.5 measured
GDPval42.5%Not measuredOnly Claude Sonnet 4.5 measured
DeepResearch Bench52.6%Not measuredOnly Claude Sonnet 4.5 measured
OSWorld62.9%Not measuredOnly Claude Sonnet 4.5 measured
Vending-Bench 2$3,839Not measuredOnly Claude Sonnet 4.5 measured
Berkeley Function Calling Leaderboard (BFCL)73.2%Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index21
Reasoning benchmarks for Claude Sonnet 4.5 and Kimi K2 0711
BenchmarkClaude Sonnet 4.5Kimi K2 0711Leader
GPQA Diamond81.6%71.5%Claude Sonnet 4.5
MMMU Pro (Vals AI)79.3%Not measuredOnly Claude Sonnet 4.5 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)82.3%Not measuredOnly Claude Sonnet 4.5 measured
ARC-AGI63.7%Not measuredOnly Claude Sonnet 4.5 measured
ARC-AGI-213.6%Not measuredOnly Claude Sonnet 4.5 measured
SimpleBench54.3%26.3%Claude Sonnet 4.5
Chess puzzles10.0%Not measuredOnly Claude Sonnet 4.5 measured
Mystery game puzzles17.0%Not measuredOnly Claude Sonnet 4.5 measured
EBR-bench2.4%Not measuredOnly Claude Sonnet 4.5 measured
VPCT39.8%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: hard prompts1462Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: expert1483Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: hard prompts in English1471Not measuredOnly Claude Sonnet 4.5 measured
Kagi LLM Benchmark57.9%64.4%Kimi K2 0711
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Claude Sonnet 4.5 and Kimi K2 0711
BenchmarkClaude Sonnet 4.5Kimi K2 0711Leader
AIME88.2%62.7%Claude Sonnet 4.5
MATH 500 (Vals AI)Not measured94.2%Only Kimi K2 0711 measured
MGSM (Vals AI)94.3%91.0%Claude Sonnet 4.5
AA Math IndexNot measured57.0Only Kimi K2 0711 measured
AIME 2025 (Artificial Analysis run)Not measured57.0%Only Kimi K2 0711 measured
OTIS Mock AIME77.8%Not measuredOnly Claude Sonnet 4.5 measured
FrontierMath, tiers 1 to 323.9%Not measuredOnly Claude Sonnet 4.5 measured
FrontierMath, tier 42.4%Not measuredOnly Claude Sonnet 4.5 measured
ProofBench19.0%Not measuredOnly Claude Sonnet 4.5 measured
MATH level 597.7%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: math1449Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: mathematical work1462Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Claude Sonnet 4.5 and Kimi K2 0711
BenchmarkClaude Sonnet 4.5Kimi K2 0711Leader
MMLU Pro87.4%79.4%Claude Sonnet 4.5
LegalBench (Vals AI)84.1%81.5%Claude Sonnet 4.5
CaseLaw (Vals AI)62.2%Not measuredOnly Claude Sonnet 4.5 measured
CorpFin (Vals AI)62.0%50.4%Claude Sonnet 4.5
TaxEval (Vals AI)73.3%70.2%Claude Sonnet 4.5
MortgageTax (Vals AI)64.0%Not measuredOnly Claude Sonnet 4.5 measured
MedQA (Vals AI)94.7%84.0%Claude Sonnet 4.5
MedCode (Vals AI)44.1%Not measuredOnly Claude Sonnet 4.5 measured
MMLU Pro (Artificial Analysis run)Not measured82.4%Only Kimi K2 0711 measured
SimpleQA Verified30.7%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: science1448Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: medicine and healthcare1444Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: legal and government1451Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: business and finance1440Not measuredOnly Claude Sonnet 4.5 measured
FACTS Benchmark Suite40.6%Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for Claude Sonnet 4.5 and Kimi K2 0711
BenchmarkClaude Sonnet 4.5Kimi K2 0711Leader
Design Arena: websites11891050Claude Sonnet 4.5
Design Arena: UI components11701027Claude Sonnet 4.5
Design Arena: game dev1166973Claude Sonnet 4.5
Design Arena: data viz11671018Claude Sonnet 4.5
Design Arena: 3D1157Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: all code categories11821033Claude Sonnet 4.5
Design Arena: SVG1115Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: ASCII art1205Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index27 boards, none shared
General benchmarks for Claude Sonnet 4.5 and Kimi K2 0711
BenchmarkClaude Sonnet 4.5Kimi K2 0711Leader
SAGE (Vals AI)36.1%Not measuredOnly Claude Sonnet 4.5 measured
MedScribe (Vals AI)84.5%Not measuredOnly Claude Sonnet 4.5 measured
IFBenchNot measured41.5%Only Kimi K2 0711 measured
Long context reasoning (AA-LCR)Not measured53.0%Only Kimi K2 0711 measured
DTBench83.2%Not measuredOnly Claude Sonnet 4.5 measured
LMCA38.8%Not measuredOnly Claude Sonnet 4.5 measured
Fiction.LiveBenchNot measured61.1%Only Kimi K2 0711 measured
Creative writing (Lech Mazur)Not measured85.6%Only Kimi K2 0711 measured
CL-benchNot measured11.9%Only Kimi K2 0711 measured
LMArena Text1438Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: instruction following1459Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: creative writing1442Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: English1450Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: non-English1425Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: Chinese1460Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: German1427Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: Japanese1390Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: Korean1402Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: French1459Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: Spanish1458Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: Russian1437Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: Polish1423Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: multi-turn1465Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: longer queries1475Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: writing and language1442Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: entertainment and media1428Not measuredOnly Claude Sonnet 4.5 measured
LMArena Document1450Not measuredOnly Claude Sonnet 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 Sonnet 4.5 and Kimi K2 0711
BenchmarkClaude Sonnet 4.5Kimi 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 Sonnet 4.5$0.011Fits in one request
Kimi K2 0711$0.0017Fits in one request

Kimi K2 0711 costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 4.5$0.195Fits in one request
Kimi K2 0711$0.035Fits in one request

Kimi K2 0711 costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 4.5$0.750Fits in one request
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 Sonnet 4.5 and Kimi K2 0711
SpecificationAnthropic Claude Sonnet 4.5MoonshotAI Kimi K2 0711
MakerAnthropicMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedSeptember 29, 2025July 11, 2025
Context window1M131K
Input $/Mtok$3.00$0.57
Output $/Mtok$15.00$2.30
Coding index39.5Not benchmarked
Independent measurements behind it30
Cost per solved task$1.16Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.5 better than Kimi K2 0711 for coding?

Only Claude Sonnet 4.5 has a coding score, 39.5 on the Vibe Coding Index; Kimi K2 0711 has none, so the two cannot be ranked on coding. Pick Kimi K2 0711 for output tokens 6.5x cheaper ($2.30 vs $15.00 per million) and work measured by Kagi LLM Benchmark, where it leads.

Which is cheaper, Claude Sonnet 4.5 or Kimi K2 0711?

Claude Sonnet 4.5 costs $3.00 per million input tokens and $15.00 per million output tokens; Kimi K2 0711 costs $0.57 and $2.30. Cost per solved task is known for Claude Sonnet 4.5 only.

Which has the bigger context window, Claude Sonnet 4.5 or Kimi K2 0711?

Claude Sonnet 4.5, with 1M tokens against 131K.

How many benchmarks is the Claude Sonnet 4.5 vs Kimi K2 0711 comparison based on?

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