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Claude Opus 4.7 vs Kimi K2 Thinking

Claude Opus 4.7 leads Kimi K2 Thinking on the Artificial Analysis Intelligence Index, 40.7 to 22.0, and Kimi K2 Thinking costs 10.0x less per output token ($2.50 vs $25.00 per million). Updated October 22, 2026; 19 benchmarks have a result for both.

Claude Opus 4.7Anthropic
Coding
67.5
Overall
71.6
Output $/M
$25.00
17
Kimi K2 ThinkingMoonshot AI
Coding
No data
Overall
No data
Output $/M
$2.50
2
vs boards won of 19 shared

Claude Opus 4.7 or Kimi K2 Thinking: which to pick

Only Claude Opus 4.7 has a coding score, 67.5 on the Vibe Coding Index; Kimi K2 Thinking has none, so the two cannot be ranked on coding.

Pick Kimi K2 Thinking for output tokens 10.0x cheaper ($2.50 vs $25.00 per million) and a lower cost per solved task ($0.61 against $2.95).

Shared results
19
Claude Opus 4.7 only
84
Kimi K2 Thinking only
11
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 4.7 67.5 from 4 benchmarks, Kimi K2 Thinking not benchmarked.
Widest category
Coding, 29.1 points apart on average over 5 shared benchmarks.
Widest single gap
Terminal-Bench: Claude Opus 4.7 80.2% against Kimi K2 Thinking 35.7%, 44.5 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.7 $25.00 against Kimi K2 Thinking $2.50 per million output tokens, 10.0x apart.
Context window
Claude Opus 4.7 takes 1M tokens, Kimi K2 Thinking 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 4.7BarsKimi K2 ThinkingTies
Coding50
Intelligence20
Agentic work01
Reasoning30
Math10
Knowledge50
General11
All shared boards172
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for Claude Opus 4.7 and Kimi K2 Thinking
BenchmarkClaude Opus 4.7Kimi K2 ThinkingLeader
SWE-bench VerifiedNot measured63.4%Only Kimi K2 Thinking measured
LMArena WebDev1558Not measuredOnly Claude Opus 4.7 measured
AA Coding Index73.6Not measuredOnly Claude Opus 4.7 measured
LiveCodeBench (Vals AI)85.1%63.1%Claude Opus 4.7
SWE-bench Verified (Vals AI)82.0%60.2%Claude Opus 4.7
Vibe Code Bench (Vals AI)71.0%Not measuredOnly Claude Opus 4.7 measured
Code migration (Vals AI)43.9%Not measuredOnly Claude Opus 4.7 measured
ProgramBench (Vals AI)0.0%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench 2.1 (Vals AI)68.5%Not measuredOnly Claude Opus 4.7 measured
LiveCodeBench (Artificial Analysis run)Not measured85.3%Only Kimi K2 Thinking measured
Terminal-Bench Hard (Artificial Analysis run)54.5%31.1%Claude Opus 4.7
Terminal-Bench80.2%35.7%Claude Opus 4.7
FrontierCode38.5%Not measuredOnly Claude Opus 4.7 measured
GSO-Bench44.1%Not measuredOnly Claude Opus 4.7 measured
WeirdML76.4%42.8%Claude Opus 4.7
MirrorCode31.1%Not measuredOnly Claude Opus 4.7 measured
ALE-BenchNot measured597.5Only Kimi K2 Thinking measured
LMArena Text: coding1519Not measuredOnly Claude Opus 4.7 measured
LMArena Text: software and IT1516Not measuredOnly Claude Opus 4.7 measured
LMArena WebDev: React1560Not measuredOnly Claude Opus 4.7 measured
LMArena WebDev: HTML1554Not measuredOnly Claude Opus 4.7 measured
LMArena WebDev: from an image1577Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.7 and Kimi K2 Thinking
BenchmarkClaude Opus 4.7Kimi K2 ThinkingLeader
AA Intelligence Index40.722.0Claude Opus 4.7
Epoch Capabilities Index156.8145.8Claude Opus 4.7
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Claude Opus 4.7 and Kimi K2 Thinking
BenchmarkClaude Opus 4.7Kimi K2 ThinkingLeader
AA Agentic Index38.6Not measuredOnly Claude Opus 4.7 measured
Finance Agent (Vals AI)51.5%Not measuredOnly Claude Opus 4.7 measured
Tax Agent Bench (Vals AI)23.7%Not measuredOnly Claude Opus 4.7 measured
Legal Research Bench (Vals AI)38.5%Not measuredOnly Claude Opus 4.7 measured
Excel Modeling Benchmark (Vals AI)63.7%Not measuredOnly Claude Opus 4.7 measured
τ²-Bench Telecom88.6%93.0%Kimi K2 Thinking
APEX-Agents49.2%Not measuredOnly Claude Opus 4.7 measured
METR time horizonsNot measured59.2%Only Kimi K2 Thinking measured
OSWorld 2.018.2%Not measuredOnly Claude Opus 4.7 measured
PostTrainBench28.6%Not measuredOnly Claude Opus 4.7 measured
Vending-Bench 2$10,937Not measuredOnly Claude Opus 4.7 measured
LMArena Search1230Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for Claude Opus 4.7 and Kimi K2 Thinking
BenchmarkClaude Opus 4.7Kimi K2 ThinkingLeader
GPQA Diamond90.2%78.5%Claude Opus 4.7
MMMU Pro (Vals AI)85.5%Not measuredOnly Claude Opus 4.7 measured
GPQA Diamond (Artificial Analysis run)91.4%83.8%Claude Opus 4.7
Humanity's Last Exam (Artificial Analysis run)42.3%23.8%Claude Opus 4.7
GPQA Diamond (Epoch AI run)90.2%Not measuredOnly Claude Opus 4.7 measured
ARC-AGI93.5%Not measuredOnly Claude Opus 4.7 measured
ARC-AGI-275.8%Not measuredOnly Claude Opus 4.7 measured
SimpleBench61.7%Not measuredOnly Claude Opus 4.7 measured
Chess puzzles41.0%Not measuredOnly Claude Opus 4.7 measured
Mystery game puzzles28.0%Not measuredOnly Claude Opus 4.7 measured
EBR-bench19.0%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: hard prompts1506Not measuredOnly Claude Opus 4.7 measured
LMArena Text: expert1521Not measuredOnly Claude Opus 4.7 measured
LMArena Text: hard prompts in English1508Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: diagrams1336Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: homework1337Not measuredOnly Claude Opus 4.7 measured
Kagi LLM Benchmark80.7%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index10
Math benchmarks for Claude Opus 4.7 and Kimi K2 Thinking
BenchmarkClaude Opus 4.7Kimi K2 ThinkingLeader
AIME96.3%85.4%Claude Opus 4.7
MGSM (Vals AI)Not measured90.2%Only Kimi K2 Thinking measured
AA Math IndexNot measured94.7Only Kimi K2 Thinking measured
AIME 2025 (Artificial Analysis run)Not measured94.7%Only Kimi K2 Thinking measured
OTIS Mock AIME97.8%Not measuredOnly Claude Opus 4.7 measured
FrontierMath, tiers 1 to 370.2%Not measuredOnly Claude Opus 4.7 measured
FrontierMath, tier 431.7%Not measuredOnly Claude Opus 4.7 measured
ProofBench54.0%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: math1498Not measuredOnly Claude Opus 4.7 measured
LMArena Text: mathematical work1509Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Claude Opus 4.7 and Kimi K2 Thinking
BenchmarkClaude Opus 4.7Kimi K2 ThinkingLeader
MMLU Pro89.9%81.1%Claude Opus 4.7
LegalBench (Vals AI)85.3%80.2%Claude Opus 4.7
CaseLaw (Vals AI)68.4%65.7%Claude Opus 4.7
CorpFin (Vals AI)66.1%60.6%Claude Opus 4.7
TaxEval (Vals AI)75.3%71.7%Claude Opus 4.7
MortgageTax (Vals AI)70.3%Not measuredOnly Claude Opus 4.7 measured
MedQA (Vals AI)Not measured92.6%Only Kimi K2 Thinking measured
MedCode (Vals AI)54.9%Not measuredOnly Claude Opus 4.7 measured
MMLU Pro (Artificial Analysis run)Not measured84.8%Only Kimi K2 Thinking measured
SimpleQA Verified51.7%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: science1508Not measuredOnly Claude Opus 4.7 measured
LMArena Text: medicine and healthcare1495Not measuredOnly Claude Opus 4.7 measured
LMArena Text: legal and government1504Not measuredOnly Claude Opus 4.7 measured
LMArena Text: business and finance1490Not measuredOnly Claude Opus 4.7 measured
FACTS Benchmark Suite45.5%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 3 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Web design benchmarks for Claude Opus 4.7 and Kimi K2 Thinking
BenchmarkClaude Opus 4.7Kimi K2 ThinkingLeader
Design Arena: websitesNot measured1113Only Kimi K2 Thinking measured
Neither model has a result on the other 8 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index11
General benchmarks for Claude Opus 4.7 and Kimi K2 Thinking
BenchmarkClaude Opus 4.7Kimi K2 ThinkingLeader
SAGE (Vals AI)56.1%Not measuredOnly Claude Opus 4.7 measured
MedScribe (Vals AI)83.0%Not measuredOnly Claude Opus 4.7 measured
Vals Multimodal Index67.4%Not measuredOnly Claude Opus 4.7 measured
IFBench58.6%68.1%Kimi K2 Thinking
Long context reasoning (AA-LCR)78.7%72.0%Claude Opus 4.7
DTBench94.7%Not measuredOnly Claude Opus 4.7 measured
LMCA52.2%Not measuredOnly Claude Opus 4.7 measured
CL-benchNot measured17.6%Only Kimi K2 Thinking measured
Furniture assembly33.3%Not measuredOnly Claude Opus 4.7 measured
ExploitBench26.5%Not measuredOnly Claude Opus 4.7 measured
LMArena Text1490Not measuredOnly Claude Opus 4.7 measured
LMArena Text: instruction following1498Not measuredOnly Claude Opus 4.7 measured
LMArena Text: creative writing1486Not measuredOnly Claude Opus 4.7 measured
LMArena Vision1317Not measuredOnly Claude Opus 4.7 measured
LMArena Text: English1496Not measuredOnly Claude Opus 4.7 measured
LMArena Text: non-English1480Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Chinese1531Not measuredOnly Claude Opus 4.7 measured
LMArena Text: German1495Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Japanese1474Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Korean1464Not measuredOnly Claude Opus 4.7 measured
LMArena Text: French1503Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Spanish1494Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Russian1494Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Polish1489Not measuredOnly Claude Opus 4.7 measured
LMArena Text: multi-turn1505Not measuredOnly Claude Opus 4.7 measured
LMArena Text: longer queries1505Not measuredOnly Claude Opus 4.7 measured
LMArena Text: writing and language1492Not measuredOnly Claude Opus 4.7 measured
LMArena Text: entertainment and media1474Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: English1322Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: Chinese1371Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: reading text1327Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: humor1309Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: recognizing things1278Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: creative writing1326Not measuredOnly Claude Opus 4.7 measured
LMArena Document1495Not measuredOnly Claude Opus 4.7 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 4.7 and Kimi K2 Thinking
BenchmarkClaude Opus 4.7Kimi K2 ThinkingLeader
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 4.7$0.018Fits in one request
Kimi K2 Thinking$0.0019Fits in one request

Kimi K2 Thinking costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.7$0.325Fits in one request
Kimi K2 Thinking$0.037Fits in one request

Kimi K2 Thinking costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.7$1.25Fits in one request
Kimi K2 Thinking$0.145Fits in one request

Kimi K2 Thinking 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 4.7 and Kimi K2 Thinking
SpecificationAnthropic Claude Opus 4.7MoonshotAI Kimi K2 Thinking
MakerAnthropicMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedApril 16, 2026November 6, 2025
Context window1M262K
Input $/Mtok$5.00$0.60
Output $/Mtok$25.00$2.50
Coding index67.5Not benchmarked
Independent measurements behind it41
Cost per solved task$2.95$0.61
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.7 better than Kimi K2 Thinking for coding?

Only Claude Opus 4.7 has a coding score, 67.5 on the Vibe Coding Index; Kimi K2 Thinking has none, so the two cannot be ranked on coding. Pick Kimi K2 Thinking for output tokens 10.0x cheaper ($2.50 vs $25.00 per million) and a lower cost per solved task ($0.61 against $2.95).

Which is cheaper, Claude Opus 4.7 or Kimi K2 Thinking?

Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens; Kimi K2 Thinking costs $0.60 and $2.50. Per solved SWE-bench Verified task, Claude Opus 4.7 costs $2.95 and Kimi K2 Thinking $0.61.

Which has the bigger context window, Claude Opus 4.7 or Kimi K2 Thinking?

Claude Opus 4.7, with 1M tokens against 262K.

How many benchmarks is the Claude Opus 4.7 vs Kimi K2 Thinking comparison based on?

19 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.7's coding index rests on 4 independent benchmarks and Kimi K2 Thinking's on 1. Where only one model has a result, the page says so instead of naming a winner.

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