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Claude Opus 4.7 vs Kimi K2.5

Claude Opus 4.7 leads Kimi K2.5 on coding, 67.5 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 21, 2026; 77 benchmarks have a result for both.

Claude Opus 4.7Anthropic
Coding
67.5
Overall
71.6
Output $/M
$25.00
73
Kimi K2.5Moonshot AI
Coding
38.6
Overall
44.8
Output $/M
$2.85
4
vs boards won of 77 shared

Claude Opus 4.7 or Kimi K2.5: which to pick

Pick Claude Opus 4.7 for coding: it scores 67.5 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 $2.95).

Shared results
77
Claude Opus 4.7 only
26
Kimi K2.5 only
22
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 K2.5 38.6 from 3 benchmarks.
Widest category
Agentic work, 28.3 points apart on average over 5 shared benchmarks.
Widest single gap
ARC-AGI-2: Claude Opus 4.7 75.8% against Kimi K2.5 11.8%, 64.0 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.7 $25.00 against Kimi K2.5 $2.85 per million output tokens, 8.8x apart.
Context window
Claude Opus 4.7 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 4.7BarsKimi K2.5Ties
Coding150
Intelligence20
Agentic work41
Reasoning130
Math30
Knowledge101
General262
All shared boards734
CodingLike-for-likeSix of these boards feed the Vibe Coding Index150
Coding benchmarks for Claude Opus 4.7 and Kimi K2.5
BenchmarkClaude Opus 4.7Kimi K2.5Leader
SWE-bench VerifiedNot measured70.8%Only Kimi K2.5 measured
SWE-bench MultilingualNot measured67.3%Only Kimi K2.5 measured
LMArena WebDev15581437Claude Opus 4.7
AA Coding Index73.646.8Claude Opus 4.7
LiveCodeBench (Vals AI)85.1%83.9%Claude Opus 4.7
SWE-bench Verified (Vals AI)82.0%70.0%Claude Opus 4.7
Vibe Code Bench (Vals AI)71.0%17.5%Claude Opus 4.7
Code migration (Vals AI)43.9%7.0%Claude Opus 4.7
ProgramBench (Vals AI)0.0%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench 2.1 (Vals AI)68.5%42.0%Claude Opus 4.7
Terminal-Bench Hard (Artificial Analysis run)54.5%34.8%Claude Opus 4.7
Terminal-Bench80.2%43.2%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%45.6%Claude Opus 4.7
MirrorCode31.1%Not measuredOnly Claude Opus 4.7 measured
ALE-BenchNot measured821.6Only Kimi K2.5 measured
LMArena Text: coding15191483Claude Opus 4.7
LMArena Text: software and IT15161471Claude Opus 4.7
LMArena WebDev: React15601429Claude Opus 4.7
LMArena WebDev: HTML15541426Claude Opus 4.7
LMArena WebDev: from an image15771439Claude Opus 4.7
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 K2.5
BenchmarkClaude Opus 4.7Kimi K2.5Leader
AA Intelligence Index40.723.5Claude Opus 4.7
Epoch Capabilities Index156.8148.1Claude Opus 4.7
Agentic workLike-for-likePublic boards, shown as published, kept out of the index41
Agentic work benchmarks for Claude Opus 4.7 and Kimi K2.5
BenchmarkClaude Opus 4.7Kimi K2.5Leader
AA Agentic Index38.6Not measuredOnly Claude Opus 4.7 measured
Design Arena: agents building web appsNot measured1136Only Kimi K2.5 measured
Design Arena: agents building full-stack appsNot measured1114Only Kimi K2.5 measured
Design Arena: agents building mobile appsNot measured1147Only Kimi K2.5 measured
Design Arena: agents building Android appsNot measured1118Only Kimi K2.5 measured
Design Arena: agents building Godot gamesNot measured1219Only Kimi K2.5 measured
Finance Agent (Vals AI)51.5%35.8%Claude Opus 4.7
Tax Agent Bench (Vals AI)23.7%Not measuredOnly Claude Opus 4.7 measured
Legal Research Bench (Vals AI)38.5%15.9%Claude Opus 4.7
Excel Modeling Benchmark (Vals AI)63.7%28.5%Claude Opus 4.7
τ²-Bench Telecom88.6%95.9%Kimi K2.5
APEX-Agents49.2%Not measuredOnly Claude Opus 4.7 measured
OSWorld 2.018.2%Not measuredOnly Claude Opus 4.7 measured
PostTrainBench28.6%Not measuredOnly Claude Opus 4.7 measured
OSWorldNot measured63.3%Only Kimi K2.5 measured
Vending-Bench 2$10,937$1,198Claude Opus 4.7
LMArena Search1230Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index130
Reasoning benchmarks for Claude Opus 4.7 and Kimi K2.5
BenchmarkClaude Opus 4.7Kimi K2.5Leader
GPQA Diamond90.2%84.1%Claude Opus 4.7
MMMU Pro (Vals AI)85.5%84.3%Claude Opus 4.7
GPQA Diamond (Artificial Analysis run)91.4%87.9%Claude Opus 4.7
Humanity's Last Exam (Artificial Analysis run)42.3%30.7%Claude Opus 4.7
GPQA Diamond (Epoch AI run)90.2%Not measuredOnly Claude Opus 4.7 measured
ARC-AGI93.5%65.3%Claude Opus 4.7
ARC-AGI-275.8%11.8%Claude Opus 4.7
SimpleBench61.7%46.8%Claude Opus 4.7
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 prompts15061453Claude Opus 4.7
LMArena Text: expert15211466Claude Opus 4.7
LMArena Text: hard prompts in English15081460Claude Opus 4.7
LMArena Vision: diagrams13361282Claude Opus 4.7
LMArena Vision: homework13371297Claude Opus 4.7
Kagi LLM Benchmark80.7%78.5%Claude Opus 4.7
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Opus 4.7 and Kimi K2.5
BenchmarkClaude Opus 4.7Kimi K2.5Leader
AIME96.3%95.6%Claude Opus 4.7
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: math14981470Claude Opus 4.7
LMArena Text: mathematical work15091473Claude Opus 4.7
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index101
Knowledge benchmarks for Claude Opus 4.7 and Kimi K2.5
BenchmarkClaude Opus 4.7Kimi K2.5Leader
MMLU Pro89.9%85.9%Claude Opus 4.7
LegalBench (Vals AI)85.3%Not measuredOnly Claude Opus 4.7 measured
CaseLaw (Vals AI)68.4%58.7%Claude Opus 4.7
CorpFin (Vals AI)66.1%68.3%Kimi K2.5
TaxEval (Vals AI)75.3%74.2%Claude Opus 4.7
MortgageTax (Vals AI)70.3%66.5%Claude Opus 4.7
MedQA (Vals AI)Not measured94.4%Only Kimi K2.5 measured
MedCode (Vals AI)54.9%39.3%Claude Opus 4.7
SimpleQA Verified51.7%34.3%Claude Opus 4.7
LMArena Text: science15081459Claude Opus 4.7
LMArena Text: medicine and healthcare14951448Claude Opus 4.7
LMArena Text: legal and government15041441Claude Opus 4.7
LMArena Text: business and finance14901427Claude Opus 4.7
FACTS Benchmark Suite45.5%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Claude Opus 4.7 and Kimi K2.5
BenchmarkClaude Opus 4.7Kimi K2.5Leader
Design Arena: websitesNot measured1248Only Kimi K2.5 measured
Design Arena: UI componentsNot measured1236Only Kimi K2.5 measured
Design Arena: game devNot measured1207Only Kimi K2.5 measured
Design Arena: data vizNot measured1219Only Kimi K2.5 measured
Design Arena: 3DNot measured1205Only Kimi K2.5 measured
Design Arena: all code categoriesNot measured1236Only Kimi K2.5 measured
Design Arena: SVGNot measured1149Only Kimi K2.5 measured
Design Arena: ASCII artNot measured1166Only Kimi K2.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index262
General benchmarks for Claude Opus 4.7 and Kimi K2.5
BenchmarkClaude Opus 4.7Kimi K2.5Leader
SAGE (Vals AI)56.1%49.9%Claude Opus 4.7
MedScribe (Vals AI)83.0%76.4%Claude Opus 4.7
Vals Multimodal Index67.4%Not measuredOnly Claude Opus 4.7 measured
IFBench58.6%70.2%Kimi K2.5
Long context reasoning (AA-LCR)78.7%78.0%Claude Opus 4.7
DTBench94.7%Not measuredOnly Claude Opus 4.7 measured
LMCA52.2%Not measuredOnly Claude Opus 4.7 measured
Fiction.LiveBenchNot measured86.1%Only Kimi K2.5 measured
CL-benchNot measured19.3%Only Kimi K2.5 measured
Furniture assembly33.3%Not measuredOnly Claude Opus 4.7 measured
ExploitBench26.5%Not measuredOnly Claude Opus 4.7 measured
CL-bench LifeNot measured13.2%Only Kimi K2.5 measured
LMArena Text14901445Claude Opus 4.7
LMArena Text: instruction following14981431Claude Opus 4.7
LMArena Text: creative writing14861422Claude Opus 4.7
LMArena Vision13171269Claude Opus 4.7
LMArena Text: English14961453Claude Opus 4.7
LMArena Text: non-English14801433Claude Opus 4.7
LMArena Text: Chinese15311494Claude Opus 4.7
LMArena Text: German14951441Claude Opus 4.7
LMArena Text: Japanese14741423Claude Opus 4.7
LMArena Text: Korean14641412Claude Opus 4.7
LMArena Text: French15031454Claude Opus 4.7
LMArena Text: Spanish14941450Claude Opus 4.7
LMArena Text: Russian14941435Claude Opus 4.7
LMArena Text: Polish14891445Claude Opus 4.7
LMArena Text: multi-turn15051444Claude Opus 4.7
LMArena Text: longer queries15051445Claude Opus 4.7
LMArena Text: writing and language14921425Claude Opus 4.7
LMArena Text: entertainment and media14741417Claude Opus 4.7
LMArena Vision: English13221274Claude Opus 4.7
LMArena Vision: Chinese13711328Claude Opus 4.7
LMArena Vision: reading text13271276Claude Opus 4.7
LMArena Vision: humor13091284Claude Opus 4.7
LMArena Vision: captioningNot measured1257Only Kimi K2.5 measured
LMArena Vision: recognizing things12781285Kimi K2.5
LMArena Vision: creative writing13261269Claude Opus 4.7
LMArena Document1495Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 8 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 K2.5
BenchmarkClaude Opus 4.7Kimi 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 4.7$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 4.7$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 4.7$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 4.7 and Kimi K2.5
SpecificationAnthropic Claude Opus 4.7MoonshotAI Kimi K2.5
MakerAnthropicMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedApril 16, 2026January 27, 2026
Context window1M262K
Input $/Mtok$5.00$0.532
Output $/Mtok$25.00$2.85
Coding index67.538.6
Independent measurements behind it43
Cost per solved task$2.95$0.24
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.7 better than Kimi K2.5 for coding?

Pick Claude Opus 4.7 for coding: it scores 67.5 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 $2.95).

Which is cheaper, Claude Opus 4.7 or Kimi K2.5?

Claude Opus 4.7 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 4.7 costs $2.95 and Kimi K2.5 $0.24.

Which has the bigger context window, Claude Opus 4.7 or Kimi K2.5?

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

How many benchmarks is the Claude Opus 4.7 vs Kimi K2.5 comparison based on?

77 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.7's coding index rests on 4 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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