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Claude Haiku 5.5 vs Kimi K2 Thinking

Claude Haiku 5.5 leads Kimi K2 Thinking on the Artificial Analysis Intelligence Index, 43.4 to 22.0, and Claude Haiku 5.5 costs 5.0x less per output token ($0.50 vs $2.50 per million). Updated October 22, 2026; 5 benchmarks have a result for both.

Claude Haiku 5.5Anthropic
Coding
70.7
Overall
67.6
Output $/M
$0.50
5
Kimi K2 ThinkingMoonshot AI
Coding
No data
Overall
No data
Output $/M
$2.50
0
vs boards won of 5 shared

Claude Haiku 5.5 or Kimi K2 Thinking: which to pick

Only Claude Haiku 5.5 has a coding score, 70.7 on the Vibe Coding Index; Kimi K2 Thinking has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Shared results
5
Claude Haiku 5.5 only
58
Kimi K2 Thinking only
25
Like-for-like categories
4 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 Haiku 5.5 70.7 from 5 benchmarks, Kimi K2 Thinking not benchmarked.
Widest category
Reasoning, 20.6 points apart on average over 1 shared benchmark.
Widest single gap
AA Intelligence Index: Claude Haiku 5.5 43.4 against Kimi K2 Thinking 22.0, 21.4 points apart on a 0 to 100 scale.
Output price
Claude Haiku 5.5 $0.50 against Kimi K2 Thinking $2.50 per million output tokens, 5.0x apart.
Context window
Claude Haiku 5.5 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 Haiku 5.5BarsKimi K2 ThinkingTies
Intelligence20
Reasoning10
Web design10
General10
All shared boards50
CodingDirectional onlySix of these boards feed the Vibe Coding Index24 boards, none shared
Coding benchmarks for Claude Haiku 5.5 and Kimi K2 Thinking
BenchmarkClaude Haiku 5.5Kimi K2 ThinkingLeader
SWE-bench VerifiedNot measured63.4%Only Kimi K2 Thinking measured
LiveBench coding91.4%Not measuredOnly Claude Haiku 5.5 measured
LMArena WebDev1586Not measuredOnly Claude Haiku 5.5 measured
LiveCodeBench (Vals AI)Not measured63.1%Only Kimi K2 Thinking measured
SWE-bench Verified (Vals AI)Not measured60.2%Only Kimi K2 Thinking measured
Terminal-Bench 4 (Vals AI)36.4%Not measuredOnly Claude Haiku 5.5 measured
Vibe Code Bench (Vals AI)90.4%Not measuredOnly Claude Haiku 5.5 measured
Code migration (Vals AI)44.6%Not measuredOnly Claude Haiku 5.5 measured
ProgramBench (Vals AI)2.5%Not measuredOnly Claude Haiku 5.5 measured
IOI (Vals AI)47.3%Not measuredOnly Claude Haiku 5.5 measured
SWE-bench Multimodal (Vals AI)44.0%Not measuredOnly Claude Haiku 5.5 measured
Vibe Code Bench 1-100 (Vals AI)20.4%Not measuredOnly Claude Haiku 5.5 measured
CyberBench (Vals AI)75.5%Not measuredOnly Claude Haiku 5.5 measured
LiveCodeBench (Artificial Analysis run)Not measured85.3%Only Kimi K2 Thinking measured
SciCode55.0%Not measuredOnly Claude Haiku 5.5 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured31.1%Only Kimi K2 Thinking measured
Terminal-BenchNot measured35.7%Only Kimi K2 Thinking measured
FrontierCode46.4%Not measuredOnly Claude Haiku 5.5 measured
FrontierSWE43.8%Not measuredOnly Claude Haiku 5.5 measured
WeirdMLNot measured42.8%Only Kimi K2 Thinking measured
ALE-BenchNot measured597.5Only Kimi K2 Thinking measured
LMArena WebDev: React1605Not measuredOnly Claude Haiku 5.5 measured
LMArena WebDev: HTML1569Not measuredOnly Claude Haiku 5.5 measured
SciCode9.2%Not measuredOnly Claude Haiku 5.5 measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Haiku 5.5 and Kimi K2 Thinking
BenchmarkClaude Haiku 5.5Kimi K2 ThinkingLeader
AA Intelligence Index43.422.0Claude Haiku 5.5
Epoch Capabilities Index159.3145.8Claude Haiku 5.5
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index16 boards, none shared
Agentic work benchmarks for Claude Haiku 5.5 and Kimi K2 Thinking
BenchmarkClaude Haiku 5.5Kimi K2 ThinkingLeader
LiveBench research81.9%Not measuredOnly Claude Haiku 5.5 measured
LiveBench browser80.0%Not measuredOnly Claude Haiku 5.5 measured
LiveBench long agentic57.6%Not measuredOnly Claude Haiku 5.5 measured
SREBench (Vals AI)5.7%Not measuredOnly Claude Haiku 5.5 measured
Finance Agent (Vals AI)54.1%Not measuredOnly Claude Haiku 5.5 measured
Tax Agent Bench (Vals AI)31.9%Not measuredOnly Claude Haiku 5.5 measured
Legal Research Bench (Vals AI)43.3%Not measuredOnly Claude Haiku 5.5 measured
Harvey's Legal Agent Benchmark (Vals AI)4.2%Not measuredOnly Claude Haiku 5.5 measured
Excel Modeling Benchmark (Vals AI)59.0%Not measuredOnly Claude Haiku 5.5 measured
BioMysteryBench (Vals AI)70.4%Not measuredOnly Claude Haiku 5.5 measured
Terminal-Bench-Science (Vals AI)10.0%Not measuredOnly Claude Haiku 5.5 measured
Vals Science Index38.5%Not measuredOnly Claude Haiku 5.5 measured
τ²-Bench TelecomNot measured93.0%Only Kimi K2 Thinking measured
APEX-Agents56.1%Not measuredOnly Claude Haiku 5.5 measured
METR time horizonsNot measured59.2%Only Kimi K2 Thinking measured
Vending-Bench 2$3,602Not measuredOnly Claude Haiku 5.5 measured
Neither model has a result on the other 25 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index10
Reasoning benchmarks for Claude Haiku 5.5 and Kimi K2 Thinking
BenchmarkClaude Haiku 5.5Kimi K2 ThinkingLeader
GPQA DiamondNot measured78.5%Only Kimi K2 Thinking measured
LiveBench reasoning82.4%Not measuredOnly Claude Haiku 5.5 measured
MysteryMechanism (Vals AI)35.1%Not measuredOnly Claude Haiku 5.5 measured
GPQA Diamond (Artificial Analysis run)Not measured83.8%Only Kimi K2 Thinking measured
Humanity's Last Exam (Artificial Analysis run)44.4%23.8%Claude Haiku 5.5
GPQA Diamond (Epoch AI run)89.6%Not measuredOnly Claude Haiku 5.5 measured
ARC-AGI89.0%Not measuredOnly Claude Haiku 5.5 measured
ARC-AGI-261.3%Not measuredOnly Claude Haiku 5.5 measured
Chess puzzles55.0%Not measuredOnly Claude Haiku 5.5 measured
Mystery game puzzles30.0%Not measuredOnly Claude Haiku 5.5 measured
EBR-bench43.8%Not measuredOnly Claude Haiku 5.5 measured
Neither model has a result on the other 11 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Math benchmarks for Claude Haiku 5.5 and Kimi K2 Thinking
BenchmarkClaude Haiku 5.5Kimi K2 ThinkingLeader
AIMENot measured85.4%Only Kimi K2 Thinking measured
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 AIME98.9%Not measuredOnly Claude Haiku 5.5 measured
FrontierMath, tiers 1 to 375.1%Not measuredOnly Claude Haiku 5.5 measured
FrontierMath, tier 446.3%Not measuredOnly Claude Haiku 5.5 measured
ProofBench89.0%Not measuredOnly Claude Haiku 5.5 measured
Neither model has a result on the other 5 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Knowledge benchmarks for Claude Haiku 5.5 and Kimi K2 Thinking
BenchmarkClaude Haiku 5.5Kimi K2 ThinkingLeader
MMLU ProNot measured81.1%Only Kimi K2 Thinking measured
LegalBench (Vals AI)Not measured80.2%Only Kimi K2 Thinking measured
CaseLaw (Vals AI)Not measured65.7%Only Kimi K2 Thinking measured
CorpFin (Vals AI)Not measured60.6%Only Kimi K2 Thinking measured
TaxEval (Vals AI)Not measured71.7%Only Kimi K2 Thinking measured
MedQA (Vals AI)Not measured92.6%Only Kimi K2 Thinking measured
MedCode (Vals AI)51.5%Not measuredOnly Claude Haiku 5.5 measured
MMLU Pro (Artificial Analysis run)Not measured84.8%Only Kimi K2 Thinking measured
SimpleQA Verified23.8%Not measuredOnly Claude Haiku 5.5 measured
Neither model has a result on the other 9 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index10
Web design benchmarks for Claude Haiku 5.5 and Kimi K2 Thinking
BenchmarkClaude Haiku 5.5Kimi K2 ThinkingLeader
Design Arena: websites12621113Claude Haiku 5.5
Design Arena: UI components1291Not measuredOnly Claude Haiku 5.5 measured
Design Arena: game dev1313Not measuredOnly Claude Haiku 5.5 measured
Design Arena: data viz1294Not measuredOnly Claude Haiku 5.5 measured
Design Arena: 3D1342Not measuredOnly Claude Haiku 5.5 measured
Design Arena: all code categories1278Not measuredOnly Claude Haiku 5.5 measured
LiveBench design83.1%Not measuredOnly Claude Haiku 5.5 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
General benchmarks for Claude Haiku 5.5 and Kimi K2 Thinking
BenchmarkClaude Haiku 5.5Kimi K2 ThinkingLeader
Vals Index58.7%Not measuredOnly Claude Haiku 5.5 measured
LiveBench data analysis53.1%Not measuredOnly Claude Haiku 5.5 measured
Public Benefits Bench (Vals AI)63.2%Not measuredOnly Claude Haiku 5.5 measured
SAGE (Vals AI)45.8%Not measuredOnly Claude Haiku 5.5 measured
MedScribe (Vals AI)89.5%Not measuredOnly Claude Haiku 5.5 measured
IFBenchNot measured68.1%Only Kimi K2 Thinking measured
Long context reasoning (AA-LCR)82.7%72.0%Claude Haiku 5.5
DTBench95.0%Not measuredOnly Claude Haiku 5.5 measured
LMCA51.1%Not measuredOnly Claude Haiku 5.5 measured
CL-benchNot measured17.6%Only Kimi K2 Thinking measured
Furniture assembly47.5%Not measuredOnly Claude Haiku 5.5 measured
Neither model has a result on the other 35 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Haiku 5.5 and Kimi K2 Thinking
BenchmarkClaude Haiku 5.5Kimi 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 Haiku 5.5$0.0003Fits in one request
Kimi K2 Thinking$0.0019Fits in one request

Claude Haiku 5.5 costs less

Repository review

50K input + 3K output tokens

Claude Haiku 5.5$0.0065Fits in one request
Kimi K2 Thinking$0.037Fits in one request

Claude Haiku 5.5 costs less

Agent loop

200K input + 10K output tokens

Claude Haiku 5.5$0.025Fits in one request
Kimi K2 Thinking$0.145Fits in one request

Claude Haiku 5.5 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 Haiku 5.5 and Kimi K2 Thinking
SpecificationAnthropic Claude Haiku 5.5MoonshotAI Kimi K2 Thinking
MakerAnthropicMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedOctober 7, 2026November 6, 2025
Context window1M262K
Input $/Mtok$0.10$0.60
Output $/Mtok$0.50$2.50
Coding index70.7Not benchmarked
Independent measurements behind it51
Cost per solved taskNot computable$0.61
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Haiku 5.5 better than Kimi K2 Thinking for coding?

Only Claude Haiku 5.5 has a coding score, 70.7 on the Vibe Coding Index; Kimi K2 Thinking has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Claude Haiku 5.5 or Kimi K2 Thinking?

Claude Haiku 5.5 costs $0.10 per million input tokens and $0.50 per million output tokens; Kimi K2 Thinking costs $0.60 and $2.50. Cost per solved task is known for Kimi K2 Thinking only.

Which has the bigger context window, Claude Haiku 5.5 or Kimi K2 Thinking?

Claude Haiku 5.5, with 1M tokens against 262K.

How many benchmarks is the Claude Haiku 5.5 vs Kimi K2 Thinking comparison based on?

5 benchmarks have a result for both models as of October 22, 2026. Claude Haiku 5.5's coding index rests on 5 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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