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Comparison · 2 models · Updated Oct 4, 2026

Claude Haiku 4.5 vs Kimi K2 Thinking

Too close to call on our weighted score (Claude Haiku 4.5 58, Kimi K2 Thinking 58). The right pick depends on what you value most.

  1. Anthropic

    Claude Haiku 4.5

    Released Oct 15, 2025

    58/100
    • ECI142.4
    • Price$1.00 / $5.00
    • Context200K
    Full specs Remove Claude Haiku 4.5

  2. Moonshot AI

    Kimi K2 Thinking

    Released Nov 6, 2025

    58/100
    • ECI146.0
    • Price$0.60 / $2.50
    • Context262K
    Full specs Remove Kimi K2 Thinking

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Claude Haiku 4.5 58/100, Kimi K2 Thinking 58/100), so choose by what matters most for your work: Kimi K2 Thinking for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityKimi K2 ThinkingCapabilities Index (ECI): Kimi K2 Thinking 146.0 · Claude Haiku 4.5 142.4
  • Lowest priceKimi K2 ThinkingKimi K2 Thinking $1.07 · Claude Haiku 4.5 $2.00 per 1M tokens (3:1 blend)
  • Longest contextKimi K2 ThinkingKimi K2 Thinking 262,144 · Claude Haiku 4.5 200,000 tokens
  • Widest inputsClaude Haiku 4.5Claude Haiku 4.5: Text, Images, PDFs · Kimi K2 Thinking: Text
  • Self-hostingKimi K2 ThinkingPublishes downloadable weights
How the score is built
MeasureWeightClaude Haiku 4.5Kimi K2 Thinking
CapabilityCapabilities Index (ECI)50%6973
Price25%3648
Inputs & features15%8035
Context window10%3237
Overall100%58/10058/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Claude Haiku 4.5 vs Kimi K2 Thinking specifications side by side
SpecificationClaude Haiku 4.5AnthropicKimi K2 ThinkingMoonshot AI
Capability
Capabilities Index (ECI)142.4146.0 (best)
ECI rank#90 of 148#72 of 148 (best)
GPQA DiamondGraduate-level science questions71.2%84.2% (best)
OTIS Mock AIME 2024–2025Competition mathematics66.7%83.1% (best)
SimpleQA VerifiedShort factual questions13.2%—
Price per million tokens
Input$1.00$0.60 (best)
Output$5.00$2.50 (best)
Cached input$0.10—
Blended (3:1)$2.00$1.07 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Anthropic APIMedian of 10 providers
Limits
Context window200,000 tokens262,144 tokens (best)
Max output64,000 tokens262,144 tokens (best)
Inputs and features
TextYesYes
ImagesYesNo
PDFsYesNo
AudioNoNo
VideoNoNo
ReasoningYesYes
Tool callingYesYes
Structured outputYesNo
Availability
WeightsProprietaryOpen
API model IDclaude-haiku-4-5—
API providers34 (best)10
ReleasedOct 15, 2025Nov 6, 2025
Knowledge cutoffFeb 28, 2025Aug 2024
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Claude Haiku 4.5$20.00
  • Kimi K2 Thinking$11.00
04 — Questions

Which should you choose?

Which is better: Claude Haiku 4.5 or Kimi K2 Thinking?

It is close. Our weighted score puts them within a point (Claude Haiku 4.5 58/100, Kimi K2 Thinking 58/100), so choose by what matters most for your work: Kimi K2 Thinking for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Claude Haiku 4.5 or Kimi K2 Thinking?

Kimi K2 Thinking is cheaper at $0.60 input / $2.50 output per million tokens (median across 10 API providers). Claude Haiku 4.5 costs $1.00 input / $5.00 output per million tokens (official Anthropic API price). At a typical mix of three input tokens to one output token, that is $1.07 per million tokens for Kimi K2 Thinking versus $2.00 for Claude Haiku 4.5 (1.9× as much).

Which scores higher on benchmarks?

Kimi K2 Thinking scores higher on the Capabilities Index (ECI): Kimi K2 Thinking 146.0 (#72 of 148) and Claude Haiku 4.5 142.4 (#90 of 148). The confidence ranges of the top two overlap (143.4–147.6 vs 139.5–144.3), so treat the gap as small. On individual benchmarks: GPQA Diamond — Kimi K2 Thinking 84.2%, Claude Haiku 4.5 71.2%; OTIS Mock AIME 2024–2025 — Kimi K2 Thinking 83.1%, Claude Haiku 4.5 66.7%.

Which is better for coding?

There are no published SWE-bench Verified results for Claude Haiku 4.5 and Kimi K2 Thinking yet, so there is no like-for-like coding score. On overall capability, Kimi K2 Thinking leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

Kimi K2 Thinking has the largest context window at 262,144 tokens, against 200,000 for Claude Haiku 4.5. Maximum output per response: Claude Haiku 4.5 up to 64,000, Kimi K2 Thinking up to 262,144 tokens.

Which can read images, PDFs, audio or video?

Claude Haiku 4.5 accepts text, images and PDFs; Kimi K2 Thinking accepts text. Claude Haiku 4.5 handles the widest range of inputs.

Are any of these open source?

Kimi K2 Thinking publishes its weights and can be self-hosted; Claude Haiku 4.5 is proprietary.

Which is newer?

Kimi K2 Thinking is the newest, released Nov 6, 2025. Claude Haiku 4.5 came out Oct 15, 2025. Knowledge cutoff: Claude Haiku 4.5 Feb 28, 2025, Kimi K2 Thinking Aug 2024.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.

05 — Keep comparing

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