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Comparison · 2 models · Updated Oct 4, 2026

Claude Haiku 4.5 vs Kimi K2.7 Code

Kimi K2.7 Code comes out ahead, 64 to 58 on our weighted score, and it is the cheaper option too.

  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. Our pick

    Moonshot AI

    Kimi K2.7 Code

    Released Jun 12, 2026

    64/100
    • ECI150.0
    • Price$0.95 / $4.00
    • Context262K
    Full specs Remove Kimi K2.7 Code

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Kimi K2.7 Code is our pick

Kimi K2.7 Code is the better all-round choice, scoring 64/100 against Claude Haiku 4.5 (58). It leads on capability, price and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityKimi K2.7 CodeCapabilities Index (ECI): Kimi K2.7 Code 150.0 · Claude Haiku 4.5 142.4
  • Lowest priceKimi K2.7 CodeKimi K2.7 Code $1.71 · Claude Haiku 4.5 $2.00 per 1M tokens (3:1 blend)
  • Longest contextKimi K2.7 CodeKimi K2.7 Code 262,144 · Claude Haiku 4.5 200,000 tokens
  • Widest inputsSame inputsClaude Haiku 4.5: Text, Images, PDFs · Kimi K2.7 Code: Text, Images, Video
  • Self-hostingKimi K2.7 CodePublishes downloadable weights
How the score is built
MeasureWeightClaude Haiku 4.5Kimi K2.7 Code
CapabilityCapabilities Index (ECI)50%6978
Price25%3639
Inputs & features15%8080
Context window10%3237
Overall100%58/10064/100
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 K2.7 Code specifications side by side
SpecificationClaude Haiku 4.5AnthropicKimi K2.7 CodeMoonshot AI
Capability
Capabilities Index (ECI)142.4150.0 (best)
ECI rank#90 of 148#49 of 148 (best)
GPQA DiamondGraduate-level science questions71.2%87.9% (best)
FrontierMath Tiers 1–3Research-level mathematics—54.0%
OTIS Mock AIME 2024–2025Competition mathematics66.7%95.6% (best)
SimpleQA VerifiedShort factual questions13.2%36.5% (best)
Price per million tokens
Input$1.00$0.95 (best)
Output$5.00$4.00 (best)
Cached input$0.10 (best)$0.19
Blended (3:1)$2.00$1.71 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Anthropic APIOfficial Moonshot AI API
Limits
Context window200,000 tokens262,144 tokens (best)
Max output64,000 tokens262,144 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsYesNo
AudioNoNo
VideoNoYes
ReasoningYesYes
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryOpen
API model IDclaude-haiku-4-5kimi-k2.7-code
API providers3451 (best)
ReleasedOct 15, 2025Jun 12, 2026
Knowledge cutoffFeb 28, 2025Jan 2025
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 K2.7 Code$17.50
04 — Questions

Which should you choose?

Which is better: Claude Haiku 4.5 or Kimi K2.7 Code?

Kimi K2.7 Code is the better all-round choice, scoring 64/100 against Claude Haiku 4.5 (58). It leads on capability, price and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Claude Haiku 4.5 or Kimi K2.7 Code?

Kimi K2.7 Code is cheaper at $0.95 input / $4.00 output per million tokens (official Moonshot AI API price). 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 $1.71 per million tokens for Kimi K2.7 Code versus $2.00 for Claude Haiku 4.5 (1.2× as much).

Which scores higher on benchmarks?

Kimi K2.7 Code scores higher on the Capabilities Index (ECI): Kimi K2.7 Code 150.0 (#49 of 148) and Claude Haiku 4.5 142.4 (#90 of 148). Their confidence ranges do not overlap (148.1–151.8 vs 139.5–144.3), so the gap is a real one. On individual benchmarks: GPQA Diamond — Kimi K2.7 Code 87.9%, Claude Haiku 4.5 71.2%; OTIS Mock AIME 2024–2025 — Kimi K2.7 Code 95.6%, Claude Haiku 4.5 66.7%; SimpleQA Verified — Kimi K2.7 Code 36.5%, Claude Haiku 4.5 13.2%.

Which is better for coding?

There are no published SWE-bench Verified results for Claude Haiku 4.5 and Kimi K2.7 Code yet, so there is no like-for-like coding score. On overall capability, Kimi K2.7 Code 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 K2.7 Code 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 K2.7 Code up to 262,144 tokens.

Which can read images, PDFs, audio or video?

Claude Haiku 4.5 accepts text, images and PDFs; Kimi K2.7 Code accepts text, images and video. They handle the same number of input types.

Are any of these open source?

Kimi K2.7 Code publishes its weights and can be self-hosted; Claude Haiku 4.5 is proprietary.

Which is newer?

Kimi K2.7 Code is the newest, released Jun 12, 2026. Claude Haiku 4.5 came out Oct 15, 2025. Knowledge cutoff: Claude Haiku 4.5 Feb 28, 2025, Kimi K2.7 Code Jan 2025.

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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