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Comparison · 2 models · Updated Oct 4, 2026

Kimi K2.7 Code vs Claude Sonnet 4.5

Kimi K2.7 Code comes out ahead, 64 to 55 on our weighted score, and it is the cheaper option too.

  1. 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

  2. Anthropic

    Claude Sonnet 4.5

    Released Sep 29, 2025

    55/100
    • ECI146.8
    • Price$3.00 / $15.00
    • Context200K
    Full specs Remove Claude Sonnet 4.5

  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 Sonnet 4.5 (55). 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 Sonnet 4.5 146.8
  • Lowest priceKimi K2.7 CodeKimi K2.7 Code $1.71 · Claude Sonnet 4.5 $6.00 per 1M tokens (3:1 blend)
  • Longest contextKimi K2.7 CodeKimi K2.7 Code 262,144 · Claude Sonnet 4.5 200,000 tokens
  • Widest inputsSame inputsKimi K2.7 Code: Text, Images, Video · Claude Sonnet 4.5: Text, Images, PDFs
  • Self-hostingKimi K2.7 CodePublishes downloadable weights
How the score is built
MeasureWeightKimi K2.7 CodeClaude Sonnet 4.5
CapabilityCapabilities Index (ECI)50%7874
Price25%3913
Inputs & features15%8080
Context window10%3732
Overall100%64/10055/100
02 — Side by side

Every spec in one table

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

Kimi K2.7 Code vs Claude Sonnet 4.5 specifications side by side
SpecificationKimi K2.7 CodeMoonshot AIClaude Sonnet 4.5Anthropic
Capability
Capabilities Index (ECI)150.0 (best)146.8
ECI rank#49 of 148 (best)#64 of 148
GPQA DiamondGraduate-level science questions87.9% (best)82.3%
FrontierMath Tiers 1–3Research-level mathematics54.0% (best)23.9%
OTIS Mock AIME 2024–2025Competition mathematics95.6% (best)77.8%
SWE-bench VerifiedFixing real GitHub issues—71.3%
SimpleQA VerifiedShort factual questions36.5% (best)30.7%
Price per million tokens
Input$0.95 (best)$3.00
Output$4.00 (best)$15.00
Cached input$0.19 (best)$0.30
Blended (3:1)$1.71 (best)$6.00
Long-context rateSame rateSame rate
Price sourceOfficial Moonshot AI APIOfficial Anthropic API
Limits
Context window262,144 tokens (best)200,000 tokens
Max output262,144 tokens (best)64,000 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoYes
AudioNoNo
VideoYesNo
ReasoningYesYes
Tool callingYesYes
Structured outputYesYes
Availability
WeightsOpenProprietary
API model IDkimi-k2.7-codeclaude-sonnet-4-5
API providers51 (best)28
ReleasedJun 12, 2026Sep 29, 2025
Knowledge cutoffJan 2025Jul 31, 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.

  • Kimi K2.7 Code$17.50
  • Claude Sonnet 4.5$60.00
04 — Questions

Which should you choose?

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

Kimi K2.7 Code is the better all-round choice, scoring 64/100 against Claude Sonnet 4.5 (55). It leads on capability, price and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

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

Kimi K2.7 Code is cheaper at $0.95 input / $4.00 output per million tokens (official Moonshot AI API price). Claude Sonnet 4.5 costs $3.00 input / $15.00 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 $6.00 for Claude Sonnet 4.5 (3.5× 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 Sonnet 4.5 146.8 (#64 of 148). The confidence ranges of the top two overlap (148.1–151.8 vs 145.3–148.5), so treat the gap as small. On individual benchmarks: GPQA Diamond — Kimi K2.7 Code 87.9%, Claude Sonnet 4.5 82.3%; FrontierMath Tiers 1–3 — Kimi K2.7 Code 54.0%, Claude Sonnet 4.5 23.9%; OTIS Mock AIME 2024–2025 — Kimi K2.7 Code 95.6%, Claude Sonnet 4.5 77.8%; SimpleQA Verified — Kimi K2.7 Code 36.5%, Claude Sonnet 4.5 30.7%.

Which is better for coding?

There are no published SWE-bench Verified results for 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 Sonnet 4.5. Maximum output per response: Kimi K2.7 Code up to 262,144, Claude Sonnet 4.5 up to 64,000 tokens.

Which can read images, PDFs, audio or video?

Kimi K2.7 Code accepts text, images and video; Claude Sonnet 4.5 accepts text, images and PDFs. 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 Sonnet 4.5 is proprietary.

Which is newer?

Kimi K2.7 Code is the newest, released Jun 12, 2026. Claude Sonnet 4.5 came out Sep 29, 2025. Knowledge cutoff: Kimi K2.7 Code Jan 2025, Claude Sonnet 4.5 Jul 31, 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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