ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Kimi K2.7 Code vs Kimi K2.6

Too close to call on our weighted score (Kimi K2.6 65, Kimi K2.7 Code 64). The right pick depends on what you value most.

  1. 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. Moonshot AI

    Kimi K2.6

    Released Apr 21, 2026

    65/100
    • ECI151.1
    • Price$0.95 / $4.00
    • Context262K
    Full specs Remove Kimi K2.6

  3. Add a model

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Kimi K2.6 65/100, Kimi K2.7 Code 64/100), so choose by what matters most for your work: Kimi K2.6 for raw capability and Kimi K2.7 Code on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityKimi K2.6Capabilities Index (ECI): Kimi K2.6 151.1 · Kimi K2.7 Code 150.0
  • Lowest priceSame priceKimi K2.7 Code $1.71 · Kimi K2.6 $1.71 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameKimi K2.7 Code 262,144 · Kimi K2.6 262,144 tokens
  • Widest inputsSame inputsKimi K2.7 Code: Text, Images, Video · Kimi K2.6: Text, Images, Video
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightKimi K2.7 CodeKimi K2.6
CapabilityCapabilities Index (ECI)50%7879
Price25%3939
Inputs & features15%8080
Context window10%3737
Overall100%64/10065/100
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 Kimi K2.6 specifications side by side
SpecificationKimi K2.7 CodeMoonshot AIKimi K2.6Moonshot AI
Capability
Capabilities Index (ECI)150.0151.1 (best)
ECI rank#49 of 148#45 of 148 (best)
GPQA DiamondGraduate-level science questions87.9%90.8% (best)
FrontierMath Tiers 1–3Research-level mathematics54.0%57.2% (best)
OTIS Mock AIME 2024–2025Competition mathematics95.6%96.1% (best)
SWE-bench VerifiedFixing real GitHub issues—76.7%
SimpleQA VerifiedShort factual questions36.5% (best)34.9%
Price per million tokens
Input$0.95$0.95
Output$4.00$4.00
Cached input$0.19$0.16 (best)
Blended (3:1)$1.71$1.71
Long-context rateSame rateSame rate
Price sourceOfficial Moonshot AI APIOfficial Moonshot AI API
Limits
Context window262,144 tokens262,144 tokens
Max output262,144 tokens262,144 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioNoNo
VideoYesYes
ReasoningYesYes
Tool callingYesYes
Structured outputYesYes
Availability
WeightsOpenOpen
API model IDkimi-k2.7-codekimi-k2.6
API providers51 (best)46
ReleasedJun 12, 2026Apr 21, 2026
Knowledge cutoffJan 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.

  • Kimi K2.7 Code$17.50
  • Kimi K2.6$17.50
04 — Questions

Which should you choose?

Which is better: Kimi K2.7 Code or Kimi K2.6?

It is close. Our weighted score puts them within a point (Kimi K2.6 65/100, Kimi K2.7 Code 64/100), so choose by what matters most for your work: Kimi K2.6 for raw capability and Kimi K2.7 Code on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Kimi K2.7 Code or Kimi K2.6?

Kimi K2.7 Code and Kimi K2.6 cost the same: $0.95 input / $4.00 output per million tokens.

Which scores higher on benchmarks?

Kimi K2.6 scores higher on the Capabilities Index (ECI): Kimi K2.6 151.1 (#45 of 148) and Kimi K2.7 Code 150.0 (#49 of 148). The confidence ranges of the top two overlap (149.1–152.8 vs 148.1–151.8), so treat the gap as small. On individual benchmarks: GPQA Diamond — Kimi K2.6 90.8%, Kimi K2.7 Code 87.9%; FrontierMath Tiers 1–3 — Kimi K2.6 57.2%, Kimi K2.7 Code 54.0%; OTIS Mock AIME 2024–2025 — Kimi K2.6 96.1%, Kimi K2.7 Code 95.6%; SimpleQA Verified — Kimi K2.7 Code 36.5%, Kimi K2.6 34.9%.

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 K2.6 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 and Kimi K2.6 share the same 262,144-token context window. Maximum output per response: Kimi K2.7 Code up to 262,144, Kimi K2.6 up to 262,144 tokens.

Which can read images, PDFs, audio or video?

Kimi K2.7 Code accepts text, images and video; Kimi K2.6 accepts text, images and video. They handle the same number of input types.

Are any of these open source?

Yes, both publish their weights, so you can self-host them.

Which is newer?

Kimi K2.7 Code is the newest, released Jun 12, 2026. Kimi K2.6 came out Apr 21, 2026. Knowledge cutoff: Kimi K2.7 Code Jan 2025, Kimi K2.6 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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