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Comparison · 2 models · Updated Oct 4, 2026

Kimi K2.8 Preview vs Kimi K2.7 Code

Kimi K2.8 Preview comes out ahead, 66 to 63 on our weighted score.

  1. Our pick

    Moonshot AI

    Kimi K2.8 Preview

    Released Sep 11, 2026

    66/100
    • ECI—
    • Price—
    • Context1.05M
    Full specs Remove Kimi K2.8 Preview

  2. Moonshot AI

    Kimi K2.7 Code

    Released Jun 12, 2026

    63/100
    • 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 K2.8 Preview is our pick

Kimi K2.8 Preview is the better all-round choice, scoring 66/100 against Kimi K2.7 Code (63). It leads on context window. Kimi K2.7 Code wins on inputs & features. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceKimi K2.7 CodeKimi K2.7 Code $1.71 per 1M tokens (3:1 blend) · Kimi K2.8 Preview unpriced
  • Longest contextKimi K2.8 PreviewKimi K2.8 Preview 1,048,576 · Kimi K2.7 Code 262,144 tokens
  • Widest inputsSame inputsKimi K2.8 Preview: Text, Images, Video · Kimi K2.7 Code: Text, Images, Video
  • Self-hostingKimi K2.7 CodePublishes downloadable weights
How the score is built
MeasureWeightKimi K2.8 PreviewKimi K2.7 Code
Inputs & features60%7080
Context window40%6137
Overall100%66/10063/100

Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

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

Kimi K2.8 Preview vs Kimi K2.7 Code specifications side by side
SpecificationKimi K2.8 PreviewMoonshot AIKimi K2.7 CodeMoonshot AI
Capability
Capabilities Index (ECI)—150.0
ECI rank—#49 of 148
GPQA DiamondGraduate-level science questions—87.9%
FrontierMath Tiers 1–3Research-level mathematics—54.0%
OTIS Mock AIME 2024–2025Competition mathematics—95.6%
SimpleQA VerifiedShort factual questions—36.5%
Price per million tokens
Input—$0.95
Output—$4.00
Cached input—$0.19
Blended (3:1)—$1.71
Long-context rate—Same rate
Price source—Official Moonshot AI API
Limits
Context window1,048,576 tokens (best)262,144 tokens
Max output—262,144 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioNoNo
VideoYesYes
ReasoningYesYes
Tool callingYesYes
Structured outputNoYes
Availability
WeightsProprietaryOpen
API model ID—kimi-k2.7-code
API providers—51
ReleasedSep 11, 2026Jun 12, 2026
Knowledge cutoff—Jan 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 K2.8 Preview—
  • Kimi K2.7 Code$17.50
04 — Questions

Which should you choose?

Which is better: Kimi K2.8 Preview or Kimi K2.7 Code?

Kimi K2.8 Preview is the better all-round choice, scoring 66/100 against Kimi K2.7 Code (63). It leads on context window. Kimi K2.7 Code wins on inputs & features. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Kimi K2.8 Preview 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). . 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 . Kimi K2.8 Preview has no published per-token price.

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Kimi K2.8 Preview has not been scored yet and Kimi K2.7 Code has an ECI of 150.0.

Which is better for coding?

There are no published SWE-bench Verified results for Kimi K2.8 Preview and Kimi K2.7 Code yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Which has the bigger context window?

Kimi K2.8 Preview has the largest context window at 1,048,576 tokens, against 262,144 for Kimi K2.7 Code. Maximum output per response: Kimi K2.7 Code up to 262,144 tokens.

Which can read images, PDFs, audio or video?

Kimi K2.8 Preview accepts text, images and video; 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; Kimi K2.8 Preview is proprietary.

Which is newer?

Kimi K2.8 Preview is the newest, released Sep 11, 2026. Kimi K2.7 Code came out Jun 12, 2026. Knowledge cutoff: 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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