ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Inkling vs Kimi K2.7 Code

Kimi K2.7 Code comes out ahead, 64 to 59 on our weighted score, and it is the cheaper option too.

  1. Thinking Machines

    Inkling

    Released Jul 15, 2026

    59/100
    • ECI148.6
    • Price$3.74 / $9.36
    • Context1.05M
    Full specs Remove Inkling
  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 Inkling (59). It leads on capability, price and inputs & features. Inkling wins on 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 · Inkling 148.6
  • Lowest priceKimi K2.7 CodeKimi K2.7 Code $1.71 · Inkling $5.14 per 1M tokens (3:1 blend)
  • Longest contextInklingInkling 1,048,576 · Kimi K2.7 Code 262,144 tokens
  • Widest inputsSame inputsInkling: Text, Images, Audio · Kimi K2.7 Code: Text, Images, Video
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightInklingKimi K2.7 Code
CapabilityCapabilities Index (ECI)50%7678
Price25%1639
Inputs & features15%7080
Context window10%6137
Overall100%59/10064/100
02 — Side by side

Every spec in one table

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

Inkling vs Kimi K2.7 Code specifications side by side
SpecificationInklingThinking MachinesKimi K2.7 CodeMoonshot AI
Capability
Capabilities Index (ECI)148.6150.0 (best)
ECI rank#57 of 148#49 of 148 (best)
GPQA DiamondGraduate-level science questions88.3% (best)87.9%
FrontierMath Tiers 1–3Research-level mathematics33.3%54.0% (best)
OTIS Mock AIME 2024–2025Competition mathematics88.9%95.6% (best)
SimpleQA VerifiedShort factual questions40.3% (best)36.5%
Price per million tokens
Input$3.74$0.95 (best)
Output$9.36$4.00 (best)
Cached input$0.748$0.19 (best)
Blended (3:1)$5.14$1.71 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Thinking Machines APIOfficial Moonshot AI API
Limits
Context window1,048,576 tokens (best)262,144 tokens
Max output1,048,576 tokens (best)262,144 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioYesNo
VideoNoYes
ReasoningYeslow · medium · high · xhigh · maxYes
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenApache-2.0Open
API model IDthinkingmachines/Inkling:peft:262144kimi-k2.7-code
API providers2351 (best)
ReleasedJul 15, 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.

  • Inkling$56.12
  • Kimi K2.7 Code$17.50
04 — Questions

Which should you choose?

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

Kimi K2.7 Code is the better all-round choice, scoring 64/100 against Inkling (59). It leads on capability, price and inputs & features. Inkling wins on context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Inkling 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). Inkling costs $3.74 input / $9.36 output per million tokens (official Thinking Machines 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 $5.14 for Inkling (3× 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 Inkling 148.6 (#57 of 148). The confidence ranges of the top two overlap (148.1–151.8 vs 145.7–150.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — Inkling 88.3%, Kimi K2.7 Code 87.9%; FrontierMath Tiers 1–3 — Kimi K2.7 Code 54.0%, Inkling 33.3%; OTIS Mock AIME 2024–2025 — Kimi K2.7 Code 95.6%, Inkling 88.9%; SimpleQA Verified — Inkling 40.3%, Kimi K2.7 Code 36.5%.

Which is better for coding?

There are no published SWE-bench Verified results for Inkling 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?

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

Which can read images, PDFs, audio or video?

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

Are any of these open source?

Yes, both publish their weights (Apache-2.0), so you can self-host them.

Which is newer?

Inkling is the newest, released Jul 15, 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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