ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Inkling Small vs Kimi K2.7 Code

Inkling Small comes out ahead, 70 to 64 on our weighted score, and it is the cheaper option too.

  1. Our pick

    Thinking Machines

    Inkling Small

    Released Jul 30, 2026

    70/100
    • ECI150.2
    • Price$0.50 / $1.20
    • Context1.05M
    Full specs Remove Inkling Small

  2. 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

Inkling Small is our pick

Inkling Small is the better all-round choice, scoring 70/100 against Kimi K2.7 Code (64). It leads on price and context window. Kimi K2.7 Code wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityInkling SmallCapabilities Index (ECI): Inkling Small 150.2 · Kimi K2.7 Code 150.0
  • Lowest priceInkling SmallInkling Small $0.675 · Kimi K2.7 Code $1.71 per 1M tokens (3:1 blend)
  • Longest contextInkling SmallInkling Small 1,048,576 · Kimi K2.7 Code 262,144 tokens
  • Widest inputsSame inputsInkling Small: 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
MeasureWeightInkling SmallKimi K2.7 Code
CapabilityCapabilities Index (ECI)50%7878
Price25%5839
Inputs & features15%7080
Context window10%6137
Overall100%70/10064/100
02 — Side by side

Every spec in one table

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

Inkling Small vs Kimi K2.7 Code specifications side by side
SpecificationInkling SmallThinking MachinesKimi K2.7 CodeMoonshot AI
Capability
Capabilities Index (ECI)150.2 (best)150.0
ECI rank#47 of 148 (best)#49 of 148
GPQA DiamondGraduate-level science questions88.5% (best)87.9%
FrontierMath Tiers 1–3Research-level mathematics46.3%54.0% (best)
OTIS Mock AIME 2024–2025Competition mathematics90.0%95.6% (best)
SimpleQA VerifiedShort factual questions19.1%36.5% (best)
Price per million tokens
Input$0.50 (best)$0.95
Output$1.20 (best)$4.00
Cached input—$0.19
Blended (3:1)$0.675 (best)$1.71
Long-context rateSame rateSame rate
Price sourceMedian of 11 providersOfficial 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
ReasoningYesYes
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenApache-2.0Open
API model ID—kimi-k2.7-code
API providers1151 (best)
ReleasedJul 30, 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 Small$7.40
  • Kimi K2.7 Code$17.50
04 — Questions

Which should you choose?

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

Inkling Small is the better all-round choice, scoring 70/100 against Kimi K2.7 Code (64). It leads on price and context window. Kimi K2.7 Code wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Inkling Small or Kimi K2.7 Code?

Inkling Small is cheaper at $0.50 input / $1.20 output per million tokens (median across 11 API providers). Kimi K2.7 Code costs $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 $0.675 per million tokens for Inkling Small versus $1.71 for Kimi K2.7 Code (2.5× as much).

Which scores higher on benchmarks?

Inkling Small scores higher on the Capabilities Index (ECI): Inkling Small 150.2 (#47 of 148) and Kimi K2.7 Code 150.0 (#49 of 148). The confidence ranges of the top two overlap (147.5–152.1 vs 148.1–151.8), so treat the gap as small. On individual benchmarks: GPQA Diamond — Inkling Small 88.5%, Kimi K2.7 Code 87.9%; FrontierMath Tiers 1–3 — Kimi K2.7 Code 54.0%, Inkling Small 46.3%; OTIS Mock AIME 2024–2025 — Kimi K2.7 Code 95.6%, Inkling Small 90.0%; SimpleQA Verified — Kimi K2.7 Code 36.5%, Inkling Small 19.1%.

Which is better for coding?

There are no published SWE-bench Verified results for Inkling Small and Kimi K2.7 Code yet, so there is no like-for-like coding score. On overall capability, Inkling Small 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 Small has the largest context window at 1,048,576 tokens, against 262,144 for Kimi K2.7 Code. Maximum output per response: Inkling Small up to 1,048,576, Kimi K2.7 Code up to 262,144 tokens.

Which can read images, PDFs, audio or video?

Inkling Small 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 Small is the newest, released Jul 30, 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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