ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Kimi K2.7 Code vs Muse Spark 1.2

Muse Spark 1.2 comes out ahead, 72 to 64 on our weighted score, though Kimi K2.7 Code is 14% cheaper per token.

  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. Our pick

    Meta

    Muse Spark 1.2

    Released Aug 5, 2026

    72/100
    • ECI155.0
    • Price$1.25 / $4.25
    • Context1.05M
    Full specs Remove Muse Spark 1.2

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Muse Spark 1.2 is our pick

Muse Spark 1.2 is the better all-round choice, scoring 72/100 against Kimi K2.7 Code (64). It leads on capability, inputs & features and context window. Kimi K2.7 Code wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityMuse Spark 1.2Capabilities Index (ECI): Muse Spark 1.2 155.0 · Kimi K2.7 Code 150.0
  • Lowest priceKimi K2.7 CodeKimi K2.7 Code $1.71 · Muse Spark 1.2 $2.00 per 1M tokens (3:1 blend)
  • Longest contextMuse Spark 1.2Muse Spark 1.2 1,048,576 · Kimi K2.7 Code 262,144 tokens
  • Widest inputsMuse Spark 1.2Kimi K2.7 Code: Text, Images, Video · Muse Spark 1.2: Text, Images, PDFs, Audio, Video
  • Self-hostingKimi K2.7 CodePublishes downloadable weights
How the score is built
MeasureWeightKimi K2.7 CodeMuse Spark 1.2
CapabilityCapabilities Index (ECI)50%7884
Price25%3936
Inputs & features15%80100
Context window10%3761
Overall100%64/10072/100
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 Muse Spark 1.2 specifications side by side
SpecificationKimi K2.7 CodeMoonshot AIMuse Spark 1.2Meta
Capability
Capabilities Index (ECI)150.0155.0 (best)
ECI rank#49 of 148#30 of 148 (best)
GPQA DiamondGraduate-level science questions87.9%—
FrontierMath Tiers 1–3Research-level mathematics54.0%—
OTIS Mock AIME 2024–2025Competition mathematics95.6%—
SimpleQA VerifiedShort factual questions36.5%60.3% (best)
Price per million tokens
Input$0.95 (best)$1.25
Output$4.00 (best)$4.25
Cached input$0.19$0.15 (best)
Blended (3:1)$1.71 (best)$2.00
Long-context rateSame rateSame rate
Price sourceOfficial Moonshot AI APIOfficial Meta API
Limits
Context window262,144 tokens1,048,576 tokens (best)
Max output262,144 tokens (best)131,072 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoYes
AudioNoYes
VideoYesYes
ReasoningYesYesminimal · low · medium · high · xhigh
Tool callingYesYes
Structured outputYesYes
Availability
WeightsOpenProprietary
API model IDkimi-k2.7-codemuse-spark-1.2
API providers51 (best)15
ReleasedJun 12, 2026Aug 5, 2026
Knowledge cutoffJan 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
  • Muse Spark 1.2$21.00
04 — Questions

Which should you choose?

Which is better: Kimi K2.7 Code or Muse Spark 1.2?

Muse Spark 1.2 is the better all-round choice, scoring 72/100 against Kimi K2.7 Code (64). It leads on capability, inputs & features and context window. Kimi K2.7 Code wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Kimi K2.7 Code or Muse Spark 1.2?

Kimi K2.7 Code is cheaper at $0.95 input / $4.00 output per million tokens (official Moonshot AI API price). Muse Spark 1.2 costs $1.25 input / $4.25 output per million tokens (official Meta 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 $2.00 for Muse Spark 1.2 (1.2× as much).

Which scores higher on benchmarks?

Muse Spark 1.2 scores higher on the Capabilities Index (ECI): Muse Spark 1.2 155.0 (#30 of 148) and Kimi K2.7 Code 150.0 (#49 of 148). Their confidence ranges do not overlap (152.8–157.5 vs 148.1–151.8), so the gap is a real one. On individual benchmarks: SimpleQA Verified — Muse Spark 1.2 60.3%, Kimi K2.7 Code 36.5%.

Which is better for coding?

There are no published SWE-bench Verified results for Kimi K2.7 Code and Muse Spark 1.2 yet, so there is no like-for-like coding score. On overall capability, Muse Spark 1.2 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?

Muse Spark 1.2 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, Muse Spark 1.2 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Kimi K2.7 Code accepts text, images and video; Muse Spark 1.2 accepts text, images, PDFs, audio and video. Muse Spark 1.2 handles the widest range of inputs.

Are any of these open source?

Kimi K2.7 Code publishes its weights and can be self-hosted; Muse Spark 1.2 is proprietary.

Which is newer?

Muse Spark 1.2 is the newest, released Aug 5, 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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