ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Muse Spark 1.1 vs Kimi K2.6

Muse Spark 1.1 comes out ahead, 70 to 65 on our weighted score, though Kimi K2.6 is 14% cheaper per token.

  1. Our pick

    Meta

    Muse Spark 1.1

    Released Jul 9, 2026

    70/100
    • ECI154.3
    • Price$1.25 / $4.25
    • Context1.05M
    Full specs Remove Muse Spark 1.1

  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

    Make it a three-way comparison.

01 — Verdict

Muse Spark 1.1 is our pick

Muse Spark 1.1 is the better all-round choice, scoring 70/100 against Kimi K2.6 (65). It leads on capability, inputs & features and context window. Kimi K2.6 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityMuse Spark 1.1Capabilities Index (ECI): Muse Spark 1.1 154.3 · Kimi K2.6 151.1
  • Lowest priceKimi K2.6Kimi K2.6 $1.71 · Muse Spark 1.1 $2.00 per 1M tokens (3:1 blend)
  • Longest contextMuse Spark 1.1Muse Spark 1.1 1,048,576 · Kimi K2.6 262,144 tokens
  • Widest inputsMuse Spark 1.1Muse Spark 1.1: Text, Images, PDFs, Video · Kimi K2.6: Text, Images, Video
  • Self-hostingKimi K2.6Publishes downloadable weights
How the score is built
MeasureWeightMuse Spark 1.1Kimi K2.6
CapabilityCapabilities Index (ECI)50%8479
Price25%3639
Inputs & features15%9080
Context window10%6137
Overall100%70/10065/100
02 — Side by side

Every spec in one table

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

Muse Spark 1.1 vs Kimi K2.6 specifications side by side
SpecificationMuse Spark 1.1MetaKimi K2.6Moonshot AI
Capability
Capabilities Index (ECI)154.3 (best)151.1
ECI rank#35 of 148 (best)#45 of 148
GPQA DiamondGraduate-level science questions—90.8%
FrontierMath Tiers 1–3Research-level mathematics—57.2%
OTIS Mock AIME 2024–2025Competition mathematics—96.1%
SWE-bench VerifiedFixing real GitHub issues—76.7%
SimpleQA VerifiedShort factual questions57.8% (best)34.9%
Price per million tokens
Input$1.25$0.95 (best)
Output$4.25$4.00 (best)
Cached input$0.15 (best)$0.16
Blended (3:1)$2.00$1.71 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Meta APIOfficial Moonshot AI API
Limits
Context window1,048,576 tokens (best)262,144 tokens
Max output131,072 tokens262,144 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsYesNo
AudioNoNo
VideoYesYes
ReasoningYesminimal · low · medium · high · xhighYes
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryOpen
API model IDmuse-spark-1.1kimi-k2.6
API providers1346 (best)
ReleasedJul 9, 2026Apr 21, 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.

  • Muse Spark 1.1$21.00
  • Kimi K2.6$17.50
04 — Questions

Which should you choose?

Which is better: Muse Spark 1.1 or Kimi K2.6?

Muse Spark 1.1 is the better all-round choice, scoring 70/100 against Kimi K2.6 (65). It leads on capability, inputs & features and context window. Kimi K2.6 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Muse Spark 1.1 or Kimi K2.6?

Kimi K2.6 is cheaper at $0.95 input / $4.00 output per million tokens (official Moonshot AI API price). Muse Spark 1.1 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 K2.6 versus $2.00 for Muse Spark 1.1 (1.2× as much).

Which scores higher on benchmarks?

Muse Spark 1.1 scores higher on the Capabilities Index (ECI): Muse Spark 1.1 154.3 (#35 of 148) and Kimi K2.6 151.1 (#45 of 148). The confidence ranges of the top two overlap (152.2–157.1 vs 149.1–152.8), so treat the gap as small. On individual benchmarks: SimpleQA Verified — Muse Spark 1.1 57.8%, Kimi K2.6 34.9%.

Which is better for coding?

There are no published SWE-bench Verified results for Muse Spark 1.1 yet, so there is no like-for-like coding score. On overall capability, Muse Spark 1.1 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 1.1 has the largest context window at 1,048,576 tokens, against 262,144 for Kimi K2.6. Maximum output per response: Muse Spark 1.1 up to 131,072, Kimi K2.6 up to 262,144 tokens.

Which can read images, PDFs, audio or video?

Muse Spark 1.1 accepts text, images, PDFs and video; Kimi K2.6 accepts text, images and video. Muse Spark 1.1 handles the widest range of inputs.

Are any of these open source?

Kimi K2.6 publishes its weights and can be self-hosted; Muse Spark 1.1 is proprietary.

Which is newer?

Muse Spark 1.1 is the newest, released Jul 9, 2026. Kimi K2.6 came out Apr 21, 2026. Knowledge cutoff: 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

Related comparisons