ZMIME
Comparison · 3 models · Updated Nov 2, 2026

Muse Spark 1.1 vs Muse Spark Open vs Gemini 3.6 Flash

Gemini 3.6 Flash comes out ahead, 72 to 69 and 68 on our weighted score, and it is the cheaper option too.

  1. Meta

    Muse Spark 1.1

    Released Jul 9, 2026

    69/100
    • ECI154.2
    • Price$1.25 / $4.25
    • Context1.05M
  2. Meta

    Muse Spark Open

    Released Oct 15, 2026New

    68/100
    • ECI155.1
    • Price$1.25 / $4.25
    • Context1.05M
  3. Our pick

    Google

    Gemini 3.6 Flash

    Released Jul 21, 2026

    72/100
    • ECI154.7
    • Price$0.75 / $3.75
    • Context1.05M
01 — Verdict

Gemini 3.6 Flash is our pick

Gemini 3.6 Flash is the better all-round choice, scoring 72/100 against Muse Spark 1.1 (69) and Muse Spark Open (68). It leads on price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityMuse Spark OpenCapabilities Index (ECI): Muse Spark Open 155.1 · Gemini 3.6 Flash 154.7 · Muse Spark 1.1 154.2
  • Lowest priceGemini 3.6 FlashGemini 3.6 Flash $1.50 · Muse Spark 1.1 $2.00 · Muse Spark Open $2.00 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameMuse Spark 1.1 1,048,576 · Muse Spark Open 1,048,576 · Gemini 3.6 Flash 1,048,576 tokens
  • Widest inputsGemini 3.6 FlashMuse Spark 1.1: Text, Images, PDFs, Video · Muse Spark Open: Text, Images, Audio, Video · Gemini 3.6 Flash: Text, Images, PDFs, Audio, Video
  • Self-hostingMuse Spark OpenPublishes downloadable weights (Muse Model License)
How the score is built
MeasureWeightMuse Spark 1.1Muse Spark OpenGemini 3.6 Flash
CapabilityCapabilities Index (ECI)50%828382
Price25%343440
Inputs & features15%9080100
Context window10%616161
Overall100%69/10068/10072/100
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 Muse Spark Open vs Gemini 3.6 Flash specifications side by side
SpecificationMuse Spark 1.1MetaMuse Spark OpenMetaGemini 3.6 FlashGoogle
Capability
Capabilities Index (ECI)154.2155.1 (best)154.7
ECI rank#46 of 165#39 of 165 (best)#42 of 165
GPQA DiamondGraduate-level science questions—88.6%94.1% (best)
FrontierMath Tiers 1–3Research-level mathematics—69.8% (best)59.0%
OTIS Mock AIME 2024–2025Competition mathematics—98.1% (best)94.2%
SimpleQA VerifiedShort factual questions57.8%56.6%66.2% (best)
Price per million tokens
Input$1.25$1.25$0.75 (best)
Output$4.25$4.25$3.75 (best)
Cached input$0.15—$0.075 (best)
Blended (3:1)$2.00$2.00$1.50 (best)
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Meta APIMedian of 16 providersOfficial Google API
Limits
Context window1,048,576 tokens1,048,576 tokens1,048,576 tokens
Max output131,072 tokens (best)131,072 tokens (best)65,536 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesNoYes
AudioNoYesYes
VideoYesYesYes
ReasoningYesminimal · low · medium · high · xhighYesYesminimal · low · medium · high
Tool callingYesYesYes
Structured outputYesNoYes
Availability
WeightsProprietaryOpenMuse Model LicenseProprietary
API model IDmuse-spark-1.1—gemini-3.6-flash
API providers151631 (best)
ReleasedJul 9, 2026Oct 15, 2026Jul 21, 2026
Knowledge cutoff—Jan 4, 2026Mar 2026
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
  • Muse Spark Open$21.00
  • Gemini 3.6 Flash$15.00
04 — Questions

Which should you choose?

Which is better: Muse Spark 1.1, Muse Spark Open or Gemini 3.6 Flash?

Gemini 3.6 Flash is the better all-round choice, scoring 72/100 against Muse Spark 1.1 (69) and Muse Spark Open (68). It leads on price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Muse Spark 1.1, Muse Spark Open or Gemini 3.6 Flash?

Gemini 3.6 Flash is cheaper at $0.75 input / $3.75 output per million tokens (official Google API price). Muse Spark 1.1 costs $1.25 input / $4.25 output per million tokens (official Meta API price); Muse Spark Open costs $1.25 input / $4.25 output per million tokens (median across 16 API providers). At a typical mix of three input tokens to one output token, that is $1.50 per million tokens for Gemini 3.6 Flash versus $2.00 for Muse Spark 1.1 (1.3× as much) and $2.00 for Muse Spark Open (1.3× as much).

Which scores higher on benchmarks?

Muse Spark Open scores higher on the Capabilities Index (ECI): Muse Spark Open 155.1 (#39 of 165), Gemini 3.6 Flash 154.7 (#42 of 165) and Muse Spark 1.1 154.2 (#46 of 165). The confidence ranges of the top two overlap (153.1–157.3 vs 153.0–156.7), so treat the gap as small. On individual benchmarks: SimpleQA Verified — Gemini 3.6 Flash 66.2%, Muse Spark 1.1 57.8%, Muse Spark Open 56.6%.

Which is better for coding?

There are no published SWE-bench Verified results for Muse Spark 1.1, Muse Spark Open and Gemini 3.6 Flash yet, so there is no like-for-like coding score. On overall capability, Muse Spark Open leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

Which has the bigger context window?

Muse Spark 1.1, Muse Spark Open and Gemini 3.6 Flash share the same 1,048,576-token context window. Maximum output per response: Muse Spark 1.1 up to 131,072, Muse Spark Open up to 131,072, Gemini 3.6 Flash up to 65,536 tokens.

Which can read images, PDFs, audio or video?

Muse Spark 1.1 accepts text, images, PDFs and video; Muse Spark Open accepts text, images, audio and video; Gemini 3.6 Flash accepts text, images, PDFs, audio and video. Gemini 3.6 Flash handles the widest range of inputs.

Are any of these open source?

Muse Spark Open publishes its weights (Muse Model License) and can be self-hosted; Muse Spark 1.1 and Gemini 3.6 Flash is proprietary.

Which is newer?

Muse Spark Open is the newest, released Oct 15, 2026. Gemini 3.6 Flash came out Jul 21, 2026; Muse Spark 1.1 came out Jul 9, 2026. Knowledge cutoff: Muse Spark Open Jan 4, 2026, Gemini 3.6 Flash Mar 2026.

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 Nov 2, 2026.