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Comparison · 3 models · Updated Oct 4, 2026

Muse Spark 1.1 vs Grok 4.7 vs Gemini 3.6 Flash

Gemini 3.6 Flash comes out ahead, 65 to 57 and 52 on our weighted score, and it is the cheaper option too.

  1. Meta

    Muse Spark 1.1

    Released Jul 9, 2026

    57/100
    • ECI154.3
    • Price$1.25 / $4.25
    • Context1.05M
  2. xAI

    Grok 4.7

    Released Sep 21, 2026

    52/100
    • ECI—
    • Price$2.00 / $6.00
    • Context500K
  3. Our pick

    Google

    Gemini 3.6 Flash

    Released Jul 21, 2026

    65/100
    • ECI154.3
    • 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 65/100 against Muse Spark 1.1 (57) and Grok 4.7 (52). It leads on capability, price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (SimpleQA Verified), because Grok 4.7 has no Capabilities Index score yet.

  • CapabilityGemini 3.6 FlashShared benchmarks: Gemini 3.6 Flash 66.2% · Muse Spark 1.1 57.8% · Grok 4.7 56.0%
  • Lowest priceGemini 3.6 FlashGemini 3.6 Flash $1.50 · Muse Spark 1.1 $2.00 · Grok 4.7 $3.00 per 1M tokens (3:1 blend)
  • Longest contextMuse Spark 1.1 and Gemini 3.6 FlashMuse Spark 1.1 1,048,576 · Gemini 3.6 Flash 1,048,576 · Grok 4.7 500,000 tokens
  • Widest inputsGemini 3.6 FlashMuse Spark 1.1: Text, Images, PDFs, Video · Grok 4.7: Text, Images, PDFs · Gemini 3.6 Flash: Text, Images, PDFs, Audio, Video
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightMuse Spark 1.1Grok 4.7Gemini 3.6 Flash
CapabilityShared benchmarks50%585666
Price25%362742
Inputs & features15%9080100
Context window10%614861
Overall100%57/10052/10065/100
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 Grok 4.7 vs Gemini 3.6 Flash specifications side by side
SpecificationMuse Spark 1.1MetaGrok 4.7xAIGemini 3.6 FlashGoogle
Capability
Capabilities Index (ECI)154.3—154.3 (best)
ECI rank#35 of 148—#34 of 148 (best)
GPQA DiamondGraduate-level science questions—92.7%94.1% (best)
FrontierMath Tiers 1–3Research-level mathematics—53.0%59.0% (best)
OTIS Mock AIME 2024–2025Competition mathematics—98.1% (best)94.2%
SimpleQA VerifiedShort factual questions57.8%56.0%66.2% (best)
Price per million tokens
Input$1.25$2.00$0.75 (best)
Output$4.25$6.00$3.75 (best)
Cached input$0.15$0.50$0.075 (best)
Blended (3:1)$2.00$3.00$1.50 (best)
Long-context rateSame rateOver 200K: $4.00 / $12.00Same rate
Price sourceOfficial Meta APIOfficial xAI APIOfficial Google API
Limits
Context window1,048,576 tokens (best)500,000 tokens1,048,576 tokens (best)
Max output131,072 tokens500,000 tokens (best)65,536 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesYesYes
AudioNoNoYes
VideoYesNoYes
ReasoningYesminimal · low · medium · high · xhighYeslow · medium · high · xhighYesminimal · low · medium · high
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryProprietaryProprietary
API model IDmuse-spark-1.1grok-4.7gemini-3.6-flash
API providers131725 (best)
ReleasedJul 9, 2026Sep 21, 2026Jul 21, 2026
Knowledge cutoff—May 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
  • Grok 4.7$32.00
  • Gemini 3.6 Flash$15.00
04 — Questions

Which should you choose?

Which is better: Muse Spark 1.1, Grok 4.7 or Gemini 3.6 Flash?

Gemini 3.6 Flash is the better all-round choice, scoring 65/100 against Muse Spark 1.1 (57) and Grok 4.7 (52). It leads on capability, price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (SimpleQA Verified), because Grok 4.7 has no Capabilities Index score yet.

Which is cheaper, Muse Spark 1.1, Grok 4.7 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); Grok 4.7 costs $2.00 input / $6.00 output per million tokens (official xAI API price). 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 $3.00 for Grok 4.7 (2× as much).

Which scores higher on benchmarks?

Not every model here has a Capabilities Index score, so we compare the average of shared benchmarks (SimpleQA Verified): Gemini 3.6 Flash 66.2%, Muse Spark 1.1 57.8% and Grok 4.7 56.0%. On individual benchmarks: SimpleQA Verified — Gemini 3.6 Flash 66.2%, Muse Spark 1.1 57.8%, Grok 4.7 56.0%.

Which is better for coding?

There are no published SWE-bench Verified results for Muse Spark 1.1, Grok 4.7 and Gemini 3.6 Flash yet, so there is no like-for-like coding score. On overall capability, Gemini 3.6 Flash 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 and Gemini 3.6 Flash have the largest context windows (1,048,576 and 1,048,576 tokens), against 500,000 for Grok 4.7. Maximum output per response: Muse Spark 1.1 up to 131,072, Grok 4.7 up to 500,000, 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; Grok 4.7 accepts text, images and PDFs; 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?

No. Muse Spark 1.1, Grok 4.7 and Gemini 3.6 Flash are proprietary and only available through APIs and apps.

Which is newer?

Grok 4.7 is the newest, released Sep 21, 2026. Gemini 3.6 Flash came out Jul 21, 2026; Muse Spark 1.1 came out Jul 9, 2026. Knowledge cutoff: Grok 4.7 May 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 Oct 4, 2026.