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Comparison · 3 models · Updated Oct 4, 2026

Gemini 3.6 Flash vs Grok 4.6 vs Muse Spark 1.1

Too close to call on our weighted score (Gemini 3.6 Flash 73, Muse Spark 1.1 70, Grok 4.6 65). The right pick depends on what you value most.

  1. Google

    Gemini 3.6 Flash

    Released Jul 21, 2026

    73/100
    • ECI154.3
    • Price$0.75 / $3.75
    • Context1.05M
  2. xAI

    Grok 4.6

    Released Aug 12, 2026

    65/100
    • ECI156.6
    • Price$2.00 / $6.00
    • Context500K
  3. Meta

    Muse Spark 1.1

    Released Jul 9, 2026

    70/100
    • ECI154.3
    • Price$1.25 / $4.25
    • Context1.05M
01 — Verdict

Too close to call

It is close. Our weighted score puts them within 3 points (Gemini 3.6 Flash 73/100, Muse Spark 1.1 70/100, Grok 4.6 65/100), so choose by what matters most for your work: Grok 4.6 for raw capability and Gemini 3.6 Flash on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGrok 4.6Capabilities Index (ECI): Grok 4.6 156.6 · Gemini 3.6 Flash 154.3 · Muse Spark 1.1 154.3
  • Lowest priceGemini 3.6 FlashGemini 3.6 Flash $1.50 · Muse Spark 1.1 $2.00 · Grok 4.6 $3.00 per 1M tokens (3:1 blend)
  • Longest contextGemini 3.6 Flash and Muse Spark 1.1Gemini 3.6 Flash 1,048,576 · Muse Spark 1.1 1,048,576 · Grok 4.6 500,000 tokens
  • Widest inputsGemini 3.6 FlashGemini 3.6 Flash: Text, Images, PDFs, Audio, Video · Grok 4.6: Text, Images · Muse Spark 1.1: Text, Images, PDFs, Video
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightGemini 3.6 FlashGrok 4.6Muse Spark 1.1
CapabilityCapabilities Index (ECI)50%848684
Price25%422736
Inputs & features15%1007090
Context window10%614861
Overall100%73/10065/10070/100
02 — Side by side

Every spec in one table

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

Gemini 3.6 Flash vs Grok 4.6 vs Muse Spark 1.1 specifications side by side
SpecificationGemini 3.6 FlashGoogleGrok 4.6xAIMuse Spark 1.1Meta
Capability
Capabilities Index (ECI)154.3156.6 (best)154.3
ECI rank#34 of 148#19 of 148 (best)#35 of 148
GPQA DiamondGraduate-level science questions94.1% (best)94.0%—
FrontierMath Tiers 1–3Research-level mathematics59.0%66.0% (best)—
OTIS Mock AIME 2024–2025Competition mathematics94.2%99.2% (best)—
SimpleQA VerifiedShort factual questions66.2% (best)49.3%57.8%
Price per million tokens
Input$0.75 (best)$2.00$1.25
Output$3.75 (best)$6.00$4.25
Cached input$0.075 (best)$0.50$0.15
Blended (3:1)$1.50 (best)$3.00$2.00
Long-context rateSame rateOver 200K: $4.00 / $12.00Same rate
Price sourceOfficial Google APIOfficial xAI APIOfficial Meta API
Limits
Context window1,048,576 tokens (best)500,000 tokens1,048,576 tokens (best)
Max output65,536 tokens500,000 tokens (best)131,072 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesNoYes
AudioYesNoNo
VideoYesNoYes
ReasoningYesminimal · low · medium · highYeslow · medium · high · xhighYesminimal · low · medium · high · xhigh
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryProprietaryProprietary
API model IDgemini-3.6-flashgrok-4.6muse-spark-1.1
API providers2529 (best)13
ReleasedJul 21, 2026Aug 12, 2026Jul 9, 2026
Knowledge cutoffMar 2026Feb 1, 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.

  • Gemini 3.6 Flash$15.00
  • Grok 4.6$32.00
  • Muse Spark 1.1$21.00
04 — Questions

Which should you choose?

Which is better: Gemini 3.6 Flash, Grok 4.6 or Muse Spark 1.1?

It is close. Our weighted score puts them within 3 points (Gemini 3.6 Flash 73/100, Muse Spark 1.1 70/100, Grok 4.6 65/100), so choose by what matters most for your work: Grok 4.6 for raw capability and Gemini 3.6 Flash on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Gemini 3.6 Flash, Grok 4.6 or Muse Spark 1.1?

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 4.6 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 4.6 (2× as much).

Which scores higher on benchmarks?

Grok 4.6 scores higher on the Capabilities Index (ECI): Grok 4.6 156.6 (#19 of 148), Gemini 3.6 Flash 154.3 (#34 of 148) and Muse Spark 1.1 154.3 (#35 of 148). The confidence ranges of the top two overlap (154.7–158.9 vs 152.6–156.3), so treat the gap as small. On individual benchmarks: SimpleQA Verified — Gemini 3.6 Flash 66.2%, Muse Spark 1.1 57.8%, Grok 4.6 49.3%.

Which is better for coding?

There are no published SWE-bench Verified results for Gemini 3.6 Flash, Grok 4.6 and Muse Spark 1.1 yet, so there is no like-for-like coding score. On overall capability, Grok 4.6 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?

Gemini 3.6 Flash and Muse Spark 1.1 have the largest context windows (1,048,576 and 1,048,576 tokens), against 500,000 for Grok 4.6. Maximum output per response: Gemini 3.6 Flash up to 65,536, Grok 4.6 up to 500,000, Muse Spark 1.1 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Gemini 3.6 Flash accepts text, images, PDFs, audio and video; Grok 4.6 accepts text and images; Muse Spark 1.1 accepts text, images, PDFs and video. Gemini 3.6 Flash handles the widest range of inputs.

Are any of these open source?

No. Gemini 3.6 Flash, Grok 4.6 and Muse Spark 1.1 are proprietary and only available through APIs and apps.

Which is newer?

Grok 4.6 is the newest, released Aug 12, 2026. Gemini 3.6 Flash came out Jul 21, 2026; Muse Spark 1.1 came out Jul 9, 2026. Knowledge cutoff: Gemini 3.6 Flash Mar 2026, Grok 4.6 Feb 1, 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.