ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Grok 4.5 vs Muse Spark 1.1 vs Gemini 3.5 Flash

Too close to call on our weighted score (Muse Spark 1.1 70, Gemini 3.5 Flash 69, Grok 4.5 64). The right pick depends on what you value most.

  1. xAI

    Grok 4.5

    Released Jul 8, 2026

    64/100
    • ECI154.0
    • Price$2.00 / $6.00
    • Context500K
  2. Meta

    Muse Spark 1.1

    Released Jul 9, 2026

    70/100
    • ECI154.3
    • Price$1.25 / $4.25
    • Context1.05M
  3. Google

    Gemini 3.5 Flash

    Released May 19, 2026

    69/100
    • ECI154.5
    • Price$1.50 / $9.00
    • Context1.05M
01 — Verdict

Too close to call

It is close. Our weighted score puts them within 1 points (Muse Spark 1.1 70/100, Gemini 3.5 Flash 69/100, Grok 4.5 64/100), so choose by what matters most for your work: Gemini 3.5 Flash for raw capability and Muse Spark 1.1 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGemini 3.5 FlashCapabilities Index (ECI): Gemini 3.5 Flash 154.5 · Muse Spark 1.1 154.3 · Grok 4.5 154.0
  • Lowest priceMuse Spark 1.1Muse Spark 1.1 $2.00 · Grok 4.5 $3.00 · Gemini 3.5 Flash $3.38 per 1M tokens (3:1 blend)
  • Longest contextMuse Spark 1.1 and Gemini 3.5 FlashMuse Spark 1.1 1,048,576 · Gemini 3.5 Flash 1,048,576 · Grok 4.5 500,000 tokens
  • Widest inputsGemini 3.5 FlashGrok 4.5: Text, Images · Muse Spark 1.1: Text, Images, PDFs, Video · Gemini 3.5 Flash: Text, Images, PDFs, Audio, Video
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightGrok 4.5Muse Spark 1.1Gemini 3.5 Flash
CapabilityCapabilities Index (ECI)50%838484
Price25%273625
Inputs & features15%7090100
Context window10%486161
Overall100%64/10070/10069/100
02 — Side by side

Every spec in one table

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

Grok 4.5 vs Muse Spark 1.1 vs Gemini 3.5 Flash specifications side by side
SpecificationGrok 4.5xAIMuse Spark 1.1MetaGemini 3.5 FlashGoogle
Capability
Capabilities Index (ECI)154.0154.3154.5 (best)
ECI rank#36 of 148#35 of 148#33 of 148 (best)
GPQA DiamondGraduate-level science questions93.4% (best)—92.8%
FrontierMath Tiers 1–3Research-level mathematics57.2%—62.8% (best)
OTIS Mock AIME 2024–2025Competition mathematics97.8% (best)—95.6%
SWE-bench VerifiedFixing real GitHub issues——79.3%
SimpleQA VerifiedShort factual questions48.3%57.8%66.2% (best)
Price per million tokens
Input$2.00$1.25 (best)$1.50
Output$6.00$4.25 (best)$9.00
Cached input$0.30$0.15 (best)$0.15 (best)
Blended (3:1)$3.00$2.00 (best)$3.38
Long-context rateOver 200K: $4.00 / $12.00Same rateSame rate
Price sourceOfficial xAI APIOfficial Meta APIOfficial Google API
Limits
Context window500,000 tokens1,048,576 tokens (best)1,048,576 tokens (best)
Max output500,000 tokens (best)131,072 tokens65,536 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoYesYes
AudioNoNoYes
VideoNoYesYes
ReasoningYeslow · medium · highYesminimal · low · medium · high · xhighYesminimal · low · medium · high
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryProprietaryProprietary
API model IDgrok-4.5muse-spark-1.1gemini-3.5-flash
API providers241332 (best)
ReleasedJul 8, 2026Jul 9, 2026May 19, 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.

  • Grok 4.5$32.00
  • Muse Spark 1.1$21.00
  • Gemini 3.5 Flash$33.00
04 — Questions

Which should you choose?

Which is better: Grok 4.5, Muse Spark 1.1 or Gemini 3.5 Flash?

It is close. Our weighted score puts them within 1 points (Muse Spark 1.1 70/100, Gemini 3.5 Flash 69/100, Grok 4.5 64/100), so choose by what matters most for your work: Gemini 3.5 Flash for raw capability and Muse Spark 1.1 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Grok 4.5, Muse Spark 1.1 or Gemini 3.5 Flash?

Muse Spark 1.1 is cheaper at $1.25 input / $4.25 output per million tokens (official Meta API price). Grok 4.5 costs $2.00 input / $6.00 output per million tokens (official xAI API price); Gemini 3.5 Flash costs $1.50 input / $9.00 output per million tokens (official Google API price). At a typical mix of three input tokens to one output token, that is $2.00 per million tokens for Muse Spark 1.1 versus $3.00 for Grok 4.5 (1.5× as much) and $3.38 for Gemini 3.5 Flash (1.7× as much).

Which scores higher on benchmarks?

Gemini 3.5 Flash scores higher on the Capabilities Index (ECI): Gemini 3.5 Flash 154.5 (#33 of 148), Muse Spark 1.1 154.3 (#35 of 148) and Grok 4.5 154.0 (#36 of 148). The confidence ranges of the top two overlap (152.5–156.6 vs 152.2–157.1), so treat the gap as small. On individual benchmarks: SimpleQA Verified — Gemini 3.5 Flash 66.2%, Muse Spark 1.1 57.8%, Grok 4.5 48.3%.

Which is better for coding?

There are no published SWE-bench Verified results for Grok 4.5 and Muse Spark 1.1 yet, so there is no like-for-like coding score. On overall capability, Gemini 3.5 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 3.5 Flash have the largest context windows (1,048,576 and 1,048,576 tokens), against 500,000 for Grok 4.5. Maximum output per response: Grok 4.5 up to 500,000, Muse Spark 1.1 up to 131,072, Gemini 3.5 Flash up to 65,536 tokens.

Which can read images, PDFs, audio or video?

Grok 4.5 accepts text and images; Muse Spark 1.1 accepts text, images, PDFs and video; Gemini 3.5 Flash accepts text, images, PDFs, audio and video. Gemini 3.5 Flash handles the widest range of inputs.

Are any of these open source?

No. Grok 4.5, Muse Spark 1.1 and Gemini 3.5 Flash are proprietary and only available through APIs and apps.

Which is newer?

Muse Spark 1.1 is the newest, released Jul 9, 2026. Grok 4.5 came out Jul 8, 2026; Gemini 3.5 Flash came out May 19, 2026. Knowledge cutoff: Gemini 3.5 Flash 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.