ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Gemini 3.6 Flash vs Muse Spark 1.1 vs Solar Pro 4

Gemini 3.6 Flash comes out ahead, 63 to 57 and 55 on our weighted score, though Solar Pro 4 is 2.9× cheaper per token.

  1. Our pick

    Google

    Gemini 3.6 Flash

    Released Jul 21, 2026

    63/100
    • ECI154.3
    • Price$0.75 / $3.75
    • Context1.05M
  2. Meta

    Muse Spark 1.1

    Released Jul 9, 2026

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

    Solar Pro 4

    Released Aug 6, 2026

    55/100
    • ECI—
    • Price$0.30 / $1.20
    • Context524K
01 — Verdict

Gemini 3.6 Flash is our pick

Gemini 3.6 Flash is the better all-round choice, scoring 63/100 against Muse Spark 1.1 (57) and Solar Pro 4 (55). It leads on inputs & features. Solar Pro 4 wins on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceSolar Pro 4Solar Pro 4 $0.525 · Gemini 3.6 Flash $1.50 · Muse Spark 1.1 $2.00 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 · Solar Pro 4 524,288 tokens
  • Widest inputsGemini 3.6 FlashGemini 3.6 Flash: Text, Images, PDFs, Audio, Video · Muse Spark 1.1: Text, Images, PDFs, Video · Solar Pro 4: Text
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightGemini 3.6 FlashMuse Spark 1.1Solar Pro 4
Price50%423663
Inputs & features30%1009045
Context window20%616149
Overall100%63/10057/10055/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

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 Muse Spark 1.1 vs Solar Pro 4 specifications side by side
SpecificationGemini 3.6 FlashGoogleMuse Spark 1.1MetaSolar Pro 4Upstage
Capability
Capabilities Index (ECI)154.3 (best)154.3—
ECI rank#34 of 148 (best)#35 of 148—
GPQA DiamondGraduate-level science questions94.1%——
FrontierMath Tiers 1–3Research-level mathematics59.0%——
OTIS Mock AIME 2024–2025Competition mathematics94.2%——
SimpleQA VerifiedShort factual questions66.2% (best)57.8%—
Price per million tokens
Input$0.75$1.25$0.30 (best)
Output$3.75$4.25$1.20 (best)
Cached input$0.075$0.15$0.06 (best)
Blended (3:1)$1.50$2.00$0.525 (best)
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Google APIOfficial Meta APIOfficial Upstage API
Limits
Context window1,048,576 tokens (best)1,048,576 tokens (best)524,288 tokens
Max output65,536 tokens131,072 tokens (best)131,072 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesNo
PDFsYesYesNo
AudioYesNoNo
VideoYesYesNo
ReasoningYesminimal · low · medium · highYesminimal · low · medium · high · xhighYesminimal · low · medium · high · xhigh · max
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryProprietaryProprietary
API model IDgemini-3.6-flashmuse-spark-1.1solar-pro4
API providers25 (best)133
ReleasedJul 21, 2026Jul 9, 2026Aug 6, 2026
Knowledge cutoffMar 2026—Feb 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
  • Muse Spark 1.1$21.00
  • Solar Pro 4$5.40
04 — Questions

Which should you choose?

Which is better: Gemini 3.6 Flash, Muse Spark 1.1 or Solar Pro 4?

Gemini 3.6 Flash is the better all-round choice, scoring 63/100 against Muse Spark 1.1 (57) and Solar Pro 4 (55). It leads on inputs & features. Solar Pro 4 wins on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Gemini 3.6 Flash, Muse Spark 1.1 or Solar Pro 4?

Solar Pro 4 is cheaper at $0.30 input / $1.20 output per million tokens (official Upstage API price). Gemini 3.6 Flash costs $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). At a typical mix of three input tokens to one output token, that is $0.525 per million tokens for Solar Pro 4 versus $1.50 for Gemini 3.6 Flash (2.9× as much) and $2.00 for Muse Spark 1.1 (3.8× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Gemini 3.6 Flash has an ECI of 154.3, Muse Spark 1.1 has an ECI of 154.3 and Solar Pro 4 has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Gemini 3.6 Flash, Muse Spark 1.1 and Solar Pro 4 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. 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 524,288 for Solar Pro 4. Maximum output per response: Gemini 3.6 Flash up to 65,536, Muse Spark 1.1 up to 131,072, Solar Pro 4 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Gemini 3.6 Flash accepts text, images, PDFs, audio and video; Muse Spark 1.1 accepts text, images, PDFs and video; Solar Pro 4 accepts text. Gemini 3.6 Flash handles the widest range of inputs.

Are any of these open source?

No. Gemini 3.6 Flash, Muse Spark 1.1 and Solar Pro 4 are proprietary and only available through APIs and apps.

Which is newer?

Solar Pro 4 is the newest, released Aug 6, 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, Solar Pro 4 Feb 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.