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Comparison · 3 models · Updated Oct 4, 2026

Muse Spark 1.1 vs Qwen3.8 Max vs Gemini 3.6 Flash

Too close to call on our weighted score (Gemini 3.6 Flash 73, Muse Spark 1.1 70, Qwen3.8 Max 69). The right pick depends on what you value most.

  1. Meta

    Muse Spark 1.1

    Released Jul 9, 2026

    70/100
    • ECI154.3
    • Price$1.25 / $4.25
    • Context1.05M
  2. Alibaba (Qwen)

    Qwen3.8 Max

    Released Aug 3, 2026

    69/100
    • ECI156.6
    • Price$2.00 / $6.00
    • Context1M
  3. Google

    Gemini 3.6 Flash

    Released Jul 21, 2026

    73/100
    • ECI154.3
    • Price$0.75 / $3.75
    • 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, Qwen3.8 Max 69/100), so choose by what matters most for your work: Qwen3.8 Max for raw capability and Gemini 3.6 Flash on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityQwen3.8 MaxCapabilities Index (ECI): Qwen3.8 Max 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 · Qwen3.8 Max $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 · Qwen3.8 Max 1,000,000 tokens
  • Widest inputsGemini 3.6 FlashMuse Spark 1.1: Text, Images, PDFs, Video · Qwen3.8 Max: Text, Images, PDFs, Video · 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 1.1Qwen3.8 MaxGemini 3.6 Flash
CapabilityCapabilities Index (ECI)50%848684
Price25%362742
Inputs & features15%9090100
Context window10%616061
Overall100%70/10069/10073/100
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 Qwen3.8 Max vs Gemini 3.6 Flash specifications side by side
SpecificationMuse Spark 1.1MetaQwen3.8 MaxAlibaba (Qwen)Gemini 3.6 FlashGoogle
Capability
Capabilities Index (ECI)154.3156.6 (best)154.3
ECI rank#35 of 148#20 of 148 (best)#34 of 148
GPQA DiamondGraduate-level science questions—92.7%94.1% (best)
FrontierMath Tiers 1–3Research-level mathematics—74.7% (best)59.0%
OTIS Mock AIME 2024–2025Competition mathematics—99.4% (best)94.2%
SimpleQA VerifiedShort factual questions57.8%45.8%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$0.25$0.075 (best)
Blended (3:1)$2.00$3.00$1.50 (best)
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Meta APIOfficial Alibaba APIOfficial Google API
Limits
Context window1,048,576 tokens (best)1,000,000 tokens1,048,576 tokens (best)
Max output131,072 tokens (best)131,072 tokens (best)65,536 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesYesYes
AudioNoNoYes
VideoYesYesYes
ReasoningYesminimal · low · medium · high · xhighYeslow · medium · xhighYesminimal · low · medium · high
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryProprietaryProprietary
API model IDmuse-spark-1.1qwen3.8-maxgemini-3.6-flash
API providers1325 (best)25 (best)
ReleasedJul 9, 2026Aug 3, 2026Jul 21, 2026
Knowledge cutoff——Mar 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
  • Qwen3.8 Max$32.00
  • Gemini 3.6 Flash$15.00
04 — Questions

Which should you choose?

Which is better: Muse Spark 1.1, Qwen3.8 Max or Gemini 3.6 Flash?

It is close. Our weighted score puts them within 3 points (Gemini 3.6 Flash 73/100, Muse Spark 1.1 70/100, Qwen3.8 Max 69/100), so choose by what matters most for your work: Qwen3.8 Max 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, Muse Spark 1.1, Qwen3.8 Max 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); Qwen3.8 Max costs $2.00 input / $6.00 output per million tokens (official Alibaba 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 Qwen3.8 Max (2× as much).

Which scores higher on benchmarks?

Qwen3.8 Max scores higher on the Capabilities Index (ECI): Qwen3.8 Max 156.6 (#20 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 (154.5–158.8 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%, Qwen3.8 Max 45.8%.

Which is better for coding?

There are no published SWE-bench Verified results for Muse Spark 1.1, Qwen3.8 Max and Gemini 3.6 Flash yet, so there is no like-for-like coding score. On overall capability, Qwen3.8 Max 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 1,000,000 for Qwen3.8 Max. Maximum output per response: Muse Spark 1.1 up to 131,072, Qwen3.8 Max 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; Qwen3.8 Max accepts text, images, PDFs 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?

No. Muse Spark 1.1, Qwen3.8 Max and Gemini 3.6 Flash are proprietary and only available through APIs and apps.

Which is newer?

Qwen3.8 Max is the newest, released Aug 3, 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.

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.