ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Muse Spark 1.1 vs Qwen3 235B-A22B vs Gemini 3.6 Flash

Too close to call on our weighted score (Gemini 3.6 Flash 73, Muse Spark 1.1 70, Qwen3 235B-A22B 51). 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 235B-A22B

    Released Apr 28, 2025

    51/100
    • ECI139.4
    • Price$0.70 / $2.80
    • Context131K
  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 235B-A22B 51/100), so choose by what matters most for your work: Gemini 3.6 Flash for raw capability and Qwen3 235B-A22B on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGemini 3.6 FlashCapabilities Index (ECI): Gemini 3.6 Flash 154.3 · Muse Spark 1.1 154.3 · Qwen3 235B-A22B 139.4
  • Lowest priceQwen3 235B-A22BQwen3 235B-A22B $1.23 · Gemini 3.6 Flash $1.50 · Muse Spark 1.1 $2.00 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 235B-A22B 131,072 tokens
  • Widest inputsGemini 3.6 FlashMuse Spark 1.1: Text, Images, PDFs, Video · Qwen3 235B-A22B: Text · Gemini 3.6 Flash: Text, Images, PDFs, Audio, Video
  • Self-hostingQwen3 235B-A22BPublishes downloadable weights
How the score is built
MeasureWeightMuse Spark 1.1Qwen3 235B-A22BGemini 3.6 Flash
CapabilityCapabilities Index (ECI)50%846584
Price25%364642
Inputs & features15%9035100
Context window10%612461
Overall100%70/10051/10073/100
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 235B-A22B vs Gemini 3.6 Flash specifications side by side
SpecificationMuse Spark 1.1MetaQwen3 235B-A22BAlibaba (Qwen)Gemini 3.6 FlashGoogle
Capability
Capabilities Index (ECI)154.3139.4154.3 (best)
ECI rank#35 of 148#103 of 148#34 of 148 (best)
GPQA DiamondGraduate-level science questions—70.7%94.1% (best)
FrontierMath Tiers 1–3Research-level mathematics——59.0%
OTIS Mock AIME 2024–2025Competition mathematics——94.2%
SimpleQA VerifiedShort factual questions57.8%—66.2% (best)
Price per million tokens
Input$1.25$0.70 (best)$0.75
Output$4.25$2.80 (best)$3.75
Cached input$0.15—$0.075 (best)
Blended (3:1)$2.00$1.23 (best)$1.50
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Meta APIOfficial Alibaba APIOfficial Google API
Limits
Context window1,048,576 tokens (best)131,072 tokens1,048,576 tokens (best)
Max output131,072 tokens (best)16,384 tokens65,536 tokens
Inputs and features
TextYesYesYes
ImagesYesNoYes
PDFsYesNoYes
AudioNoNoYes
VideoYesNoYes
ReasoningYesminimal · low · medium · high · xhighYesYesminimal · low · medium · high
Tool callingYesYesYes
Structured outputYesNoYes
Availability
WeightsProprietaryOpenProprietary
API model IDmuse-spark-1.1qwen3-235b-a22bgemini-3.6-flash
API providers13725 (best)
ReleasedJul 9, 2026Apr 28, 2025Jul 21, 2026
Knowledge cutoff—Apr 2025Mar 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 235B-A22B$12.60
  • Gemini 3.6 Flash$15.00
04 — Questions

Which should you choose?

Which is better: Muse Spark 1.1, Qwen3 235B-A22B 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 235B-A22B 51/100), so choose by what matters most for your work: Gemini 3.6 Flash for raw capability and Qwen3 235B-A22B on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Muse Spark 1.1, Qwen3 235B-A22B or Gemini 3.6 Flash?

Qwen3 235B-A22B is cheaper at $0.70 input / $2.80 output per million tokens (official Alibaba 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 $1.23 per million tokens for Qwen3 235B-A22B versus $1.50 for Gemini 3.6 Flash (1.2× as much) and $2.00 for Muse Spark 1.1 (1.6× as much).

Which scores higher on benchmarks?

Gemini 3.6 Flash scores higher on the Capabilities Index (ECI): Gemini 3.6 Flash 154.3 (#34 of 148), Muse Spark 1.1 154.3 (#35 of 148) and Qwen3 235B-A22B 139.4 (#103 of 148). The confidence ranges of the top two overlap (152.6–156.3 vs 152.2–157.1), so treat the gap as small.

Which is better for coding?

There are no published SWE-bench Verified results for Muse Spark 1.1, Qwen3 235B-A22B 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 131,072 for Qwen3 235B-A22B. Maximum output per response: Muse Spark 1.1 up to 131,072, Qwen3 235B-A22B up to 16,384, 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 235B-A22B accepts text; 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?

Qwen3 235B-A22B publishes its weights and can be self-hosted; Muse Spark 1.1 and Gemini 3.6 Flash is proprietary.

Which is newer?

Gemini 3.6 Flash is the newest, released Jul 21, 2026. Muse Spark 1.1 came out Jul 9, 2026; Qwen3 235B-A22B came out Apr 28, 2025. Knowledge cutoff: Qwen3 235B-A22B Apr 2025, 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.