ZMIME
Comparison · 3 models · Updated Nov 2, 2026

Muse Spark 1.1 vs Inkling Small vs Gemini 3.6 Flash

Gemini 3.6 Flash comes out ahead, 72 to 69 and 68 on our weighted score, though Inkling Small is 47% cheaper per token.

  1. Meta

    Muse Spark 1.1

    Released Jul 9, 2026

    69/100
    • ECI154.2
    • Price$1.25 / $4.25
    • Context1.05M
  2. Thinking Machines

    Inkling Small

    Released Jul 30, 2026

    68/100
    • ECI150.5
    • Price$0.58 / $1.44
    • Context1.05M
  3. Our pick

    Google

    Gemini 3.6 Flash

    Released Jul 21, 2026

    72/100
    • ECI154.7
    • Price$0.75 / $3.75
    • Context1.05M
01 — Verdict

Gemini 3.6 Flash is our pick

Gemini 3.6 Flash is the better all-round choice, scoring 72/100 against Muse Spark 1.1 (69) and Inkling Small (68). It leads on inputs & features. Inkling Small wins 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 154.7 · Muse Spark 1.1 154.2 · Inkling Small 150.5
  • Lowest priceInkling SmallInkling Small $0.795 · Gemini 3.6 Flash $1.50 · Muse Spark 1.1 $2.00 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameMuse Spark 1.1 1,048,576 · Inkling Small 1,048,576 · Gemini 3.6 Flash 1,048,576 tokens
  • Widest inputsGemini 3.6 FlashMuse Spark 1.1: Text, Images, PDFs, Video · Inkling Small: Text, Images, Audio · Gemini 3.6 Flash: Text, Images, PDFs, Audio, Video
  • Self-hostingInkling SmallPublishes downloadable weights (Apache-2.0)
How the score is built
MeasureWeightMuse Spark 1.1Inkling SmallGemini 3.6 Flash
CapabilityCapabilities Index (ECI)50%827782
Price25%345240
Inputs & features15%9070100
Context window10%616161
Overall100%69/10068/10072/100
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 Inkling Small vs Gemini 3.6 Flash specifications side by side
SpecificationMuse Spark 1.1MetaInkling SmallThinking MachinesGemini 3.6 FlashGoogle
Capability
Capabilities Index (ECI)154.2150.5154.7 (best)
ECI rank#46 of 165#58 of 165#42 of 165 (best)
GPQA DiamondGraduate-level science questions—88.5%94.1% (best)
FrontierMath Tiers 1–3Research-level mathematics—46.3%59.0% (best)
OTIS Mock AIME 2024–2025Competition mathematics—90.0%94.2% (best)
SimpleQA VerifiedShort factual questions57.8%19.1%66.2% (best)
Price per million tokens
Input$1.25$0.58 (best)$0.75
Output$4.25$1.44 (best)$3.75
Cached input$0.15$0.116$0.075 (best)
Blended (3:1)$2.00$0.795 (best)$1.50
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Meta APIOfficial Thinking Machines APIOfficial Google API
Limits
Context window1,048,576 tokens1,048,576 tokens1,048,576 tokens
Max output131,072 tokens1,048,576 tokens (best)65,536 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesNoYes
AudioNoYesYes
VideoYesNoYes
ReasoningYesminimal · low · medium · high · xhighYeslow · medium · high · xhigh · maxYesminimal · low · medium · high
Tool callingYesYesYes
Structured outputYesNoYes
Availability
WeightsProprietaryOpenApache-2.0Proprietary
API model IDmuse-spark-1.1thinkingmachines/Inkling-Smallgemini-3.6-flash
API providers151231 (best)
ReleasedJul 9, 2026Jul 30, 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
  • Inkling Small$8.68
  • Gemini 3.6 Flash$15.00
04 — Questions

Which should you choose?

Which is better: Muse Spark 1.1, Inkling Small or Gemini 3.6 Flash?

Gemini 3.6 Flash is the better all-round choice, scoring 72/100 against Muse Spark 1.1 (69) and Inkling Small (68). It leads on inputs & features. Inkling Small wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Muse Spark 1.1, Inkling Small or Gemini 3.6 Flash?

Inkling Small is cheaper at $0.58 input / $1.44 output per million tokens (official Thinking Machines 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 $0.795 per million tokens for Inkling Small versus $1.50 for Gemini 3.6 Flash (1.9× as much) and $2.00 for Muse Spark 1.1 (2.5× as much).

Which scores higher on benchmarks?

Gemini 3.6 Flash scores higher on the Capabilities Index (ECI): Gemini 3.6 Flash 154.7 (#42 of 165), Muse Spark 1.1 154.2 (#46 of 165) and Inkling Small 150.5 (#58 of 165). The confidence ranges of the top two overlap (153.0–156.7 vs 151.3–156.4), so treat the gap as small. On individual benchmarks: SimpleQA Verified — Gemini 3.6 Flash 66.2%, Muse Spark 1.1 57.8%, Inkling Small 19.1%.

Which is better for coding?

There are no published SWE-bench Verified results for Muse Spark 1.1, Inkling Small 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, Inkling Small and Gemini 3.6 Flash share the same 1,048,576-token context window. Maximum output per response: Muse Spark 1.1 up to 131,072, Inkling Small up to 1,048,576, 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; Inkling Small accepts text, images and audio; 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?

Inkling Small publishes its weights (Apache-2.0) and can be self-hosted; Muse Spark 1.1 and Gemini 3.6 Flash is proprietary.

Which is newer?

Inkling Small is the newest, released Jul 30, 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 Nov 2, 2026.