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Comparison · 3 models · Updated Oct 4, 2026

Muse Spark 1.3 vs Muse Glimmer 30B vs Gemini 3.8 Flash

Too close to call on our weighted score (Gemini 3.8 Flash 63, Muse Spark 1.3 60, Muse Glimmer 30B 57). The right pick depends on what you value most.

  1. Meta

    Muse Spark 1.3

    Released Sep 2, 2026

    60/100
    • ECI156.9
    • Price$1.25 / $4.25
    • Context1.05M
  2. Meta

    Muse Glimmer 30B

    Released Aug 10, 2026

    57/100
    • ECI—
    • Price$0.30 / $1.20
    • Context131K
  3. Google

    Gemini 3.8 Flash

    Released Sep 2, 2026

    63/100
    • ECI156.9
    • 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 3.8 Flash 63/100, Muse Spark 1.3 60/100, Muse Glimmer 30B 57/100), so choose by what matters most for your work: Muse Glimmer 30B 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 priceMuse Glimmer 30BMuse Glimmer 30B $0.525 · Gemini 3.8 Flash $1.50 · Muse Spark 1.3 $2.00 per 1M tokens (3:1 blend)
  • Longest contextMuse Spark 1.3 and Gemini 3.8 FlashMuse Spark 1.3 1,048,576 · Gemini 3.8 Flash 1,048,576 · Muse Glimmer 30B 131,072 tokens
  • Widest inputsMuse Spark 1.3 and Gemini 3.8 FlashMuse Spark 1.3: Text, Images, PDFs, Audio, Video · Muse Glimmer 30B: Text, Images · Gemini 3.8 Flash: Text, Images, PDFs, Audio, Video
  • Self-hostingMuse Glimmer 30BPublishes downloadable weights (Apache 2.0)
How the score is built
MeasureWeightMuse Spark 1.3Muse Glimmer 30BGemini 3.8 Flash
Price50%366342
Inputs & features30%10070100
Context window20%612461
Overall100%60/10057/10063/100

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.

Muse Spark 1.3 vs Muse Glimmer 30B vs Gemini 3.8 Flash specifications side by side
SpecificationMuse Spark 1.3MetaMuse Glimmer 30BMetaGemini 3.8 FlashGoogle
Capability
Capabilities Index (ECI)156.9—156.9 (best)
ECI rank#17 of 148—#15 of 148 (best)
GPQA DiamondGraduate-level science questions——95.4%
FrontierMath Tiers 1–3Research-level mathematics74.4% (best)—68.4%
OTIS Mock AIME 2024–2025Competition mathematics99.2% (best)—98.9%
SimpleQA VerifiedShort factual questions——69.7%
Price per million tokens
Input$1.25$0.30 (best)$0.75
Output$4.25$1.20 (best)$3.75
Cached input$0.15—$0.075 (best)
Blended (3:1)$2.00$0.525 (best)$1.50
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Meta APIMedian of 10 providersOfficial Google API
Limits
Context window1,048,576 tokens (best)131,072 tokens1,048,576 tokens (best)
Max output131,072 tokens (best)131,072 tokens (best)65,536 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesNoYes
AudioYesNoYes
VideoYesNoYes
ReasoningYesminimal · low · medium · high · xhigh · maxYesYeslow · medium · high
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryOpenApache 2.0Proprietary
API model IDmuse-spark-1.3—gemini-3.8-flash
API providers121221 (best)
ReleasedSep 2, 2026Aug 10, 2026Sep 2, 2026
Knowledge cutoff—Jan 4, 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 1.3$21.00
  • Muse Glimmer 30B$5.40
  • Gemini 3.8 Flash$15.00
04 — Questions

Which should you choose?

Which is better: Muse Spark 1.3, Muse Glimmer 30B or Gemini 3.8 Flash?

It is close. Our weighted score puts them within 3 points (Gemini 3.8 Flash 63/100, Muse Spark 1.3 60/100, Muse Glimmer 30B 57/100), so choose by what matters most for your work: Muse Glimmer 30B 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, Muse Spark 1.3, Muse Glimmer 30B or Gemini 3.8 Flash?

Muse Glimmer 30B is cheaper at $0.30 input / $1.20 output per million tokens (median across 10 API providers). Gemini 3.8 Flash costs $0.75 input / $3.75 output per million tokens (official Google API price); Muse Spark 1.3 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 Muse Glimmer 30B versus $1.50 for Gemini 3.8 Flash (2.9× as much) and $2.00 for Muse Spark 1.3 (3.8× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Muse Spark 1.3 has an ECI of 156.9, Muse Glimmer 30B has not been scored yet and Gemini 3.8 Flash has an ECI of 156.9.

Which is better for coding?

There are no published SWE-bench Verified results for Muse Spark 1.3, Muse Glimmer 30B and Gemini 3.8 Flash 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?

Muse Spark 1.3 and Gemini 3.8 Flash have the largest context windows (1,048,576 and 1,048,576 tokens), against 131,072 for Muse Glimmer 30B. Maximum output per response: Muse Spark 1.3 up to 131,072, Muse Glimmer 30B up to 131,072, Gemini 3.8 Flash up to 65,536 tokens.

Which can read images, PDFs, audio or video?

Muse Spark 1.3 accepts text, images, PDFs, audio and video; Muse Glimmer 30B accepts text and images; Gemini 3.8 Flash accepts text, images, PDFs, audio and video. Muse Spark 1.3 handles the widest range of inputs.

Are any of these open source?

Muse Glimmer 30B publishes its weights (Apache 2.0) and can be self-hosted; Muse Spark 1.3 and Gemini 3.8 Flash is proprietary.

Which is newer?

Muse Spark 1.3 is the newest, released Sep 2, 2026. Gemini 3.8 Flash came out Sep 2, 2026; Muse Glimmer 30B came out Aug 10, 2026. Knowledge cutoff: Muse Glimmer 30B Jan 4, 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.