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Comparison · 3 models · Updated Oct 4, 2026

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

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. Google

    Gemini 3.8 Flash

    Released Sep 2, 2026

    63/100
    • ECI156.9
    • Price$0.75 / $3.75
    • Context1.05M
  2. Meta

    Muse Glimmer 30B

    Released Aug 10, 2026

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

    Muse Spark 1.3

    Released Sep 2, 2026

    60/100
    • ECI156.9
    • Price$1.25 / $4.25
    • 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 contextGemini 3.8 Flash and Muse Spark 1.3Gemini 3.8 Flash 1,048,576 · Muse Spark 1.3 1,048,576 · Muse Glimmer 30B 131,072 tokens
  • Widest inputsGemini 3.8 Flash and Muse Spark 1.3Gemini 3.8 Flash: Text, Images, PDFs, Audio, Video · Muse Glimmer 30B: Text, Images · Muse Spark 1.3: Text, Images, PDFs, Audio, Video
  • Self-hostingMuse Glimmer 30BPublishes downloadable weights (Apache 2.0)
How the score is built
MeasureWeightGemini 3.8 FlashMuse Glimmer 30BMuse Spark 1.3
Price50%426336
Inputs & features30%10070100
Context window20%612461
Overall100%63/10057/10060/100

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 3.8 Flash vs Muse Glimmer 30B vs Muse Spark 1.3 specifications side by side
SpecificationGemini 3.8 FlashGoogleMuse Glimmer 30BMetaMuse Spark 1.3Meta
Capability
Capabilities Index (ECI)156.9 (best)—156.9
ECI rank#15 of 148 (best)—#17 of 148
GPQA DiamondGraduate-level science questions95.4%——
FrontierMath Tiers 1–3Research-level mathematics68.4%—74.4% (best)
OTIS Mock AIME 2024–2025Competition mathematics98.9%—99.2% (best)
SimpleQA VerifiedShort factual questions69.7%——
Price per million tokens
Input$0.75$0.30 (best)$1.25
Output$3.75$1.20 (best)$4.25
Cached input$0.075 (best)—$0.15
Blended (3:1)$1.50$0.525 (best)$2.00
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Google APIMedian of 10 providersOfficial Meta API
Limits
Context window1,048,576 tokens (best)131,072 tokens1,048,576 tokens (best)
Max output65,536 tokens131,072 tokens (best)131,072 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesNoYes
AudioYesNoYes
VideoYesNoYes
ReasoningYeslow · medium · highYesYesminimal · low · medium · high · xhigh · max
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryOpenApache 2.0Proprietary
API model IDgemini-3.8-flash—muse-spark-1.3
API providers21 (best)1212
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.

  • Gemini 3.8 Flash$15.00
  • Muse Glimmer 30B$5.40
  • Muse Spark 1.3$21.00
04 — Questions

Which should you choose?

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

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, Gemini 3.8 Flash, Muse Glimmer 30B or Muse Spark 1.3?

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. Gemini 3.8 Flash has an ECI of 156.9, Muse Glimmer 30B has not been scored yet and Muse Spark 1.3 has an ECI of 156.9.

Which is better for coding?

There are no published SWE-bench Verified results for Gemini 3.8 Flash, Muse Glimmer 30B and Muse Spark 1.3 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 3.8 Flash and Muse Spark 1.3 have the largest context windows (1,048,576 and 1,048,576 tokens), against 131,072 for Muse Glimmer 30B. Maximum output per response: Gemini 3.8 Flash up to 65,536, Muse Glimmer 30B up to 131,072, Muse Spark 1.3 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Gemini 3.8 Flash accepts text, images, PDFs, audio and video; Muse Glimmer 30B accepts text and images; Muse Spark 1.3 accepts text, images, PDFs, audio and video. Gemini 3.8 Flash 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; Gemini 3.8 Flash and Muse Spark 1.3 is proprietary.

Which is newer?

Gemini 3.8 Flash is the newest, released Sep 2, 2026. Muse Spark 1.3 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.