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Comparison · 2 models · Updated Nov 2, 2026

Muse Spark 1.2 vs Gemini 4 Argon

Gemini 4 Argon comes out ahead, 74 to 71 on our weighted score, though Muse Spark 1.2 is 2× cheaper per token.

  1. Meta

    Muse Spark 1.2

    Released Aug 5, 2026

    71/100
    • ECI155.2
    • Price$1.25 / $4.25
    • Context1.05M
    Full specs Remove Muse Spark 1.2
  2. Our pick

    Google

    Gemini 4 Argon

    Released Oct 13, 2026New

    74/100
    • ECI166.1
    • Price$2.00 / $10.00
    • Context1.05M
    Full specs Remove Gemini 4 Argon

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Gemini 4 Argon is our pick

Gemini 4 Argon is the better all-round choice, scoring 74/100 against Muse Spark 1.2 (71). It leads on capability. Muse Spark 1.2 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGemini 4 ArgonCapabilities Index (ECI): Gemini 4 Argon 166.1 · Muse Spark 1.2 155.2
  • Lowest priceMuse Spark 1.2Muse Spark 1.2 $2.00 · Gemini 4 Argon $4.00 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameMuse Spark 1.2 1,048,576 · Gemini 4 Argon 1,048,576 tokens
  • Widest inputsSame inputsMuse Spark 1.2: Text, Images, PDFs, Audio, Video · Gemini 4 Argon: Text, Images, PDFs, Audio, Video
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightMuse Spark 1.2Gemini 4 Argon
CapabilityCapabilities Index (ECI)50%8396
Price25%3420
Inputs & features15%100100
Context window10%6161
Overall100%71/10074/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Muse Spark 1.2 vs Gemini 4 Argon specifications side by side
SpecificationMuse Spark 1.2MetaGemini 4 ArgonGoogle
Capability
Capabilities Index (ECI)155.2166.1 (best)
ECI rank#38 of 165#7 of 165 (best)
GPQA DiamondGraduate-level science questions—96.4%
FrontierMath Tiers 1–3Research-level mathematics—86.0%
OTIS Mock AIME 2024–2025Competition mathematics—100%
SimpleQA VerifiedShort factual questions60.3%76.0% (best)
Price per million tokens
Input$1.25 (best)$2.00
Output$4.25 (best)$10.00
Cached input$0.15$0.10 (best)
Blended (3:1)$2.00 (best)$4.00
Long-context rateSame rateSame rate
Price sourceOfficial Meta APIOfficial Google API
Limits
Context window1,048,576 tokens1,048,576 tokens
Max output131,072 tokens (best)65,536 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsYesYes
AudioYesYes
VideoYesYes
ReasoningYesminimal · low · medium · high · xhighYeslow · medium · high
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryProprietary
API model IDmuse-spark-1.2gemini-4-argon
API providers1824 (best)
ReleasedAug 5, 2026Oct 13, 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 1.2$21.00
  • Gemini 4 Argon$40.00
04 — Questions

Which should you choose?

Which is better: Muse Spark 1.2 or Gemini 4 Argon?

Gemini 4 Argon is the better all-round choice, scoring 74/100 against Muse Spark 1.2 (71). It leads on capability. Muse Spark 1.2 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Muse Spark 1.2 or Gemini 4 Argon?

Muse Spark 1.2 is cheaper at $1.25 input / $4.25 output per million tokens (official Meta API price). Gemini 4 Argon costs $2.00 input / $10.00 output per million tokens (official Google API price). At a typical mix of three input tokens to one output token, that is $2.00 per million tokens for Muse Spark 1.2 versus $4.00 for Gemini 4 Argon (2× as much).

Which scores higher on benchmarks?

Gemini 4 Argon scores higher on the Capabilities Index (ECI): Gemini 4 Argon 166.1 (#7 of 165) and Muse Spark 1.2 155.2 (#38 of 165). Their confidence ranges do not overlap (163.1–170.3 vs 152.9–157.6), so the gap is a real one. On individual benchmarks: SimpleQA Verified — Gemini 4 Argon 76.0%, Muse Spark 1.2 60.3%.

Which is better for coding?

There are no published SWE-bench Verified results for Muse Spark 1.2 and Gemini 4 Argon yet, so there is no like-for-like coding score. On overall capability, Gemini 4 Argon leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

Muse Spark 1.2 and Gemini 4 Argon share the same 1,048,576-token context window. Maximum output per response: Muse Spark 1.2 up to 131,072, Gemini 4 Argon up to 65,536 tokens.

Which can read images, PDFs, audio or video?

Muse Spark 1.2 accepts text, images, PDFs, audio and video; Gemini 4 Argon accepts text, images, PDFs, audio and video. They handle the same number of input types.

Are any of these open source?

No. Muse Spark 1.2 and Gemini 4 Argon are proprietary and only available through APIs and apps.

Which is newer?

Gemini 4 Argon is the newest, released Oct 13, 2026. Muse Spark 1.2 came out Aug 5, 2026. Knowledge cutoff: Gemini 4 Argon 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.

05 — Keep comparing

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