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Pyyan / Compare / Muse Spark 1.3 vs Gemini 4 Argon

Muse Spark 1.3 vs Gemini 4 Argon

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Language Models · verified 20 Oct 2026

Muse Spark 1.3Metacurrent
Gemini 4 ArgonGooglecurrent
3 slots left
SpecificationMuse Spark 1.3Gemini 4 Argon
SummaryA quarter fewer tokens than 1.2 for the same work, which is the figure on the bill.First on one independent board, fifth on another, and cheap until December.
Context1M1M
Input ($/Mtok)$1.25$2
Output ($/Mtok)$4.25$10
LicenceProprietaryProprietary
Max outputNot published262K
ParametersNot publishedNot published
Released2 Sep 202630 Sep 2026, GA 13 Oct
Model IDmuse-spark-1.3gemini-4-argon
CategoryLanguage ModelsLanguage Models
Official—Google ↗

Highlighted rows are where these differ.

Muse Spark 1.3

  • About 20% fewer tool calls and 25% fewer tokens than 1.2 to reach the same result
  • 75.4 on DeepSWE v1.1 and 98.5 on MRCR long context between 256K and 512K
  • A Contributor tier costs $0.10 in and $0.20 out for the same model, in exchange for letting Meta train on your prompts

Best for long running agentic coding.

Full spec sheet →

Gemini 4 Argon

  • The price doubles to $4 and $20 on 1 December, and cached input is discounted 95%
  • First of 41 on the Vals Index at 68.90%, but 52.6 on Artificial Analysis against 57.6 for Opus 5.5
  • 77.9 on DeepSWE v1.1 in Google's table, and 55.0 on FrontierSWE v2 where GPT-6 Astra scores 65.5

Best for frontier work while the introductory rate lasts.

Full spec sheet →