Gemini 4 Argon or Muse Spark 1.3: which to choose?

The match-up at a glance

Gemini 4 Argon and Muse Spark 1.3 are the flagship models of two major developers, one from Google DeepMind, the other from Meta. Gemini 4 Argon was released on October 13, 2026, Muse Spark 1.3 on September 2, 2026.

All figures below come from public sources checked on October 22, 2026: models.dev and OpenRouter for prices and capabilities, Epoch AI for scores.

What the benchmarks say

On our capability index, Gemini 4 Argon scores 95.3 out of 100 and Muse Spark 1.3 82.7. Gemini 4 Argon leads by 12.6 points.

On the 3 benchmarks reported for both, Gemini 4 Argon wins 3 times and Muse Spark 1.3 0:

• OTIS Mock AIME (competition mathematics problems): Gemini 4 Argon 100%, Muse Spark 1.3 99.2%
• FrontierMath (very hard research-level mathematics): Gemini 4 Argon 86%, Muse Spark 1.3 74.4%
• APEX-Agents (professional tasks carried out by an agent): Gemini 4 Argon 82.4%, Muse Spark 1.3 58.6%

Pricing

Gemini 4 Argon costs $2 per million input tokens and $10 per million output tokens; Muse Spark 1.3 costs $0.10 and $0.20.

For a typical agent task (read 20,000 tokens, write 2,000), expect $0.06 with Gemini 4 Argon versus $0.002 with Muse Spark 1.3. Muse Spark 1.3 is 25 times cheaper, a gap that adds up quickly over 1,000 tasks: $57.6 difference.

Run the numbers with your own volumes in the agent cost calculator.

Features and limits

Both models have the same context window: 1,048,576 tokens, roughly 1,573 pages.

Reasoning mode: Gemini 4 Argon yes, Muse Spark 1.3 yes. Tool calling: Gemini 4 Argon yes, Muse Spark 1.3 yes. Image input: Gemini 4 Argon yes, Muse Spark 1.3 yes.

Neither publishes its weights: both are used through an API.

In short

Our reading of the data:

• Choose Gemini 4 Argon for a higher capability index.
• Choose Muse Spark 1.3 for a lower cost.

This verdict relies on public figures; it does not replace a trial on your own tasks.