Gemini 3.8 Flash vs Muse Spark 1.1

Head-to-head technical comparison of intelligence, capabilities, and API pricing.

Gemini 3.8 Flash
Google
AI Mastery Index93.5
LMSYS Arena1494
Technical (MMLU-Pro)93.2%
Cost per 1M Tokens$0.75
Muse Spark 1.1
Meta
AI Mastery Index92.3
LMSYS Arena1492
Technical (MMLU-Pro)91.9%
Cost per 1M Tokens$1.25

Which should you use?

Gemini 3.8 Flash leads on the composite index by 1.2 points (93.5 vs 92.3).

Their Arena Elo differs by only 2 points, inside the confidence intervals the public board reports, so human preference does not separate them.

Cost is the sharper difference: Muse Spark 1.1 is 1.7x the input price of Gemini 3.8 Flash ($1.25 against $0.75 per 1M), so at volume the choice is usually decided by budget rather than benchmarks.

Pick Gemini 3.8 Flash when

  • Higher composite index — 93.5 against 92.3, a gap of 1.2 points.
  • Stronger on MMLU-Pro: 93.2% against 91.9%.
  • Cheaper input tokens — $0.75 against $1.25 per 1M, so Muse Spark 1.1 costs 1.7x as much to feed.
  • Better value per point of measured capability: $0.008 per index point against $0.014.

Pick Muse Spark 1.1 when

On these measures Muse Spark 1.1 does not lead Gemini 3.8 Flash anywhere, so pick it only for reasons outside this table — an existing integration, a region, or a contract.

Value per point of measured capability, at list input pricing: Gemini 3.8 Flash $0.008 · Muse Spark 1.1 $0.014 per index point. Run your own token mix through the token cost calculator — a comparison at list price ignores caching and batch discounts, which move real bills more than this gap does.

Our reporting on Google and Meta