GPT-6 Astra vs Muse Spark 1.1

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

GPT-6 Astra
OpenAI
AI Mastery Index96.7
LMSYS Arena1496
Technical (MMLU-Pro)95.8%
Cost per 1M Tokens$10
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?

GPT-6 Astra leads on the composite index by 4.4 points (96.7 vs 92.3).

Their Arena Elo differs by only 4 points, inside the confidence intervals the public board reports, so human preference does not separate them.

Cost is the sharper difference: GPT-6 Astra is 8x the input price of Muse Spark 1.1 ($10 against $1.25 per 1M), so at volume the choice is usually decided by budget rather than benchmarks.

Pick GPT-6 Astra when

  • Higher composite index — 96.7 against 92.3, a gap of 4.4 points.
  • Stronger on MMLU-Pro: 95.8% against 91.9%.

Pick Muse Spark 1.1 when

  • Cheaper input tokens — $1.25 against $10 per 1M, so GPT-6 Astra costs 8x as much to feed.
  • Better value per point of measured capability: $0.014 per index point against $0.103.

Value per point of measured capability, at list input pricing: Muse Spark 1.1 $0.014 · GPT-6 Astra $0.103 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 OpenAI and Meta