GPT-6 Astra vs Gemini 3.8 Flash

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
Gemini 3.8 Flash
Google
AI Mastery Index93.5
LMSYS Arena1494
Technical (MMLU-Pro)93.2%
Cost per 1M Tokens$0.75

Which should you use?

GPT-6 Astra leads on the composite index by 3.2 points (96.7 vs 93.5).

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: GPT-6 Astra is 13.3x the input price of Gemini 3.8 Flash ($10 against $0.75 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 93.5, a gap of 3.2 points.
  • Stronger on MMLU-Pro: 95.8% against 93.2%.

Pick Gemini 3.8 Flash when

  • Cheaper input tokens — $0.75 against $10 per 1M, so GPT-6 Astra costs 13.3x as much to feed.
  • Better value per point of measured capability: $0.008 per index point against $0.103.

Value per point of measured capability, at list input pricing: Gemini 3.8 Flash $0.008 · 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 Google