GPT-5.6 Sol vs Gemini 3.8 Flash

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

GPT-5.6 Sol
OpenAI
AI Mastery Index95.7
LMSYS Arena1483
Technical (MMLU-Pro)95.1%
Cost per 1M Tokens$4
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-5.6 Sol leads on the composite index by 2.2 points (95.7 vs 93.5).

Their Arena Elo differs by only 11 points, inside the confidence intervals the public board reports, so human preference does not separate them.

Cost is the sharper difference: GPT-5.6 Sol is 5.3x the input price of Gemini 3.8 Flash ($4 against $0.75 per 1M), so at volume the choice is usually decided by budget rather than benchmarks.

Pick GPT-5.6 Sol when

  • Higher composite index — 95.7 against 93.5, a gap of 2.2 points.
  • Stronger on MMLU-Pro: 95.1% against 93.2%.

Pick Gemini 3.8 Flash when

  • Cheaper input tokens — $0.75 against $4 per 1M, so GPT-5.6 Sol costs 5.3x as much to feed.
  • Better value per point of measured capability: $0.008 per index point against $0.042.

Value per point of measured capability, at list input pricing: Gemini 3.8 Flash $0.008 · GPT-5.6 Sol $0.042 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