Gemini 3.8 Flash vs Gemini 3.1 Ultra

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
Gemini 3.1 Ultra
Google
AI Mastery Index92.5
LMSYS Arena1480
Technical (MMLU-Pro)92.5%
Cost per 1M Tokens$20

Which should you use?

Gemini 3.8 Flash leads on the composite index by 1 points (93.5 vs 92.5).

Their Arena Elo differs by only 14 points, inside the confidence intervals the public board reports, so human preference does not separate them.

Cost is the sharper difference: Gemini 3.1 Ultra is 26.7x the input price of Gemini 3.8 Flash ($20 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 92.5, a gap of 1 points.
  • Stronger on MMLU-Pro: 93.2% against 92.5%.
  • Cheaper input tokens — $0.75 against $20 per 1M, so Gemini 3.1 Ultra costs 26.7x as much to feed.
  • Better value per point of measured capability: $0.008 per index point against $0.216.

Pick Gemini 3.1 Ultra when

On these measures Gemini 3.1 Ultra 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 · Gemini 3.1 Ultra $0.216 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