The small, fast Google model is Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) — the efficient tier at 381 tokens/sec and $0.250 per million input tokens. It trades a few points of raw intelligence for speed and cost, the right call for high-volume, latency-sensitive work. Gemini 3.1 Flash Lite Preview (337 t/s) and Nano Banana (Gemini 2.5 Flash Image) (183 t/s) round out the top three.
Compact, efficient models — the small/mini/flash/haiku tier — ranked by output speed. These trade a little raw intelligence for low cost and high throughput, which is the right tradeoff for chat, classification, extraction and other high-volume work.
The small, fast Google model is Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) — the efficient tier at 381 tokens/sec and $0.250 per million input tokens. It trades a few points of raw intelligence for speed and cost, the right call for high-volume, latency-sensitive work. Gemini 3.1 Flash Lite Preview (337 t/s) and Nano Banana (Gemini 2.5 Flash Image) (183 t/s) round out the top three.
Gemini 3.1 Flash Lite Preview (337 t/s) is the closest alternative on this metric, followed by Nano Banana (Gemini 2.5 Flash Image) (183 t/s). See the full ranking above for the tradeoffs.
modelgrep tracks 30 Google models with live benchmarks, speed, latency and per-provider pricing, led on intelligence by Gemini 3.5 Flash. 8 of them qualify for this ranking.