The small, fast Microsoft model is Phi 4 — the efficient tier at 79 tokens/sec and $0.065 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. Phi 4 Mini Instruct (7 t/s) is next.
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 Microsoft model is Phi 4 — the efficient tier at 79 tokens/sec and $0.065 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. Phi 4 Mini Instruct (7 t/s) is next.
Phi 4 Mini Instruct (7 t/s) is the closest alternative on this metric. See the full ranking above for the tradeoffs.
modelgrep tracks 3 Microsoft models with live benchmarks, speed, latency and per-provider pricing, led on intelligence by Phi 4. 2 of them qualify for this ranking.