modelgrep

Small & Fast Microsoft Models

Quick answer · Updated June 2026

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.

79 t/sSpeed
10.4Intelligence
$0.065Input /M
16KContext

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.

  1. 1M
    phi-4
    JSON10.4 intel · $0.065/M · 138ms ttft
    79 t/s
    Speed
  2. 2M
    phi-4-mini-instruct
    JSON8.4 intel · $0.080/M · 483ms ttft
    7 t/s
    Speed

Frequently asked

What is the smallest, fastest Microsoft model?

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.

What's a good alternative to Phi 4?

Phi 4 Mini Instruct (7 t/s) is the closest alternative on this metric. See the full ranking above for the tradeoffs.

How many Microsoft models are there?

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.

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