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Phi-4-reasoning-plus

Phi family · 15.0B params

1recorded run
92.3best tok/s
0verified

Evidence: 0 sourced runs · 1 awaiting review · 1 independent source · first recorded Aug 17, 2026. What these labels mean.

What the Phi-4-reasoning-plus numbers mean

The fastest result on our board is 92.3 output tok/s on an RTX 5090 at Q8_0 with a 2048-token context. That is about 10.8 ms per generated token — 500 tokens takes roughly 5.4 seconds. Prompt processing on the same record runs at 7981.6 tok/s, so a 2,000-token prompt is read in about 0.3 seconds.

How much VRAM does Phi-4-reasoning-plus need?

Phi-4-reasoning-plus has 15.0B parameters. These estimates use the same formula as the VRAM calculator: weights, plus about 15% for a moderate-context KV cache and runtime overhead, plus a small engine floor.

QuantisationEstimated VRAMSmallest card that fits
Q4_K_M (4-bit)10.5 GB16 GB
Q8_0 (8-bit)19.1 GB24 GB
FP16 (16-bit)35.3 GB48 GB

Long contexts and large batches raise the real number — read the smallest card as "possible with a reduced context". Measured throughput is on the benchmark board.

Fastest GPUs for this model (best tok/s)
  1. RTX 509092.3

Models with a similar footprint

ModelParamsQ4_K_M weights
DeepSeek-R1-Distill-Qwen-14B15B8.4 GB
Nemotron-Cascade-14B-Thinking15B8.4 GB
phi-415B8.4 GB
Phi-4-reasoning15B8.4 GB
Qwen2.5-Coder-14B-Instruct15B8.4 GB
DeepSeek-Coder-V2-Lite-Instruct16B9.0 GB

Ranked by distance from Phi-4-reasoning-plus's parameter count. Full benchmark board.

All benchmarks Methodology

GPUModelQuantBackendCtx tok/sprompt tok/sVRAM GBSource
RTX 5090 · 32 GBPhi-4-reasoning-plusQ8_0lmstudio —204892.3 …7981.6—src
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