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Kimi-K3 · Q5_K_M

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NVIDIA RTX 309024GBOllama v0.49L2 Cross-framework verified

This page aggregates 1 real-world runs of Kimi-K3 (Q5_K_M) on NVIDIA RTX 3090 with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

54.04 tok/s

Decode

Decode speed

184.49 tok/s

Prefill

Prefill speed

0.99 s

TTFT

Time to first token

1.05 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. llama.cpp · Q4_K_M Decode 61.22 · Prefill 289.69 ·
  2. Ollama · Q5_K_M (current)Decode 54.04 · Prefill 184.49 ·

Core figures

Decode (avg)
54.04 tok/s
Prefill (avg)
184.49 tok/s
TTFT (avg)
0.99 s
VRAM (avg)
1.05 GB
MTP acceptance rate
—
TTFB
0.43 GB
Power draw
295.3 W

Configuration

Member-level fields are taken from the most recent run

Model
Kimi-K3
Quantization
Q5_K_M
Framework
Ollama
Version
v0.49
Context length
4096 tokens
Batch size
256
GPU layers
33
Flash Attention
On

Hardware

Nominal and measured figures are shown side by side; whether it runs is the reader's call

GPU
NVIDIA RTX 3090
Nominal VRAM
24 GB
Measured VRAM (avg)
1.05 GB
OS
Windows 11 24H2
Driver
572.83
CUDA
12.6
Power draw
295.3 W

Sources & evidence

1 measured records in total, each traceable to its original source

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-18

    v0.49 · Windows 11 24H2 · CUDA 12.6 · 4096 ctx

    54.04 tok/s

    Decode

    184.49 tok/s

    Prefill

    0.99 s

    TTFT

    1.05 GB

    VRAM

    —

    MTP

    295.3 W

    Power draw

    L2 batch seed 2026-10-18: Ollama on hw_id=2 running model_id=73 at Q5_K_M