Mistral AI
Ministral-3-14B-Reasoning-2512
Performancebenchmark · gemessen am 21.07.2026 16:55
Benchmark-ID
run-20260722-165909-3c0139Timebench 3 - Kombi (Prefill + Generation)Dense14BRuntime: godclawQuantisierung: Q4_K_M
Generation51,00tok/s
Prefill3.204,99tok/s
Time to First Token716,00ms
Gesamtdauer41,59s
Concurrency1parallel
Einordnung im Feld
38von 135 Systemen
Performancebenchmark · Leitmetrik: Generation-Speed (tok/s)
Dieser Lauf ist besser als 72 % aller vergleichbaren Systeme.
Generation
51,0 tok/s
+20 % vs Ø 42,5
Prefill
3.205,0 tok/s
+11 % vs Ø 2.885,5
Time to First Token
716 ms
-58 % vs Ø 1.685
Verteilung im Feld2 – 148 tok/s
Wie schlägt sich dieser Benchmark?
gpt-oss-20b3× AMD Radeon AI PRO R9700 · run-20260722-165909-85f64f
147,8 tok/s
gpt-oss-20b3× AMD Radeon AI PRO R9700 · run-20260722-165909-637af7
143,9 tok/s
gpt-oss-20b3× AMD Radeon AI PRO R9700 · run-20260722-165909-65d35f
137,7 tok/s
Nemotron-Cascade-2-30B-A3B3× AMD Radeon AI PRO R9700 · run-20260722-181156-a273f2
107,9 tok/s
Nemotron-3-Nano-Omni-30B-A3B-Reasoning3× AMD Radeon AI PRO R9700 · run-20260722-182228-95c528
102,9 tok/s
gpt-oss-120b3× AMD Radeon AI PRO R9700 · run-20260722-165909-4e3ede
99,8 tok/s
Qwen3-30B-A3B-Instruct-25073× AMD Radeon AI PRO R9700 · run-20260722-165907-cc8f3f
97,6 tok/s
NVIDIA-Nemotron-3-Nano-4B3× AMD Radeon AI PRO R9700 · run-20260722-190202-45dc8e
93,4 tok/s
Qwen3-30B-A3B-Thinking-25073× AMD Radeon AI PRO R9700 · run-20260722-165908-5712c8
91,4 tok/s
Qwen3-30B-A3B-Instruct-25073× AMD Radeon AI PRO R9700 · run-20260722-165907-b20fe5
91,0 tok/s
Qwen3-VL-30B-A3B-Instruct3× AMD Radeon AI PRO R9700 · run-20260722-165908-4d91c3
89,8 tok/s
Qwen3-30B-A3B-Thinking-25073× AMD Radeon AI PRO R9700 · run-20260722-165908-40e052
88,6 tok/s
Qwen3-Coder-30B-A3B-Instruct3× AMD Radeon AI PRO R9700 · run-20260722-165907-0a4b43
88,2 tok/s
Qwen3-30B-A3B-Thinking-25073× AMD Radeon AI PRO R9700 · run-20260722-165907-83951d
87,8 tok/s
Ministral-3-14B-Reasoning-2512 dieser Lauf3× AMD Radeon AI PRO R9700 · run-20260722-165909-3c0139
51,0 tok/s
Hardware
GPU: 3x AMD Radeon AI PRO R9700 · 32 GB VRAM
CPU: 32x AMD Ryzen Threadripper PRO 7955WX 16-Cores
RAM: 184 GB
Setup
Runtime: godclaw
Quantisierung: Q4_K_M
Modell: Ministral-3-14B-Reasoning-2512
Konfiguration
# LLM-Benchmark Konfiguration
# Modell : Ministral-3-14B-Reasoning-2512
# Engine : llama.cpp
# Run-ID : run-20260722-165909-3c0139
# GPU : 3x AMD Radeon AI PRO R9700
# CPU : 32x AMD Ryzen Threadripper PRO 7955WX 16-Cores
# RAM : 184 GB
bench@llm-benchmark:~$ /src/build/bin/llama-server \
-m /root/.cache/huggingface/hub/models--unsloth--Ministral-3-14B-Reasoning-2512-GGUF/snapshots/2d687ca0523d4d87469835433b53642dfae83152/Ministral-3-14B-Reasoning-2512-Q4_K_M.gguf \
-ngl 999 \
-c 8192 \
-a Ministral-3-14B-Reasoning-2512 \
-sm layer \
--host 0.0.0.0 \
--port 8000
| Engine | llamacpp |
| Modellalias | Ministral-3-14B-Reasoning-2512 |
| Kontextlaenge | 8192 |
| Modellpfad | /root/.cache/huggingface/hub/models--unsloth--Ministral-3-14B-Reasoning-2512-GGUF/snapshots/2d687ca0523d4d87469835433b53642dfae83152/Ministral-3-14B-Reasoning-2512-Q4_K_M.gguf |
| GPU-Layer | 999 |
| Kontext | 8192 |
| Alias | Ministral-3-14B-Reasoning-2512 |
| Split-Mode | layer |