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mistral-small:24b

OLLAMA GGUF

llama · 23.6B · Q4_K_M

Good

Jun 26, 2026 · Cortex-X925

qwen3.6-35b-a3b-mtp

LM-STUDIO GGUF

qwen35moe · 35B · IQ3_XXS

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score
75 vs 77
Hardware Fit
64 vs 55
Quality Score
80 vs 86

Hardware

mistral-small:24b qwen3.6-35b-a3b-mtp
MachineNVIDIA NVIDIA_DGX_SparkDocker Container
CPUCortex-X925Intel Gen Intel® Core™ i9-11900H
Cores2016
RAM122 GB15 GB
GPUDevice 2e12TigerLake-H GT1 [UHD Graphics]
OSUbuntu 24.04.4 LTSUbuntu 26.04 LTS
Archarm64x64
Power Modeperformanceperformance

Performance

mistral-small:24b qwen3.6-35b-a3b-mtp
Tokens/sec14.39.2
First chunk327 ms38 ms
TTFT327 ms4.7 s
Load time12.0 s46.7 s
Memory usage18.5 GB0.0 GB
Memory %15%0%

HW Fit Score Breakdown

mistral-small:24b

Speed
14/50
TTFT
20/20
Memory
30/30

qwen3.6-35b-a3b-mtp

Speed
16/50
TTFT
9/20
Memory
30/30

Quality

mistral-small:24b

Reasoning
16/20
Coding
18/20
Instruction
14/20
Structured
13/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

qwen3.6-35b-a3b-mtp

Reasoning
16/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View mistral-small:24b details | View qwen3.6-35b-a3b-mtp details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest