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qwen3.5-0.8b

LM-STUDIO GGUF

qwen35 · 0.8B · Q4_K_M

Marginal

Mar 6, 2026 · Intel Core™ i5-5300U

mistral-small:24b

OLLAMA GGUF

llama · 23.6B · Q4_K_M

Good

Jun 26, 2026 · Cortex-X925

Global Score
48 vs 75
Hardware Fit
61 vs 64
Quality Score
42 vs 80

Hardware

qwen3.5-0.8b mistral-small:24b
MachineLENOVO 20BUS00700NVIDIA NVIDIA_DGX_Spark
CPUIntel Core™ i5-5300UCortex-X925
Cores420
RAM16 GB122 GB
GPUIntel(R) HD Graphics 5500Device 2e12
OSMicrosoft Windows 10 Professionnel 10.0.19045Ubuntu 24.04.4 LTS
Archx64arm64
Power Modebalancedperformance

Performance

qwen3.5-0.8b mistral-small:24b
Tokens/sec6.214.3
First chunk4461 ms327 ms
TTFT4.5 s327 ms
Load timeN/A12.0 s
Memory usage0.7 GB18.5 GB
Memory %4%15%

HW Fit Score Breakdown

qwen3.5-0.8b

Speed
22/50
TTFT
12/20
Memory
27/30

mistral-small:24b

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

Quality

qwen3.5-0.8b

Reasoning
10/20
Coding
2/20
Instruction
10/20
Structured
12/15
Math
2/15
Multilingual
6/10
Reasoning: Adequate Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate

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
View qwen3.5-0.8b details | View mistral-small:24b 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