Back to leaderboard

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Good

Mar 5, 2026 · Intel Gen Intel® Core™ i7-13700K

mistral-nemo:12b

OLLAMA GGUF

llama · 12.2B · Q4_0

Good

Mar 1, 2026 · Apple M4

Global Score
77 vs 71
Hardware Fit
75 vs 86
Quality Score
78 vs 65

Hardware

qwen3.5:9b mistral-nemo:12b
MachineASUSMacBook Air
CPUIntel Gen Intel® Core™ i7-13700KApple M4
Cores2410
RAM64 GB32 GB
GPUNVIDIA GeForce RTX 3070Apple M4
OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.3
Archx64arm64
Power Modeunknownbalanced

Performance

qwen3.5:9b mistral-nemo:12b
Tokens/sec30.514.6
First chunk291 msN/A
TTFT291 ms371 ms
Load time4.8 s1.0 s
Memory usage8.8 GB13.3 GB
Memory %14%42%

HW Fit Score Breakdown

qwen3.5:9b

Speed
34/50
TTFT
20/20
Memory
21/30

mistral-nemo:12b

Speed
26/50
TTFT
30/20
Memory
30/30

Quality

qwen3.5:9b

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

mistral-nemo:12b

Reasoning
12/20
Coding
13/20
Instruction
11/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
View qwen3.5:9b details | View mistral-nemo:12b 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