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Kimi-48B:48B

OLLAMA GGUF

kimi-linear · 49.1B · unknown

Excellent

Aug 19, 2026 · Intel Core™ i7-14700F

google/gemma-3-4b

LM-STUDIO MLX

gemma3 · 4B · 4bit

Good

Mar 3, 2026 · Apple M4

Global Score
85 vs 76
Hardware Fit
83 vs 100
Quality Score
86 vs 66

Hardware

Kimi-48B:48B google/gemma-3-4b
MachineHP OMEN 35L VALORANT Limited Edition Gaming Desktop PCMacBook Air
CPUIntel Core™ i7-14700FApple M4
Cores2810
RAM64 GB32 GB
GPUNVIDIA GeForce RTX 5080Apple M4
OSMicrosoft Windows 11 Enterprise 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

Kimi-48B:48B google/gemma-3-4b
Tokens/sec32.839.4
First chunk724 ms468 ms
TTFT724 ms468 ms
Load time20.9 sN/A
Memory usage25.8 GB2.8 GB
Memory %41%9%

HW Fit Score Breakdown

Kimi-48B:48B

Speed
36/50
TTFT
20/20
Memory
27/30

google/gemma-3-4b

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

Quality

Kimi-48B:48B

Reasoning
16/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

google/gemma-3-4b

Reasoning
10/20
Coding
17/20
Instruction
13/20
Structured
12/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

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