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Qwen3-80B:80B

OLLAMA GGUF

qwen3next · 79.7B · Q4_K_M

Excellent

Aug 22, 2026 · NVIDIA RTX Spark N1X (6144-core GPU, 20-core ) RTX Spark N1X (6144-core GPU, 20-core )

codegemma:7b

OLLAMA GGUF

gemma · 9B · Q4_0

Good

Mar 1, 2026 · Apple M4

Global Score
87 vs 71
Hardware Fit
76 vs 91
Quality Score
91 vs 62

Hardware

Qwen3-80B:80B codegemma:7b
MachineHP HyperX OMEN Transcend Gaming Laptop 14-ga0xxx5CD612DXMLMacBook Air
CPUNVIDIA RTX Spark N1X (6144-core GPU, 20-core ) RTX Spark N1X (6144-core GPU, 20-core )Apple M4
Cores2010
RAM55 GB32 GB
GPUNVIDIA RTX Spark N1X (6144-core Blackwell RTX GPU), NVIDIA NPUApple M4
OSMicrosoft Windows 11 Pro 10.0.28000macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

Qwen3-80B:80B codegemma:7b
Tokens/sec43.618.7
First chunk409 msN/A
TTFT409 ms320 ms
Load time80.3 s0.8 s
Memory usage48.0 GB8.7 GB
Memory %88%27%

HW Fit Score Breakdown

Qwen3-80B:80B

Speed
50/50
TTFT
20/20
Memory
6/30

codegemma:7b

Speed
31/50
TTFT
30/20
Memory
30/30

Quality

Qwen3-80B:80B

Reasoning
18/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

codegemma:7b

Reasoning
1/20
Coding
14/20
Instruction
13/20
Structured
15/15
Math
10/15
Multilingual
9/10
Reasoning: Poor Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View Qwen3-80B:80B details | View codegemma:7b 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