Back to leaderboard

Qwen3-Next-80B:80B

OLLAMA GGUF

qwen3next · 79.7B · unknown

Not Rec.

Aug 18, 2026 · Intel Core™ i7-14700F

lfm2.5-thinking:1.2b

OLLAMA GGUF

lfm2 · 1.2B · Q4_K_M

Not Rec.

May 25, 2026 · Apple M4 Pro

Global Score
25 vs 60
Hardware Fit
71 vs 80
Quality Score
5 vs 52

Hardware

Qwen3-Next-80B:80B lfm2.5-thinking:1.2b
MachineHP OMEN 35L VALORANT Limited Edition Gaming Desktop PCMacBook Pro
CPUIntel Core™ i7-14700FApple M4 Pro
Cores2814
RAM128 GB48 GB
GPUNVIDIA GeForce RTX 5080Apple M4 Pro
OSMicrosoft Windows 11 Enterprise 10.0.26200macOS 26.4.1
Archx64arm64
Power Modebalancedbalanced

Performance

Qwen3-Next-80B:80B lfm2.5-thinking:1.2b
Tokens/sec29.1227.0
First chunk815 ms60 ms
TTFT769 ms30.0 s
Load time56.9 s0.7 s
Memory usage61.7 GB2.6 GB
Memory %48%6%

HW Fit Score Breakdown

Qwen3-Next-80B:80B

Speed
29/50
TTFT
17/20
Memory
25/30

lfm2.5-thinking:1.2b

Speed
50/50
TTFT
0/20
Memory
30/30

Quality

Qwen3-Next-80B:80B

Reasoning
0/20
Coding
0/20
Instruction
5/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor

lfm2.5-thinking:1.2b

Reasoning
8/20
Coding
6/20
Instruction
10/20
Structured
7/15
Math
12/15
Multilingual
9/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Weak Math: Strong 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