qwen2-57b:57B

OLLAMA GGUF

qwen2moe · 57.4B · Q4_K_M

Good

Aug 18, 2026 · Intel Core™ i7-14700F

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

Global Score

69 vs 89

Hardware Fit

51 vs 95

Quality Score

76 vs 87

Hardware

qwen2-57b:57B qwen/qwen3-8b

MachineHP OMEN 35L VALORANT Limited Edition Gaming Desktop PCMac mini

CPUIntel Core™ i7-14700FApple M4 Pro

Cores2814

RAM64 GB64 GB

GPUNVIDIA GeForce RTX 5080Apple M4 Pro

OSMicrosoft Windows 11 Enterprise 10.0.26200macOS 15.7.4

Archx64arm64

Power Modebalancedbalanced

Performance

qwen2-57b:57B qwen/qwen3-8b

Tokens/sec7.733.4

First chunk940 ms257 ms

TTFT940 ms257 ms

Load time0.2 sN/A

Memory usage33.3 GB4.3 GB

Memory %52%7%

HW Fit Score Breakdown

qwen2-57b:57B

Speed

8/50

TTFT

19/20

Memory

24/30

qwen/qwen3-8b

Speed

45/50

TTFT

20/20

Memory

30/30

Quality

qwen2-57b:57B

Reasoning

14/20

Coding

15/20

Instruction

14/20

Structured

15/15

Math

8/15

Multilingual

10/10

Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

qwen/qwen3-8b

Reasoning

19/20

Coding

14/20

Instruction

16/20

Structured

15/15

Math

13/15

Multilingual

10/10

Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

View qwen2-57b:57B details | View qwen/qwen3-8b 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