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glm-4.7-flash:q4_K_M

OLLAMA GGUF

glm4moelite · 29.9B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

mistral-small:24b

OLLAMA GGUF

llama · 23.6B · Q4_K_M

Good

Jun 26, 2026 · Cortex-X925

Global Score
81 vs 75
Hardware Fit
89 vs 64
Quality Score
77 vs 80

Hardware

glm-4.7-flash:q4_K_M mistral-small:24b
MachineASUSNVIDIA NVIDIA_DGX_Spark
CPUIntel Core™ i5-14600KFCortex-X925
Cores2020
RAM32 GB122 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERDevice 2e12
OSMicrosoft Windows 11 Famille 10.0.26200Ubuntu 24.04.4 LTS
Archx64arm64
Power Modebalancedperformance

Performance

glm-4.7-flash:q4_K_M mistral-small:24b
Tokens/sec35.114.3
First chunk440 ms327 ms
TTFT440 ms327 ms
Load time11.6 s12.0 s
Memory usage18.4 GB18.5 GB
Memory %58%15%

HW Fit Score Breakdown

glm-4.7-flash:q4_K_M

Speed
49/50
TTFT
20/20
Memory
20/30

mistral-small:24b

Speed
14/50
TTFT
20/20
Memory
30/30

Quality

glm-4.7-flash:q4_K_M

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

mistral-small:24b

Reasoning
16/20
Coding
18/20
Instruction
14/20
Structured
13/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View glm-4.7-flash:q4_K_M details | View mistral-small:24b 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