qwen3:30b-a3b-instruct-2507-q4_K_M

qwen3moe · 30.5B · Q4_K_M

Micro-Star International Co., Ltd. MS-7D98 (Intel Core™ i9-14900K)

128 GB · Microsoft Windows 11 Pro 10.0.26200

Tested on July 31, 2026 · Submitted by CsabaOrca

Top 25% Compare

Global Score

83 /100

Excellent

Hardware Fit

70/100

Quality

89/100

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GGUF versions & quantizations

Hardware

Machine: Micro-Star International Co., Ltd. MS-7D98
CPU: Intel Core™ i9-14900K
Cores: 32 total (32 perf)
Frequency: 3.2 GHz
RAM: 128 GB DDR5
GPU: Intel(R) UHD Graphics 770, NVIDIA Quadro K4000
OS: Microsoft Windows 11 Pro 10.0.26200
Arch: x64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 21.0
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.3
First chunk latency Delay before the first streamed chunk arrives from runtime: 473 ms
Time to first token How fast the model starts responding — lower is better: 473 ms
Load time Time to load the model into memory before inference: 8.6 s
Memory usage RAM consumed during inference — percentage of total system memory: 17.7 GB (14%)
Total tokens Total number of tokens generated across all benchmark prompts: 963

Score breakdown

Speed

20/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

17/20

Coding

19/20

Instruction following

15/20

Structured output

15/15

Math

13/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.32.5
Model format: GGUF
Hardware profile: HIGH-END
Result hash: e0d4fcb4e9c9c556cd15e9b93459fd7cbfc604b59eeaafe98389b6e7897b0324

Interpretation

Hardware fit: 70/100. Overall suitability: EXCELLENT (Global 83/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Bench Environment

Power: AC CPU load: avg 46% (peak 51%)

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