qwen3.5:35b-a3b-q4_K_M

qwen35moe · 36.0B · 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 38% Compare

Global Score

79 /100

Good

Hardware Fit

62/100

Quality

86/100

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ollama.com/library/qwen3.5

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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: 16.4
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.1
First chunk latency Delay before the first streamed chunk arrives from runtime: 787 ms
Time to first token How fast the model starts responding — lower is better: 787 ms
Load time Time to load the model into memory before inference: 19.3 s
Memory usage RAM consumed during inference — percentage of total system memory: 21.8 GB (17%)
Total tokens Total number of tokens generated across all benchmark prompts: 1069

Score breakdown

Speed

15/50

Time to first token

17/20

Memory

30/30

Quality

Reasoning

17/20

Coding

17/20

Instruction following

16/20

Structured output

15/15

Math

11/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.32.5
Model format: GGUF
Hardware profile: HIGH-END
Result hash: e64e31a515db85a63af4abb076ec44cc35b1922f6066733bfa08b92cceccd856

Interpretation

Hardware fit: 62/100. Overall suitability: GOOD (Global 79/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

Power: AC CPU load: avg 46% (peak 52%)

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