Fastest
gemma4:e2b
4.6B
158.5 tok/s
Highest token generation speed at 158.5 tok/s.
Hardware Benchmarks
Best Local LLM Performance for RTX 3500 Ada Generation Laptop
Compare RTX 3500 Ada Generation Laptop benchmark results and see which models actually earn the best completed quality scores.
Hardware Overview
GPU-specific specifications for local LLM planning.
- VRAM
- 12GB
Recommended Models
Models we recommend for RTX 3500 Ada Generation Laptop.
Best quality & Largest context
gemma4:31b
30.7B
4.6 tok/sQuality 78.5Context 32,768 tokens
Highest completed quality score at 78.5. Largest context that fits in 12GB VRAM, at 32,768 tokens.
Models on the RTX 3500 Ada Generation Laptop
Every model the community ran on this hardware. Up is better answers, right is faster. Time to finish counts every token the model wrote, thinking included, so a model that talks a lot ends up further left.
Best trade-off: quality 60+, and nothing else here is both faster and betterOther models · dot size = number of runs
Medians over 62 fully rated runs of 7 models. Each quantization is its own model.
Frequently asked questions
Which models actually run best on the RTX 3500 Ada Generation Laptop, by task, from community benchmark data.
- What is the best local model for coding on the RTX 3500 Ada Generation Laptop?
- On the RTX 3500 Ada Generation Laptop, gemma4:31b ranks first for coding in our benchmarks (67.5/100 at ~4.5 tok/s).
- What is the best local model for agentic workflows on the RTX 3500 Ada Generation Laptop?
- On the RTX 3500 Ada Generation Laptop, gemma4:12b ranks first for agentic workflows in our benchmarks (82.5/100 at ~48.6 tok/s). gemma4:e4b is faster (~98.5 tok/s) and still scores well (80.9/100) — a good pick if you'd rather trade a little quality for speed.
Benchmark Results
Completed quality-ranked benchmark results for NVIDIA RTX 3500 Ada Generation Laptop GPU.