NVIDIA RTX 2000 Ada Generation Laptop GPU
Best local LLMs for the NVIDIA RTX 2000 Ada Generation Laptop GPU
Each list assumes the context length that task usually needs, so a model that fits for chat may drop down the list for long documents.
General chat at 8K context
- 90 ptsExcellent (S) · 90 of 100 points: Model quality 31.6/45, Memory fit 25.0/25, Speed 14.1/15, Memory use 15.0/15, workload match +5.0 TMax 9B
- 90 ptsExcellent (S) · 90 of 100 points: Model quality 32.9/45, Memory fit 24.0/25, Speed 13.5/15, Memory use 15.0/15, workload match +5.0 Ornith 1.5 9B
- 90 ptsExcellent (S) · 90 of 100 points: Model quality 32.5/45, Memory fit 24.0/25, Speed 13.5/15, Memory use 15.0/15, workload match +5.0 Qwen3.5 9B
- 89 ptsExcellent (S) · 89 of 100 points: Model quality 32.1/45, Memory fit 24.0/25, Speed 13.5/15, Memory use 15.0/15, workload match +5.0 Ornith 1.0 9B
- 89 ptsExcellent (S) · 89 of 100 points: Model quality 31.4/45, Memory fit 24.0/25, Speed 13.8/15, Memory use 15.0/15, workload match +5.0 Gemma 4 12B
Coding at 32K context
- 90 ptsExcellent (S) · 90 of 100 points: Model quality 32.9/45, Memory fit 24.0/25, Speed 13.5/15, Memory use 15.0/15, workload match +5.0 Ornith 1.5 9B
- 89 ptsExcellent (S) · 89 of 100 points: Model quality 32.1/45, Memory fit 24.0/25, Speed 13.5/15, Memory use 15.0/15, workload match +5.0 Ornith 1.0 9B
- 85 ptsExcellent (S) · 85 of 100 points: Model quality 32.5/45, Memory fit 24.0/25, Speed 13.5/15, Memory use 15.0/15 Qwen3.5 9B
- 84 ptsGreat (A) · 84 of 100 points: Model quality 31.6/45, Memory fit 24.0/25, Speed 14.1/15, Memory use 15.0/15 TMax 9B
- 83 ptsGreat (A) · 83 of 100 points: Model quality 29.1/45, Memory fit 25.0/25, Speed 14.9/15, Memory use 15.0/15 Gemma 4 E4B
Reasoning at 32K context
- 90 ptsExcellent (S) · 90 of 100 points: Model quality 32.9/45, Memory fit 24.0/25, Speed 13.5/15, Memory use 15.0/15, workload match +5.0 Ornith 1.5 9B
- 90 ptsExcellent (S) · 90 of 100 points: Model quality 32.5/45, Memory fit 24.0/25, Speed 13.5/15, Memory use 15.0/15, workload match +5.0 Qwen3.5 9B
- 89 ptsExcellent (S) · 89 of 100 points: Model quality 31.6/45, Memory fit 24.0/25, Speed 14.1/15, Memory use 15.0/15, workload match +5.0 TMax 9B
- 89 ptsExcellent (S) · 89 of 100 points: Model quality 32.1/45, Memory fit 24.0/25, Speed 13.5/15, Memory use 15.0/15, workload match +5.0 Ornith 1.0 9B
- 87 ptsExcellent (S) · 87 of 100 points: Model quality 27.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15, workload match +5.0 Qwen3.5 4B
Documents (RAG) at 32K context
- 90 ptsExcellent (S) · 90 of 100 points: Model quality 32.5/45, Memory fit 24.0/25, Speed 13.5/15, Memory use 15.0/15, workload match +5.0 Qwen3.5 9B
- 88 ptsExcellent (S) · 88 of 100 points: Model quality 29.1/45, Memory fit 25.0/25, Speed 14.9/15, Memory use 15.0/15, workload match +5.0 Gemma 4 E4B
- 85 ptsExcellent (S) · 85 of 100 points: Model quality 32.9/45, Memory fit 24.0/25, Speed 13.5/15, Memory use 15.0/15 Ornith 1.5 9B
- 84 ptsGreat (A) · 84 of 100 points: Model quality 31.6/45, Memory fit 24.0/25, Speed 14.1/15, Memory use 15.0/15 TMax 9B
- 84 ptsGreat (A) · 84 of 100 points: Model quality 32.1/45, Memory fit 24.0/25, Speed 13.5/15, Memory use 15.0/15 Ornith 1.0 9B
Agents & tools at 64K context
- 88 ptsExcellent (S) · 88 of 100 points: Model quality 29.1/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15, workload match +5.0 Ornith 1.5 9B
- 87 ptsExcellent (S) · 87 of 100 points: Model quality 28.4/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15, workload match +5.0 Ornith 1.0 9B
- 87 ptsExcellent (S) · 87 of 100 points: Model quality 27.2/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15, workload match +5.0 TMax 4B
- 86 ptsExcellent (S) · 86 of 100 points: Model quality 28.0/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15, workload match +5.0 TMax 9B
- 86 ptsExcellent (S) · 86 of 100 points: Model quality 26.2/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15, workload match +5.0 Agents-A1 4B
Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.