Intel Core Ultra 7 255H / 9 285H NAS (32 GB)
Best local LLMs for the Intel Core Ultra 7 255H / 9 285H NAS (32 GB)
Each list assumes the context that task needs, so a model that fits for chat may rank lower for long documents.
General chat at 8K context
- 87Excellent quality (A+) · 87 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking. Gemma 4 26B-A4B
- 73Great quality (A) · 73 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking. GLM-4.7 Flash (30B-A3B)
- 73Great quality (A) · 73 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. Raon-1 mini Preview (30B-A4B)
- 70Great quality (A) · 70 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. LFM2.5 24B-A2B
- 70Great quality (A) · 70 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. gpt-oss 20B
Coding at 32K context
- 77Great quality (A) · 77 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking. Gemma 4 26B-A4B
- 73Great quality (A) · 73 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. Raon-1 mini Preview (30B-A4B)
- 70Great quality (A) · 70 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. LFM2.5 24B-A2B
- 66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. Maple Preview (20B-A1B)
- 67Good quality (B) · 67 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. North Mini Code 1.0 (30B-A3B)
Reasoning at 32K context
- 73Great quality (A) · 73 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. Raon-1 mini Preview (30B-A4B)
- 70Great quality (A) · 70 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. LFM2.5 24B-A2B
- 70Great quality (A) · 70 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. gpt-oss 20B
- 66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. Maple Preview (20B-A1B)
- 67Good quality (B) · 67 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. Nemotron Cascade 2 30B-A3B
Documents (RAG) at 32K context
- 77Great quality (A) · 77 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking. Gemma 4 26B-A4B
- 67Good quality (B) · 67 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. Nemotron Cascade 2 30B-A3B
- 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.6 35B-A3B
- 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM-V 4.7 35B-A3B
- 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.5 35B-A3B
Agents & tools at 64K context
- 77Great quality (A) · 77 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking. Gemma 4 26B-A4B
- 73Great quality (A) · 73 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. Raon-1 mini Preview (30B-A4B)
- 70Great quality (A) · 70 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. LFM2.5 24B-A2B
- 70Great quality (A) · 70 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. gpt-oss 20B
- 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM-V 4.7 35B-A3B
Reverse engineering at 32K context
- 70Great quality (A) · 70 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. gpt-oss 20B
- 77Great quality (A) · 77 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. Gemma 4 26B-A4B
- 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.5 35B-A3B
- 61Good quality (B) · 61 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking. GLM-4.7 Flash (30B-A3B)
- 73Great quality (A) · 73 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. Raon-1 mini Preview (30B-A4B)
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.