Best local LLMs for the Intel Core Ultra 200H (Arc 140T) (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

  1. 87Excellent quality (A+) · 87 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking. Gemma 4 26B-A4B Q4_K_M · 23.3 tok/s · Runs well (tight fit)
  2. 73Great quality (A) · 73 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. GLM-4.7 Flash (30B-A3B) Q3_K_M · 36.5 tok/s · Runs well (tight fit)
  3. 70Great quality (A) · 70 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. LFM2.5 24B-A2B Q4_K_M · 34.6 tok/s · Runs well (tight fit)
  4. 73Great quality (A) · 73 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. Raon-1 mini Preview (30B-A4B) Q3_K_M · 26.4 tok/s · Runs well (tight fit)
  5. 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 MXFP4 · 26.0 tok/s · Runs well

Coding at 32K context

  1. 77Great quality (A) · 77 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. Gemma 4 26B-A4B Q3_K_M · 29.5 tok/s · Runs well (tight fit)
  2. 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) Q4_K_M · 53.0 tok/s · Runs great
  3. 70Great quality (A) · 70 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. LFM2.5 24B-A2B Q4_K_M · 34.6 tok/s · Runs well (tight fit)
  4. 73Great quality (A) · 73 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. Raon-1 mini Preview (30B-A4B) Q3_K_M · 26.4 tok/s · Runs well (tight fit)
  5. 67Good quality (B) · 67 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. North Mini Code 1.0 (30B-A3B) Q3_K_M · 36.5 tok/s · Runs well (tight fit)

Reasoning at 32K context

  1. 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) Q4_K_M · 53.0 tok/s · Runs great
  2. 70Great quality (A) · 70 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. LFM2.5 24B-A2B Q4_K_M · 34.6 tok/s · Runs well (tight fit)
  3. 73Great quality (A) · 73 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. Raon-1 mini Preview (30B-A4B) Q3_K_M · 26.4 tok/s · Runs well (tight fit)
  4. 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 MXFP4 · 26.0 tok/s · Runs well
  5. 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 Q2_K · 45.1 tok/s · Runs well (tight fit)

Documents (RAG) at 32K context

  1. 77Great quality (A) · 77 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. Gemma 4 26B-A4B Q3_K_M · 29.5 tok/s · Runs well (tight fit)
  2. 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 Q2_K · 45.1 tok/s · Runs well (tight fit)
  3. 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 Q2_K · 45.1 tok/s · Runs well (tight fit)
  4. 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 Q2_K · 45.1 tok/s · Runs well (tight fit)
  5. 67Good quality (B) · 67 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking. Nemotron Cascade 2 30B-A3B Q3_K_M · 31.8 tok/s · Runs well (tight fit)

Agents & tools at 64K context

  1. 77Great quality (A) · 77 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. Gemma 4 26B-A4B Q3_K_M · 29.5 tok/s · Runs well (tight fit)
  2. 70Great quality (A) · 70 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. LFM2.5 24B-A2B Q4_K_M · 34.6 tok/s · Runs well (tight fit)
  3. 73Great quality (A) · 73 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. Raon-1 mini Preview (30B-A4B) Q3_K_M · 26.4 tok/s · Runs well (tight fit)
  4. 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 Q2_K · 45.1 tok/s · Runs well (tight fit)
  5. 64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking. Nex N2 Mini (35B-A3B) Q2_K · 45.1 tok/s · Runs well (tight fit)

Reverse engineering at 32K context

  1. 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 MXFP4 · 26.0 tok/s · Runs well
  2. 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 Q2_K · 45.1 tok/s · Runs well (tight fit)
  3. 77Great quality (A) · 77 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking. Gemma 4 26B-A4B Q3_K_M · 29.5 tok/s · Runs well (tight fit)
  4. 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) Q2_K · 45.1 tok/s · Runs well (tight fit)
  5. 66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. Maple Preview (20B-A1B) Q4_K_M · 53.0 tok/s · Runs great

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.

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