Best local LLMs for the NVIDIA RTX PRO 4000 Blackwell Generation Laptop GPU

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. 82Great quality (A) · 82 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking. Gemma 4 12B Q6_K · 63.8 tok/s · Runs great
  2. 80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking. K2 Horizon 7B Q8_0 · 62.2 tok/s · Runs great
  3. 78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking. SenseNova Loop 9B Preview Q8_0 · 58.0 tok/s · Runs great
  4. 80Great quality (A) · 80 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.8 27B Q3_K_M · 51.2 tok/s · Runs well (tight fit)
  5. 77Great quality (A) · 77 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking. Ornith 1.5 9B Q8_0 · 58.0 tok/s · Runs great

Coding at 32K context

  1. 78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking. MiMo V2.6 Distill Qwen 9B Q8_0 · 59.5 tok/s · Runs great
  2. 78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking. SenseNova Loop 9B Preview Q8_0 · 58.0 tok/s · Runs great
  3. 80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking. K2 Horizon 7B Q8_0 · 62.2 tok/s · Runs well (tight fit)
  4. 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 Q3_K_M · 169 tok/s · Runs well (tight fit)
  5. 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. Raon-1 mini Preview (30B-A4B) Q3_K_M · 160 tok/s · Runs well (tight fit)

Reasoning at 32K context

  1. 78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking. MiMo V2.6 Distill Qwen 9B Q8_0 · 59.5 tok/s · Runs great
  2. 78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking. SenseNova Loop 9B Preview Q8_0 · 58.0 tok/s · Runs great
  3. 80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking. K2 Horizon 7B Q8_0 · 62.2 tok/s · Runs well (tight fit)
  4. 76Great quality (A) · 76 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.5 9B Q8_0 · 58.0 tok/s · Runs great
  5. 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. Raon-1 mini Preview (30B-A4B) Q3_K_M · 160 tok/s · Runs well (tight fit)

Documents (RAG) at 32K context

  1. 80Great quality (A) · 80 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking. Gemma 4 12B Q5_K_M · 76.0 tok/s · Runs great
  2. 78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking. SenseNova Loop 9B Preview Q8_0 · 58.0 tok/s · Runs great
  3. 77Great quality (A) · 77 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking. Ornith 1.5 9B Q8_0 · 58.0 tok/s · Runs great
  4. 76Great quality (A) · 76 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.5 9B Q8_0 · 58.0 tok/s · Runs great
  5. 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 Q3_K_M · 169 tok/s · Runs well (tight fit)

Agents & tools at 64K context

  1. 80Great quality (A) · 80 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking. Gemma 4 12B Q5_K_M · 76.0 tok/s · Runs well (tight fit)
  2. 78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking. MiMo V2.6 Distill Qwen 9B Q8_0 · 59.5 tok/s · Runs great
  3. 77Great quality (A) · 77 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking. SenseNova Loop 9B Preview Q6_K · 79.0 tok/s · Runs great
  4. 70Great quality (A) · 70 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. Nemotron 3.5 Bolt E4B Q8_0 · 124 tok/s · Runs great
  5. 70Great quality (A) · 70 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. UI-Mate 9B Q8_0 · 59.5 tok/s · Runs great

Reverse engineering at 32K context

  1. 80Great quality (A) · 80 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. Gemma 4 12B Q5_K_M · 76.0 tok/s · Runs great
  2. 70Great quality (A) · 70 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. gpt-oss 20B MXFP4 · 156 tok/s · Runs well (tight fit)
  3. 78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. MiMo V2.6 Distill Qwen 9B Q8_0 · 59.5 tok/s · Runs great
  4. 78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. SenseNova Loop 9B Preview Q8_0 · 58.0 tok/s · Runs great
  5. 80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. K2 Horizon 7B Q8_0 · 62.2 tok/s · Runs well (tight fit)

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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