Best local LLMs for the OnePlus 13 (24 GB RAM)
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
- 77Great quality (A) · 77 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. Gemma 4 26B-A4B
- 70Great quality (A) · 70 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. LFM2.5 24B-A2B
- 73Great quality (A) · 73 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. Raon-1 mini Preview (30B-A4B)
- 65Good quality (B) · 65 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. Qwen3.6 35B-A3B
- 65Good quality (B) · 65 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. MiniCPM-V 4.7 35B-A3B
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 90/100 (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 Q5_K_M, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. Maple Preview (20B-A1B)
- 73Great quality (A) · 73 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. Raon-1 mini Preview (30B-A4B)
- 65Good quality (B) · 65 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. MiniCPM-V 4.7 35B-A3B
- 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)
Reasoning at 32K context
- 67Good quality (B) · 67 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. Maple Preview (20B-A1B)
- 73Great quality (A) · 73 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. Raon-1 mini Preview (30B-A4B)
- 65Good quality (B) · 65 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. MiniCPM-V 4.7 35B-A3B
- 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)
- 62Good quality (B) · 62 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. LFM2.5 24B-A2B
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 90/100 (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 87/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM-V 4.7 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)
- 60Good quality (B) · 60 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. Agents-A1 35B-A3B
- 60Good quality (B) · 60 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. Qwen AgentWorld 35B-A3B
Agents & tools at 64K context
- 73Great quality (A) · 73 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. Raon-1 mini Preview (30B-A4B)
- 70Great quality (A) · 70 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking. gpt-oss 20B
- 62Good quality (B) · 62 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. LFM2.5 24B-A2B
- 64Good quality (B) · 64 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. Gemma 4 26B-A4B
- 66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. Mellum2.1 Thinking (12B-A2.5B)
Reverse engineering at 32K context
- 70Great quality (A) · 70 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking. gpt-oss 20B
- 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)
- 77Great quality (A) · 77 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. Gemma 4 26B-A4B
- 67Good quality (B) · 67 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. Maple Preview (20B-A1B)
- 73Great quality (A) · 73 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 83/100 (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.