CanRun

Which local LLMs can the DDR4-3200 dual-channel CPU run?

No GPU — the whole model runs from system RAM

CPU-only inference with 4 GB of RAM kept for the OS, 8k context and an f16 KV cache. Verdicts are shown for each RAM size.

Specs

Memory options
16 GB · 32 GB · 64 GB
Memory bandwidth
51.2 GB/s
Launch year
2016

Verdicts at a glance

At Q4_K_M (or the closest available quant) with 8k context.

  • 16 GBRuns great0 modelsRuns well0 modelsRuns slowly25 modelsWon't run34 models5 more models run at a lower quant.
  • 32 GBRuns great0 modelsRuns well0 modelsRuns slowly33 modelsWon't run26 models4 more models run at a lower quant.
  • 64 GBRuns great0 modelsRuns well0 modelsRuns slowly34 modelsWon't run25 models6 more models run at a lower quant.

How to read the verdicts

Runs great
Fully on the GPU at 20 tok/s or more
Runs well
Fully on the GPU at 8–20 tok/s; MoE experts in system RAM at 20 tok/s or more; or at least 90% on the GPU at 8 tok/s or more
Runs slowly
2–8 tok/s; CPU-only; less than 90% on the GPU; or MoE experts in system RAM below 20 tok/s
Won't run
Does not fit, or under 2 tok/s

Every model on the DDR4-3200 dual-channel CPU

Scroll sideways to see every column.

59 models sorted by verdict and speed, with 64 GB of memory
ModelVerdictSpeedQuantMemoryRuns asContextNotes
MiniCPM5 1B
Runs slowly
est. 28.7 tok/s23.0–34.5calibrated estimate ±20%
Q4_K_M0.9 GB RAMCPU onlyup to 128k
  • CPU inference — capped at Runs slowly
  • thinking mode
Ling-3.0 Tiny
Runs slowly
est. 25.9 tok/s18.1–33.6theoretical estimate ±30%
Q4_K_M4.9 GB RAMCPU onlyup to 128k
  • CPU inference — capped at Runs slowly
  • thinking mode
Llama 3.2 1B
Runs slowly
est. 23.7 tok/s19.0–28.5calibrated estimate ±20%
Q4_K_M1.1 GB RAMCPU onlyup to 128k
  • CPU inference — capped at Runs slowly
EXAONE 4.0 1.2B
Runs slowly
est. 19.5 tok/s15.6–23.4calibrated estimate ±20%
Q4_K_M1.3 GB RAMCPU onlyup to 64k
  • CPU inference — capped at Runs slowly
  • thinking mode
Gemma 4 E2B
Runs slowly
est. 16.5 tok/s11.6–21.5theoretical estimate ±30%
Q4_K_M3.2 GB RAMCPU onlyup to 128k
  • CPU inference — capped at Runs slowly
  • thinking mode
LFM2.5 2.6B
Runs slowly
est. 14.2 tok/s9.9–18.4theoretical estimate ±30%
Q4_K_M1.8 GB RAMCPU onlyup to 128k
  • CPU inference — capped at Runs slowly
  • thinking mode
HyperCLOVA X SEED 1.5B
Runs slowly
est. 14.1 tok/s11.3–16.9calibrated estimate ±20%
Q4_K_M1.8 GB RAMCPU onlyup to 16k
  • CPU inference — capped at Runs slowly
MiniCPM5 2B
Runs slowly
est. 13.4 tok/s10.7–16.1calibrated estimate ±20%
Q4_K_M1.9 GB RAMCPU onlyup to 128k
  • CPU inference — capped at Runs slowly
  • thinking mode
Mellum2.1 12B-A2.5B Thinking
Runs slowly
est. 12.4 tok/s9.9–14.9calibrated estimate ±20%
Q4_K_M8.2 GB RAMCPU onlyup to 128k
  • CPU inference — capped at Runs slowly
  • thinking mode
MiniCPM-V 4.7 35B-A3B
Runs slowly
est. 11.2 tok/s8.9–13.4calibrated estimate ±20%
Q4_K_M21.3 GB RAMCPU onlyup to 256k
  • thinking mode
Qwen3.6 35B-A3B
Runs slowly
est. 10.9 tok/s8.7–13.0calibrated estimate ±20%
Q4_K_M22.5 GB RAMCPU onlyup to 256k
  • thinking mode
Qwen3.5 35B-A3B
Runs slowly
est. 10.7 tok/s8.6–12.8calibrated estimate ±20%
Q4_K_M22.8 GB RAMCPU onlyup to 256k
  • thinking mode
gpt-oss-20b
Runs slowly
est. 9.6 tok/s7.7–11.6calibrated estimate ±20%
MXFP412.3 GB RAMCPU onlyup to 128k
  • thinking mode
Kolibri 1
Runs slowly
est. 9.3 tok/s7.4–11.1calibrated estimate ±20%
Q4_K_M49.9 GB RAMCPU onlyup to 128k
  • thinking mode
Nemotron 3.5 Lightning 30B-A3B
Runs slowly
est. 8.9 tok/s6.2–11.6theoretical estimate ±30%
Q4_K_M25.5 GB RAMCPU onlyup to 256k
  • thinking mode
Spark-X2.5 4B
Runs slowly
est. 8.8 tok/s7.1–10.6calibrated estimate ±20%
Q4_K_M2.9 GB RAMCPU onlyup to 128k
  • thinking mode
Llama 3.2 3B
Runs slowly
est. 8.7 tok/s6.9–10.4calibrated estimate ±20%
Q4_K_M3.0 GB RAMCPU onlyup to 64k
  • CPU inference — capped at Runs slowly
Qwen3.5 4B
Runs slowly
est. 8.3 tok/s6.6–9.9calibrated estimate ±20%
Q4_K_M3.1 GB RAMCPU onlyup to 128k
  • thinking mode
Gemma 4 26B-A4B
Runs slowly
est. 8.1 tok/s6.5–9.7calibrated estimate ±20%
Q4_K_M17.1 GB RAMCPU onlyup to 128k
  • thinking mode
Gemma 4 E4B
Runs slowly
est. 8.1 tok/s5.6–10.5theoretical estimate ±30%
Q4_K_M5.1 GB RAMCPU onlyup to 128k
  • thinking mode
Qwen3 30B-A3B (2507)
Runs slowly
est. 7.8 tok/s6.3–9.4calibrated estimate ±20%
Q4_K_M19.4 GB RAMCPU onlyup to 64k—
Kanana 1.5 15.7B-A3B
Runs slowly
est. 7.2 tok/s5.7–8.6calibrated estimate ±20%
Q4_K_M11.5 GB RAMCPU onlyup to 32k—
K2-Horizon MoVA 36B-A4B
Runs slowly
est. 5.5 tok/s3.9–7.2theoretical estimate ±30%
Q4_K_M24.0 GB RAMCPU onlyup to 16k
  • thinking mode
DeepSeek R1 Distill Llama 8B
Runs slowly
est. 4.3 tok/s3.4–5.1calibrated estimate ±20%
Q4_K_M6.0 GB RAMCPU onlyup to 16k
  • thinking mode
Kanana 1.5 8B
Runs slowly
est. 4.3 tok/s3.4–5.1calibrated estimate ±20%
Q4_K_M6.0 GB RAMCPU onlyup to 32k—
Llama 3.1 8B
Runs slowly
est. 4.3 tok/s3.4–5.1calibrated estimate ±20%
Q4_K_M6.0 GB RAMCPU onlyup to 32k—
Nanbeige4.2 3B
Runs slowly
est. 4.2 tok/s2.9–5.4theoretical estimate ±30%
Q4_K_M4.2 GB RAMCPU onlyup to 16k
  • thinking mode
Qwen3.5 9B
Runs slowly
est. 4.2 tok/s3.3–5.0calibrated estimate ±20%
Q4_K_M6.1 GB RAMCPU onlyup to 64k
  • thinking mode
DeepSeek R1 0528 Qwen3 8B
Runs slowly
est. 4.1 tok/s3.3–4.9calibrated estimate ±20%
Q4_K_M6.2 GB RAMCPU onlyup to 16k
  • thinking mode
Qwen3 8B
Runs slowly
est. 4.1 tok/s3.3–4.9calibrated estimate ±20%
Q4_K_M6.2 GB RAMCPU onlyup to 16k
  • thinking mode
K2-Horizon 7B
Runs slowly
est. 3.8 tok/s3.0–4.5calibrated estimate ±20%
Q4_K_M6.8 GB RAMCPU onlyup to 16k
  • thinking mode
Gemma 4 12B
Runs slowly
est. 3.5 tok/s2.8–4.2calibrated estimate ±20%
Q4_K_M7.3 GB RAMCPU onlyup to 64k
  • thinking mode
Gemma 3 12B
Runs slowly
est. 3.3 tok/s2.6–3.9calibrated estimate ±20%
Q4_K_M7.8 GB RAMCPU onlyup to 64k—
Phi-4
Runs slowly
est. 2.4 tok/s1.9–2.9calibrated estimate ±20%
Q4_K_M10.7 GB RAMCPU onlyup to 16k—
Qwen3.5 122B-A10B
Won't runTry UD-Q2_K_XL (heavy quality loss): Runs slowly
est. 6.1 tok/s4.9–7.3calibrated estimate ±20%
UD-Q2_K_XL43.1 GB RAMCPU onlyup to 128k
  • thinking mode
Solar Open 100B
Won't runTry Q2_K (heavy quality loss): Runs slowly
est. 3.7 tok/s2.9–4.4calibrated estimate ±20%
Q2_K39.3 GB RAMCPU onlyup to 8k
  • thinking mode
Qwen3 14B
Won't runTry Q2_K (heavy quality loss): Runs slowly
est. 3.6 tok/s2.9–4.3calibrated estimate ±20%
Q2_K7.1 GB RAMCPU onlyup to 16k
  • thinking mode
DeepSeek R1 Distill Qwen 14B
Won't runTry Q2_K (heavy quality loss): Runs slowly
est. 3.5 tok/s2.8–4.2calibrated estimate ±20%
Q2_K7.4 GB RAMCPU onlyup to 8k
  • thinking mode
HyperCLOVA X SEED Think 14B
Won't run
est. 2.5 tok/s1.8–3.3theoretical estimate ±30%
Q4_K_M10.2 GB RAMCPU only—
  • Fits, but too slow to use
  • thinking mode
Mistral Small 3.2 24B
Won't runTry Q2_K (heavy quality loss): Runs slowly
est. 2.5 tok/s2.0–3.0calibrated estimate ±20%
Q2_K10.2 GB RAMCPU onlyup to 16k—
Gemma 3 27B
Won't runTry Q2_K (heavy quality loss): Runs slowly
est. 2.3 tok/s1.8–2.7calibrated estimate ±20%
Q2_K11.2 GB RAMCPU onlyup to 16k—
Qwen3.6 27B
Won't run
est. 1.5 tok/s1.2–1.8calibrated estimate ±20%
Q4_K_M17.4 GB RAMCPU only—
  • Fits, but too slow to use
  • thinking mode
Muse Glimmer 30B
Won't run
est. 1.5 tok/s1.2–1.8calibrated estimate ±20%
Q4_K_M17.4 GB RAMCPU only—
  • Fits, but too slow to use
  • thinking mode
Qwen3.5 27B
Won't run
est. 1.5 tok/s1.2–1.7calibrated estimate ±20%
Q4_K_M17.6 GB RAMCPU only—
  • Fits, but too slow to use
  • thinking mode
Qwen3.8 27B
Won't run
est. 1.4 tok/s1.1–1.7calibrated estimate ±20%
Q4_K_M18.0 GB RAMCPU only—
  • Fits, but too slow to use
  • thinking mode
Gemma 4 31B
Won't run
est. 1.3 tok/s1.1–1.6calibrated estimate ±20%
Q4_K_M19.0 GB RAMCPU only—
  • Fits, but too slow to use
  • thinking mode
Granite 4.2 30B
Won't run
est. 1.3 tok/s1.0–1.5calibrated estimate ±20%
Q4_K_M19.9 GB RAMCPU only—
  • Fits, but too slow to use
  • thinking mode
EXAONE 4.0 32B
Won't run
est. 1.3 tok/s1.0–1.5calibrated estimate ±20%
Q4_K_M19.9 GB RAMCPU only—
  • Fits, but too slow to use
  • thinking mode
EXAONE 4.5 33B
Won't run
est. 1.2 tok/s1.0–1.5calibrated estimate ±20%
Q4_K_M20.6 GB RAMCPU only—
  • Fits, but too slow to use
  • thinking mode
Qwen3 32B
Won't run
est. 1.2 tok/s0.9–1.4calibrated estimate ±20%
Q4_K_M21.9 GB RAMCPU only—
  • Fits, but too slow to use
  • thinking mode
DeepSeek R1 Distill Qwen 32B
Won't run
est. 1.2 tok/s0.9–1.4calibrated estimate ±20%
Q4_K_M22.0 GB RAMCPU only—
  • Fits, but too slow to use
  • thinking mode
Nanbeige4.3 33B
Won't run
est. 1.1 tok/s0.9–1.4calibrated estimate ±20%
Q4_K_M22.5 GB RAMCPU only—
  • Fits, but too slow to use
  • thinking mode
Llama 3.3 70B
Won't run
est. 0.6 tok/s0.5–0.7calibrated estimate ±20%
Q4_K_M45.2 GB RAMCPU only—
  • Fits, but too slow to use
DeepSeek V4 Flash 0731
Won't run
—MXFP4needs 155.0 GB——
  • Needs about 155.0 GB; 60.0 GB of RAM is free
  • thinking mode
GLM-5.3 Flash
Won't run
—Q4_K_Mneeds 181.5 GB——
  • Needs about 181.5 GB; 60.0 GB of RAM is free
  • thinking mode
gpt-oss-120b
Won't run
—MXFP4needs 63.7 GB——
  • Needs about 63.7 GB; 60.0 GB of RAM is free
  • thinking mode
Laguna S 2.1
Won't run
—Q4_K_Mneeds 68.1 GB——
  • Needs about 68.1 GB; 60.0 GB of RAM is free
  • thinking mode
Ling-3.0 Flash
Won't run
—Q4_K_Mneeds 77.1 GB——
  • Needs about 77.1 GB; 60.0 GB of RAM is free
  • thinking mode
Solar Open 2 250B
Won't run
—IQ4_XSneeds 136.6 GB——
  • Needs about 136.6 GB; 60.0 GB of RAM is free
  • thinking mode

Models with a thinking mode spend extra tokens thinking, so their speed thresholds are 1.5× stricter (30 / 12 / 3 tok/s). With thinking turned off, a model may do one grade better.

Verdict by memory size

Q4_K_M verdict for each memory configuration — open the model page for speeds
Model16 GB32 GB64 GB
MiniCPM5 1BRuns slowlyRuns slowlyRuns slowly
Ling-3.0 TinyRuns slowlyRuns slowlyRuns slowly
Llama 3.2 1BRuns slowlyRuns slowlyRuns slowly
EXAONE 4.0 1.2BRuns slowlyRuns slowlyRuns slowly
Gemma 4 E2BRuns slowlyRuns slowlyRuns slowly
LFM2.5 2.6BRuns slowlyRuns slowlyRuns slowly
HyperCLOVA X SEED 1.5BRuns slowlyRuns slowlyRuns slowly
MiniCPM5 2BRuns slowlyRuns slowlyRuns slowly
Mellum2.1 12B-A2.5B ThinkingRuns slowlyRuns slowlyRuns slowly
MiniCPM-V 4.7 35B-A3BWon't runRuns slowlyRuns slowly
Qwen3.6 35B-A3BWon't runRuns slowlyRuns slowly
Qwen3.5 35B-A3BWon't runRuns slowlyRuns slowly
gpt-oss-20bWon't runRuns slowlyRuns slowly
Kolibri 1Won't runWon't runRuns slowly
Nemotron 3.5 Lightning 30B-A3BWon't runRuns slowlyRuns slowly
Spark-X2.5 4BRuns slowlyRuns slowlyRuns slowly
Llama 3.2 3BRuns slowlyRuns slowlyRuns slowly
Qwen3.5 4BRuns slowlyRuns slowlyRuns slowly
Gemma 4 26B-A4BWon't runRuns slowlyRuns slowly
Gemma 4 E4BRuns slowlyRuns slowlyRuns slowly
Qwen3 30B-A3B (2507)Won't runRuns slowlyRuns slowly
Kanana 1.5 15.7B-A3BRuns slowlyRuns slowlyRuns slowly
K2-Horizon MoVA 36B-A4BWon't runRuns slowlyRuns slowly
DeepSeek R1 Distill Llama 8BRuns slowlyRuns slowlyRuns slowly
Kanana 1.5 8BRuns slowlyRuns slowlyRuns slowly
Llama 3.1 8BRuns slowlyRuns slowlyRuns slowly
Nanbeige4.2 3BRuns slowlyRuns slowlyRuns slowly
Qwen3.5 9BRuns slowlyRuns slowlyRuns slowly
DeepSeek R1 0528 Qwen3 8BRuns slowlyRuns slowlyRuns slowly
Qwen3 8BRuns slowlyRuns slowlyRuns slowly
K2-Horizon 7BRuns slowlyRuns slowlyRuns slowly
Gemma 4 12BRuns slowlyRuns slowlyRuns slowly
Gemma 3 12BRuns slowlyRuns slowlyRuns slowly
Phi-4Runs slowlyRuns slowlyRuns slowly
Qwen3.5 122B-A10BWon't runWon't runWon't run
Solar Open 100BWon't runWon't runWon't run
Qwen3 14BWon't runWon't runWon't run
DeepSeek R1 Distill Qwen 14BWon't runWon't runWon't run
HyperCLOVA X SEED Think 14BWon't runWon't runWon't run
Mistral Small 3.2 24BWon't runWon't runWon't run
Gemma 3 27BWon't runWon't runWon't run
Qwen3.6 27BWon't runWon't runWon't run
Muse Glimmer 30BWon't runWon't runWon't run
Qwen3.5 27BWon't runWon't runWon't run
Qwen3.8 27BWon't runWon't runWon't run
Gemma 4 31BWon't runWon't runWon't run
Granite 4.2 30BWon't runWon't runWon't run
EXAONE 4.0 32BWon't runWon't runWon't run
EXAONE 4.5 33BWon't runWon't runWon't run
Qwen3 32BWon't runWon't runWon't run
DeepSeek R1 Distill Qwen 32BWon't runWon't runWon't run
Nanbeige4.3 33BWon't runWon't runWon't run
Llama 3.3 70BWon't runWon't runWon't run
DeepSeek V4 Flash 0731Won't runWon't runWon't run
GLM-5.3 FlashWon't runWon't runWon't run
gpt-oss-120bWon't runWon't runWon't run
Laguna S 2.1Won't runWon't runWon't run
Ling-3.0 FlashWon't runWon't runWon't run
Solar Open 2 250BWon't runWon't runWon't run

Measured results on the DDR4-3200 dual-channel CPU

No public measurements for this device yet.

Frequently asked questions

What is the largest model this CPU setup can run?

Kolibri 1 at Q4_K_M (a 49.76 GB file) runs from 64 GB of RAM at est. 9.3 tok/s (7.4–11.1, calibrated estimate ±20%).

How many local LLMs run well on the DDR4-3200 dual-channel CPU?

At Q4_K_M with 8k context, with 64 GB of memory, out of 59 tracked models: 0 run great, 0 run well, 34 run slowly and 25 won't run.

Can the DDR4-3200 dual-channel CPU run a 70B model like Llama 3.3 70B?

It fits in memory but is too slow to use: est. 0.6 tok/s (0.5–0.7, calibrated estimate ±20%).

Speeds are estimates from memory bandwidth, calibrated against public benchmarks, and each one comes with an error band and a confidence label. Real results vary with drivers, backend, context length and thermals.

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