EXAONE 4.0 32B hardware requirements
About the model
- Parameters
- 32B
- Attention
- Sliding-window attention
- Max context
- 131,072 tokens
- Released
- 2025-07-11
- Model card
- EXAONE 4.0 32B on Hugging Face
GGUF files
| Quant | File size | Quality | Published by |
|---|---|---|---|
| IQ4_XS | 17.39 GB | Good balance | Official GGUF · LGAI-EXAONE |
| Q4_K_Mbaseline | 19.34 GB | Good balance | Official GGUF · LGAI-EXAONE |
| Q6_K | 26.26 GB | Near-lossless | Official GGUF · LGAI-EXAONE |
| Q8_0 | 34.01 GB | Near-lossless | Official GGUF · LGAI-EXAONE |
Memory needed by quant and context
| Quant | 4k | 8k | 16k | 32k | 64k | 128k |
|---|---|---|---|---|---|---|
| IQ4_XS | 18.2 | 18.5 | 19.1 | 20.3 | 22.8 | 27.7 |
| Q4_K_M | 20.1 | 20.5 | 21.1 | 22.3 | 24.7 | 29.6 |
| Q6_K | 27.1 | 27.4 | 28.0 | 29.2 | 31.7 | 36.5 |
| Q8_0 | 34.8 | 35.1 | 35.7 | 37.0 | 39.4 | 44.3 |
Which GPUs can run EXAONE 4.0 32B?
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
Dense models split between GPU and CPU slow down sharply — the CPU side sets the pace. MoE models that keep only their experts in system RAM degrade far more gently.
Scroll sideways to see every column.
| Hardware | Verdict | Speed | Quant | Memory | Runs as | Context | Notes | Price |
|---|---|---|---|---|---|---|---|---|
| GeForce RTX 5090 | Runs great | est. 63.1 tok/s55.5–70.7calibrated estimate ±12% | Q4_K_M | 21.1 / 32.0 GB | Full GPU | up to 128k | — | $4,200 street (as of 2026-08-09) |
| Radeon RX 7900 XTX | Runs great | est. 37.7 tok/s33.2–42.2calibrated estimate ±12% | Q4_K_M | 21.1 / 24.0 GB | Full GPU | up to 32k | — | $999 launch MSRP |
| GeForce RTX 3090 Ti | Runs great | est. 35.5 tok/s31.2–39.8calibrated estimate ±12% | Q4_K_M | 21.1 / 24.0 GB | Full GPU | up to 32k | — | $1,999 launch MSRP |
| GeForce RTX 4090 | Runs great | est. 35.5 tok/s31.2–39.8calibrated estimate ±12% | Q4_K_M | 21.1 / 24.0 GB | Full GPU | up to 32k | — | $2,755 street (as of 2026-08-09) |
| GeForce RTX 3090 | Runs great | est. 33.0 tok/s29.0–36.9calibrated estimate ±12% | Q4_K_M | 21.1 / 24.0 GB | Full GPU | up to 32k | — | $1,050 street (as of 2026-08-09) |
| GeForce RTX 5090 Laptop | Runs great | est. 31.6 tok/s27.8–35.3calibrated estimate ±12% | Q4_K_M | 21.1 / 24.0 GB | Full GPU | up to 16k | — | — |
| Apple M5 Max (40-core GPU) · 48 GB | Runs well | est. 18.5 tok/s14.8–22.2calibrated estimate ±20% | Q4_K_M | 20.5 / 33.6 GB | Unified memory | up to 128k | — | — |
| Radeon RX 7900 XT | Runs well | est. 18.4 tok/s14.7–22.1calibrated estimate ±20% | Q4_K_M | 20.0 / 20.0 GB + 1.1 GB RAM | Partial offload | up to 16k |
| $899 launch MSRP |
| Apple M3 Ultra · 96 GB | Runs well | est. 18.1 tok/s14.5–21.8calibrated estimate ±20% | Q4_K_M | 20.5 / 67.2 GB | Unified memory | up to 128k | — | — |
| Apple M2 Ultra · 64 GB | Runs well | est. 17.7 tok/s14.2–21.3calibrated estimate ±20% | Q4_K_M | 20.5 / 44.8 GB | Unified memory | up to 128k | — | — |
| Apple M4 Max (40-core GPU) · 48 GB | Runs well | est. 16.5 tok/s13.2–19.8calibrated estimate ±20% | Q4_K_M | 20.5 / 33.6 GB | Unified memory | up to 64k | — | — |
| Apple M5 Max (32-core GPU) · 36 GB | Runs well | est. 13.9 tok/s11.1–16.7calibrated estimate ±20% | Q4_K_M | 20.5 / 25.2 GB | Unified memory | up to 32k | — | — |
| Apple M4 Max (32-core GPU) · 36 GB | Runs well | est. 12.4 tok/s9.9–14.9calibrated estimate ±20% | Q4_K_M | 20.5 / 25.2 GB | Unified memory | up to 16k | — | — |
| Ryzen AI Max+ 395 (Strix Halo) · 32 GB | Runs slowly | est. 8.4 tok/s6.7–10.0calibrated estimate ±20% | Q4_K_M | 20.5 / 22.4 GB | Unified memory | up to 32k | — | $1,999 launch MSRP |
| GeForce RTX 5080 | Runs slowly | est. 7.3 tok/s5.8–8.7calibrated estimate ±20% | Q4_K_M | 16.0 / 16.0 GB + 5.1 GB RAM | Partial offload | up to 64k | — | $1,256 street (as of 2026-08-09) |
| GeForce RTX 5070 Ti | Runs slowly | est. 7.2 tok/s5.7–8.6calibrated estimate ±20% | Q4_K_M | 16.0 / 16.0 GB + 5.1 GB RAM | Partial offload | up to 64k | — | $949 street (as of 2026-08-09) |
| GeForce RTX 5080 Laptop | Runs slowly | est. 7.2 tok/s5.7–8.6calibrated estimate ±20% | Q4_K_M | 16.0 / 16.0 GB + 5.1 GB RAM | Partial offload | up to 64k | — | — |
| GeForce RTX 4080 Super | Runs slowly | est. 6.9 tok/s5.5–8.3calibrated estimate ±20% | Q4_K_M | 16.0 / 16.0 GB + 5.1 GB RAM | Partial offload | up to 64k | — | $999 launch MSRP |
| Radeon RX 9070 | Runs slowly | est. 6.9 tok/s5.5–8.3calibrated estimate ±20% | Q4_K_M | 16.0 / 16.0 GB + 5.1 GB RAM | Partial offload | up to 64k | — | $639 street (as of 2026-08-09) |
| Radeon RX 9070 XT | Runs slowly | est. 6.9 tok/s5.5–8.3calibrated estimate ±20% | Q4_K_M | 16.0 / 16.0 GB + 5.1 GB RAM | Partial offload | up to 64k | — | $689 street (as of 2026-08-09) |
| GeForce RTX 4080 | Runs slowly | est. 6.9 tok/s5.5–8.3calibrated estimate ±20% | Q4_K_M | 16.0 / 16.0 GB + 5.1 GB RAM | Partial offload | up to 64k | — | $1,199 launch MSRP |
| Radeon RX 7800 XT | Runs slowly | est. 6.8 tok/s5.5–8.2calibrated estimate ±20% | Q4_K_M | 16.0 / 16.0 GB + 5.1 GB RAM | Partial offload | up to 64k | — | $499 launch MSRP |
| GeForce RTX 4070 Ti Super | Runs slowly | est. 6.8 tok/s5.4–8.2calibrated estimate ±20% | Q4_K_M | 16.0 / 16.0 GB + 5.1 GB RAM | Partial offload | up to 64k | — | $799 launch MSRP |
| GeForce RTX 4090 Laptop | Runs slowly | est. 6.6 tok/s5.3–7.9calibrated estimate ±20% | Q4_K_M | 16.0 / 16.0 GB + 5.1 GB RAM | Partial offload | up to 64k | — | — |
| GeForce RTX 5060 Ti 16GB | Runs slowly | est. 6.1 tok/s4.9–7.4calibrated estimate ±20% | Q4_K_M | 16.0 / 16.0 GB + 5.1 GB RAM | Partial offload | up to 64k | — | $569 street (as of 2026-08-09) |
| Radeon RX 9060 XT 16GB | Runs slowly | est. 5.7 tok/s4.6–6.9calibrated estimate ±20% | Q4_K_M | 16.0 / 16.0 GB + 5.1 GB RAM | Partial offload | up to 64k | — | $449 street (as of 2026-08-09) |
| NVIDIA DGX Spark · 128 GB | Runs slowly | est. 5.5 tok/s4.4–6.6calibrated estimate ±20% | Q4_K_M | 20.5 / 89.6 GB | Unified memory | up to 128k | — | $3,999 launch MSRP |
| Apple M5 Pro · 24 GB | Runs slowly | est. 5.4 tok/s3.8–7.0theoretical estimate ±30% | Q4_K_M | 19.9 GB RAM | CPU only | up to 8k | — | — |
| GeForce RTX 4060 Ti 16GB | Runs slowly | est. 5.3 tok/s4.2–6.4calibrated estimate ±20% | Q4_K_M | 16.0 / 16.0 GB + 5.1 GB RAM | Partial offload | up to 64k | — | $499 launch MSRP |
| Apple M4 Pro · 24 GB | Runs slowly | est. 4.8 tok/s3.4–6.2theoretical estimate ±30% | Q4_K_M | 19.9 GB RAM | CPU only | up to 8k | — | — |
| Apple M5 · 32 GB | Runs slowly | est. 4.6 tok/s3.7–5.6calibrated estimate ±20% | Q4_K_M | 20.5 / 22.4 GB | Unified memory | up to 32k | — | — |
| GeForce RTX 3080 12GB | Runs slowly | est. 4.5 tok/s3.6–5.4calibrated estimate ±20% | Q4_K_M | 12.0 / 12.0 GB + 9.1 GB RAM | Partial offload | up to 32k | — | $799 launch MSRP |
| GeForce RTX 5070 | Runs slowly | est. 4.3 tok/s3.5–5.2calibrated estimate ±20% | Q4_K_M | 12.0 / 12.0 GB + 9.1 GB RAM | Partial offload | up to 32k | — | $629 street (as of 2026-08-09) |
| GeForce RTX 5070 Ti Laptop | Runs slowly | est. 4.3 tok/s3.5–5.2calibrated estimate ±20% | Q4_K_M | 12.0 / 12.0 GB + 9.1 GB RAM | Partial offload | up to 32k | — | — |
| GeForce RTX 4070 | Runs slowly | est. 4.2 tok/s3.4–5.0calibrated estimate ±20% | Q4_K_M | 12.0 / 12.0 GB + 9.1 GB RAM | Partial offload | up to 32k | — | $599 launch MSRP |
| GeForce RTX 4070 Super | Runs slowly | est. 4.2 tok/s3.4–5.0calibrated estimate ±20% | Q4_K_M | 12.0 / 12.0 GB + 9.1 GB RAM | Partial offload | up to 32k | — | $599 launch MSRP |
| GeForce RTX 4080 Laptop | Runs slowly | est. 4.1 tok/s3.3–4.9calibrated estimate ±20% | Q4_K_M | 12.0 / 12.0 GB + 9.1 GB RAM | Partial offload | up to 32k | — | — |
| Intel Arc B580 | Runs slowly | est. 4.0 tok/s3.2–4.9calibrated estimate ±20% | Q4_K_M | 12.0 / 12.0 GB + 9.1 GB RAM | Partial offload | up to 32k | — | $290 street (as of 2026-08-09) |
| GeForce RTX 3060 12GB | Runs slowly | est. 4.0 tok/s3.2–4.8calibrated estimate ±20% | Q4_K_M | 12.0 / 12.0 GB + 9.1 GB RAM | Partial offload | up to 32k | — | $250 street (as of 2026-08-09) |
| GeForce RTX 2080 Ti | Runs slowly | est. 4.0 tok/s3.2–4.7calibrated estimate ±20% | Q4_K_M | 11.0 / 11.0 GB + 10.1 GB RAM | Partial offload | up to 32k | — | $999 launch MSRP |
| GeForce GTX 1080 Ti | Runs slowly | est. 3.9 tok/s2.7–5.0theoretical estimate ±30% | Q4_K_M | 11.0 / 11.0 GB + 10.1 GB RAM | Partial offload | up to 32k | — | $699 launch MSRP |
| GeForce RTX 3080 10GB | Runs slowly | est. 3.7 tok/s3.0–4.5calibrated estimate ±20% | Q4_K_M | 10.0 / 10.0 GB + 11.1 GB RAM | Partial offload | up to 32k | — | $699 launch MSRP |
| Apple M4 · 32 GB | Runs slowly | est. 3.6 tok/s2.9–4.3calibrated estimate ±20% | Q4_K_M | 20.5 / 22.4 GB | Unified memory | up to 32k | — | — |
| GeForce RTX 3070 | Runs slowly | est. 3.1 tok/s2.5–3.7calibrated estimate ±20% | Q4_K_M | 8.0 / 8.0 GB + 13.1 GB RAM | Partial offload | up to 8k | — | $499 launch MSRP |
| GeForce RTX 5060 | Runs slowly | est. 3.1 tok/s2.5–3.7calibrated estimate ±20% | Q4_K_M | 8.0 / 8.0 GB + 13.1 GB RAM | Partial offload | up to 8k | — | $339 street (as of 2026-08-09) |
| GeForce RTX 5060 Ti 8GB | Runs slowly | est. 3.1 tok/s2.5–3.7calibrated estimate ±20% | Q4_K_M | 8.0 / 8.0 GB + 13.1 GB RAM | Partial offload | up to 8k | — | $429 street (as of 2026-08-09) |
| GeForce RTX 4060 Ti 8GB | Runs slowly | est. 3.0 tok/s2.4–3.6calibrated estimate ±20% | Q4_K_M | 8.0 / 8.0 GB + 13.1 GB RAM | Partial offload | up to 8k | — | $399 launch MSRP |
| GeForce RTX 4060 | Won't runTry IQ4_XS: Runs slowly | est. 3.5 tok/s2.8–4.1calibrated estimate ±20% | IQ4_XS | 8.0 / 8.0 GB + 11.1 GB RAM | Partial offload | up to 16k | — | $299 launch MSRP |
| GeForce RTX 4060 Laptop | Won't runTry IQ4_XS: Runs slowly | est. 3.4 tok/s2.7–4.1calibrated estimate ±20% | IQ4_XS | 8.0 / 8.0 GB + 11.1 GB RAM | Partial offload | up to 16k | — | — |
| GeForce RTX 4070 Laptop | Won't runTry IQ4_XS: Runs slowly | est. 3.4 tok/s2.7–4.1calibrated estimate ±20% | IQ4_XS | 8.0 / 8.0 GB + 11.1 GB RAM | Partial offload | up to 16k | — | — |
| GeForce RTX 3050 8GB | Won't runTry IQ4_XS: Runs slowly | est. 3.4 tok/s2.7–4.0calibrated estimate ±20% | IQ4_XS | 8.0 / 8.0 GB + 11.1 GB RAM | Partial offload | up to 16k | — | $249 launch MSRP |
| DDR5-6000 dual-channel CPU · 96 GB | Won't run | est. 2.4 tok/s1.9–2.9calibrated estimate ±20% | Q4_K_M | 19.9 GB RAM | CPU only | — |
| — |
| DDR5-5600 dual-channel CPU · 96 GB | Won't run | est. 2.3 tok/s1.8–2.7calibrated estimate ±20% | Q4_K_M | 19.9 GB RAM | CPU only | — |
| — |
| DDR4-3200 dual-channel CPU · 64 GB | Won't run | est. 1.3 tok/s1.0–1.5calibrated estimate ±20% | Q4_K_M | 19.9 GB RAM | CPU only | — |
| — |
Reasoning models spend extra tokens thinking, so their speed thresholds are 1.5× stricter (30 / 12 / 3 tok/s).
Cheapest GPUs that run it
- Runs greatGeForce RTX 3090$1,050 street (as of 2026-08-09), est. 33.0 tok/s (29.0–36.9, calibrated estimate ±12%).
Measured results for EXAONE 4.0 32B
No public measurements for this model yet.
Frequently asked questions
How much VRAM does EXAONE 4.0 32B need?
At Q4_K_M the weights are 19.34 GB; with 8k context the total is about 20.5 GB (KV cache 0.5 GB, compute buffer 0.6 GB). The smallest tracked file (IQ4_XS) needs about 18.5 GB.
What is the cheapest GPU that runs EXAONE 4.0 32B well?
Cheapest that runs it great: GeForce RTX 3090 at $1,050 (street price as of 2026-08-09), est. 33.0 tok/s (29.0–36.9, calibrated estimate ±12%).
Can EXAONE 4.0 32B run on an 8 GB, 16 GB or 24 GB GPU?
At Q4_K_M with 8k context: GeForce RTX 4060 — Won't run, est. 3.0 tok/s (2.4–3.6, calibrated estimate ±20%); GeForce RTX 5060 Ti 16GB — Runs slowly, est. 6.1 tok/s (4.9–7.4, calibrated estimate ±20%); GeForce RTX 3090 — Runs great, est. 33.0 tok/s (29.0–36.9, calibrated estimate ±12%).
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.