DeepSeek R1 0528 Qwen3 8B hardware requirements
Open license · MITReasoning
What is DeepSeek R1 0528 Qwen3 8B?
DeepSeek R1 0528 Qwen3 8B is a reasoning model that DeepSeek released in May 2025. DeepSeek post-trained Qwen3 8B Base on chain-of-thought data from its upgraded DeepSeek-R1-0528, and the architecture is the same as Qwen3 8B. Unlike the January distills, it accepts a system prompt, and the model card recommends a temperature of 0.6. The MIT license allows commercial use.
About the model
- Parameters
- 8.19B
- Attention
- Full attention
- Max context
- 131,072 tokens
- Released
- 2025-05-29
Other sizes in this series
| Model | Parameters | Baseline quant | Memory needed (8k) | GeForce RTX 4060 | GeForce RTX 5060 Ti 16GB | GeForce RTX 3090 |
|---|---|---|---|---|---|---|
| DeepSeek R1 Distill Llama 8B | 8.03B | Q4_K_M | 6.3 GB | Runs great | Runs great | Runs great |
| DeepSeek R1 0528 Qwen3 8Bthis model | 8.19B | Q4_K_M | 6.5 GB | Runs great | Runs great | Runs great |
| DeepSeek R1 Distill Qwen 14B | 14.77B | Q4_K_M | 10.7 GB | Runs slowly | Runs well | Runs great |
| DeepSeek R1 Distill Qwen 32B | 32.8B | Q4_K_M | 22.1 GB | Won't run | Runs slowly | Runs well |
GGUF files
| Quant | File size | Quality | Published by |
|---|---|---|---|
| Q2_K | 3.28 GB | Heavy loss | Community GGUF · bartowski |
| IQ4_XS | 4.56 GB | Good balance | Community GGUF · bartowski |
| Q4_K_Mbaseline | 5.03 GB | Good balance | Community GGUF · bartowski |
| Q8_0 | 8.71 GB | Near-lossless | Community GGUF · bartowski |
Memory needed by quant and context
| Quant | 4k | 8k | 16k | 32k | 64k | 128k |
|---|---|---|---|---|---|---|
| Q2_K | 4.2 | 4.9 | 6.1 | 8.7 | 13.8 | 24.1 |
| IQ4_XS | 5.4 | 6.0 | 7.3 | 9.9 | 15.0 | 25.2 |
| Q4_K_M | 5.8 | 6.5 | 7.7 | 10.3 | 15.4 | 25.7 |
| Q8_0 | 9.2 | 9.8 | 11.1 | 13.7 | 18.8 | 29.1 |
Which GPUs can run DeepSeek R1 0528 Qwen3 8B?
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
Filter this list by budget, type and context in the calculator
Scroll sideways to see every column.
| Hardware | Verdict | Speed | Quant | Memory | Runs as | Context | Notes | Price |
|---|---|---|---|---|---|---|---|---|
| GeForce RTX 5090 | Runs great | est. 201.1 tok/s177.0–225.2calibrated estimate ±12% | Q4_K_M | 7.1 / 32.0 GB | Full GPU | up to 128k | — | $4,200 street (as of 2026-08-09) |
| Radeon RX 7900 XTX | Runs great | est. 117.0 tok/s102.9–131.0calibrated estimate ±12% | Q4_K_M | 7.1 / 24.0 GB | Full GPU | up to 64k | — | $999 launch MSRP |
| GeForce RTX 3090 Ti | Runs great | est. 113.1 tok/s99.5–126.7calibrated estimate ±12% | Q4_K_M | 7.1 / 24.0 GB | Full GPU | up to 64k | — | $1,999 launch MSRP |
| GeForce RTX 4090 | Runs great | est. 113.1 tok/s99.5–126.7calibrated estimate ±12% | Q4_K_M | 7.1 / 24.0 GB | Full GPU | up to 64k | — | $2,755 street (as of 2026-08-09) |
| Apple M5 Ultra · 96 GB | Runs great | est. 112.2 tok/s89.8–134.7calibrated estimate ±20% | Q4_K_M | 6.8 / 67.2 GB | Unified memory | up to 64k | — | — |
| GeForce RTX 5080 | Runs great | est. 107.7 tok/s94.8–120.7calibrated estimate ±12% | Q4_K_M | 7.1 / 16.0 GB | Full GPU | up to 32k | — | $1,256 street (as of 2026-08-09) |
| GeForce RTX 3090 | Runs great | est. 105.0 tok/s92.4–117.6calibrated estimate ±12% | Q4_K_M | 7.1 / 24.0 GB | Full GPU | up to 64k | — | $1,050 street (as of 2026-08-09) |
| GeForce RTX 3080 12GB | Runs great | est. 102.3 tok/s90.1–114.6calibrated estimate ±12% | Q4_K_M | 7.1 / 12.0 GB | Full GPU | up to 32k | — | $799 launch MSRP |
| GeForce RTX 5070 Ti | Runs great | est. 100.5 tok/s88.5–112.6calibrated estimate ±12% | Q4_K_M | 7.1 / 16.0 GB | Full GPU | up to 32k | — | $949 street (as of 2026-08-09) |
| GeForce RTX 5080 Laptop | Runs great | est. 100.5 tok/s88.5–112.6calibrated estimate ±12% | Q4_K_M | 7.1 / 16.0 GB | Full GPU | up to 32k | — | — |
| GeForce RTX 5090 Laptop | Runs great | est. 100.5 tok/s88.5–112.6calibrated estimate ±12% | Q4_K_M | 7.1 / 24.0 GB | Full GPU | up to 64k | — | — |
| Radeon RX 7900 XT | Runs great | est. 97.5 tok/s85.8–109.2calibrated estimate ±12% | Q4_K_M | 7.1 / 20.0 GB | Full GPU | up to 64k | — | $899 launch MSRP |
| GeForce RTX 3080 10GB | Runs great | est. 85.3 tok/s75.1–95.5calibrated estimate ±12% | Q4_K_M | 7.1 / 10.0 GB | Full GPU | up to 16k | — | $699 launch MSRP |
| GeForce RTX 4080 Super | Runs great | est. 82.6 tok/s72.7–92.5calibrated estimate ±12% | Q4_K_M | 7.1 / 16.0 GB | Full GPU | up to 32k | — | $999 launch MSRP |
| GeForce RTX 4080 | Runs great | est. 80.5 tok/s70.8–90.1calibrated estimate ±12% | Q4_K_M | 7.1 / 16.0 GB | Full GPU | up to 32k | — | $1,199 launch MSRP |
| Radeon RX 9070 | Runs great | est. 78.6 tok/s69.2–88.0calibrated estimate ±12% | Q4_K_M | 7.1 / 16.0 GB | Full GPU | up to 32k | — | $639 street (as of 2026-08-09) |
| Radeon RX 9070 XT | Runs great | est. 78.6 tok/s69.2–88.0calibrated estimate ±12% | Q4_K_M | 7.1 / 16.0 GB | Full GPU | up to 32k | — | $689 street (as of 2026-08-09) |
| Radeon RX 7800 XT | Runs great | est. 76.0 tok/s66.9–85.1calibrated estimate ±12% | Q4_K_M | 7.1 / 16.0 GB | Full GPU | up to 32k | — | $499 launch MSRP |
| GeForce RTX 4070 Ti Super | Runs great | est. 75.4 tok/s66.4–84.5calibrated estimate ±12% | Q4_K_M | 7.1 / 16.0 GB | Full GPU | up to 32k | — | $799 launch MSRP |
| GeForce RTX 5070 | Runs great | est. 75.4 tok/s66.4–84.5calibrated estimate ±12% | Q4_K_M | 7.1 / 12.0 GB | Full GPU | up to 32k | — | $629 street (as of 2026-08-09) |
| GeForce RTX 5070 Ti Laptop | Runs great | est. 75.4 tok/s66.4–84.5calibrated estimate ±12% | Q4_K_M | 7.1 / 12.0 GB | Full GPU | up to 32k | — | — |
| Apple M3 Ultra · 96 GB | Runs great | est. 74.8 tok/s59.9–89.8calibrated estimate ±20% | Q4_K_M | 6.8 / 67.2 GB | Unified memory | up to 64k | — | — |
| Apple M5 Max (40-core GPU) · 48 GB | Runs great | est. 74.8 tok/s59.8–89.8calibrated estimate ±20% | Q4_K_M | 6.8 / 33.6 GB | Unified memory | up to 64k | — | — |
| Apple M2 Ultra · 64 GB | Runs great | est. 73.1 tok/s58.5–87.7calibrated estimate ±20% | Q4_K_M | 6.8 / 44.8 GB | Unified memory | up to 64k | — | — |
| GeForce RTX 2080 Ti | Runs great | est. 69.1 tok/s60.8–77.4calibrated estimate ±12% | Q4_K_M | 7.1 / 11.0 GB | Full GPU | up to 32k | — | $999 launch MSRP |
| Apple M4 Max (40-core GPU) · 48 GB | Runs great | est. 66.5 tok/s53.2–79.8calibrated estimate ±20% | Q4_K_M | 6.8 / 33.6 GB | Unified memory | up to 32k | — | — |
| GeForce RTX 4090 Laptop | Runs great | est. 64.6 tok/s56.9–72.4calibrated estimate ±12% | Q4_K_M | 7.1 / 16.0 GB | Full GPU | up to 32k | — | — |
| GeForce RTX 4070 | Runs great | est. 56.6 tok/s49.8–63.3calibrated estimate ±12% | Q4_K_M | 7.1 / 12.0 GB | Full GPU | up to 32k | — | $599 launch MSRP |
| GeForce RTX 4070 Super | Runs great | est. 56.6 tok/s49.8–63.3calibrated estimate ±12% | Q4_K_M | 7.1 / 12.0 GB | Full GPU | up to 32k | — | $599 launch MSRP |
| Apple M5 Max (32-core GPU) · 36 GB | Runs great | est. 56.0 tok/s44.8–67.3calibrated estimate ±20% | Q4_K_M | 6.8 / 25.2 GB | Unified memory | up to 32k | — | — |
| GeForce GTX 1080 Ti | Runs great | est. 54.3 tok/s38.0–70.6theoretical estimate ±30% | Q4_K_M | 7.1 / 11.0 GB | Full GPU | up to 32k | — | $699 launch MSRP |
| GeForce RTX 3070 | Runs great | est. 50.3 tok/s44.2–56.3calibrated estimate ±12% | Q4_K_M | 7.1 / 8.0 GB | Full GPU | up to 8k | — | $499 launch MSRP |
| GeForce RTX 5060 | Runs great | est. 50.3 tok/s44.2–56.3calibrated estimate ±12% | Q4_K_M | 7.1 / 8.0 GB | Full GPU | up to 8k | — | $339 street (as of 2026-08-09) |
| GeForce RTX 5060 Ti 16GB | Runs great | est. 50.3 tok/s44.2–56.3calibrated estimate ±12% | Q4_K_M | 7.1 / 16.0 GB | Full GPU | up to 32k | — | $569 street (as of 2026-08-09) |
| GeForce RTX 5060 Ti 8GB | Runs great | est. 50.3 tok/s44.2–56.3calibrated estimate ±12% | Q4_K_M | 7.1 / 8.0 GB | Full GPU | up to 8k | — | $429 street (as of 2026-08-09) |
| Apple M4 Max (32-core GPU) · 36 GB | Runs great | est. 50.0 tok/s40.0–59.9calibrated estimate ±20% | Q4_K_M | 6.8 / 25.2 GB | Unified memory | up to 32k | — | — |
| GeForce RTX 4080 Laptop | Runs great | est. 48.5 tok/s42.7–54.3calibrated estimate ±12% | Q4_K_M | 7.1 / 12.0 GB | Full GPU | up to 32k | — | — |
| Intel Arc B580 | Runs great | est. 43.1 tok/s34.5–51.8calibrated estimate ±20% | Q4_K_M | 7.1 / 12.0 GB | Full GPU | up to 16k | — | $290 street (as of 2026-08-09) |
| GeForce RTX 3060 12GB | Runs great | est. 40.4 tok/s35.6–45.2calibrated estimate ±12% | Q4_K_M | 7.1 / 12.0 GB | Full GPU | up to 16k | — | $250 street (as of 2026-08-09) |
| Radeon RX 9060 XT 16GB | Runs great | est. 39.2 tok/s34.5–43.9calibrated estimate ±12% | Q4_K_M | 7.1 / 16.0 GB | Full GPU | up to 16k | — | $449 street (as of 2026-08-09) |
| Apple M5 Pro · 24 GB | Runs great | est. 37.4 tok/s29.9–44.9calibrated estimate ±20% | Q4_K_M | 6.8 / 16.8 GB | Unified memory | up to 16k | — | — |
| NVIDIA DGX Spark · 64 GB | Runs great | est. 34.1 tok/s27.3–41.0calibrated estimate ±20% | Q4_K_M | 6.8 / 48.2 GB | Unified memory | up to 8k | — | $3,999 launch MSRP (128 GB) |
| Ryzen AI Max+ 395 (Strix Halo) · 32 GB | Runs great | est. 33.7 tok/s26.9–40.4calibrated estimate ±20% | Q4_K_M | 6.8 / 22.4 GB | Unified memory | up to 8k | — | $1,999 launch MSRP (128 GB) |
| Apple M4 Pro · 24 GB | Runs great | est. 33.3 tok/s26.6–39.9calibrated estimate ±20% | Q4_K_M | 6.8 / 16.8 GB | Unified memory | up to 8k | — | — |
| GeForce RTX 4060 Ti 16GB | Runs great | est. 32.3 tok/s28.4–36.2calibrated estimate ±12% | Q4_K_M | 7.1 / 16.0 GB | Full GPU | up to 8k | — | $499 launch MSRP |
| GeForce RTX 4060 Ti 8GB | Runs great | est. 32.3 tok/s28.4–36.2calibrated estimate ±12% | Q4_K_M | 7.1 / 8.0 GB | Full GPU | up to 8k | — | $399 launch MSRP |
| GeForce RTX 4060 | Runs great | est. 30.5 tok/s26.9–34.2calibrated estimate ±12% | Q4_K_M | 7.1 / 8.0 GB | Full GPU | up to 8k | — | $299 launch MSRP |
| GeForce RTX 4060 Laptop | Runs well | est. 28.7 tok/s25.3–32.2calibrated estimate ±12% | Q4_K_M | 7.1 / 8.0 GB | Full GPU | up to 8k |
| — |
| GeForce RTX 4070 Laptop | Runs well | est. 28.7 tok/s25.3–32.2calibrated estimate ±12% | Q4_K_M | 7.1 / 8.0 GB | Full GPU | up to 8k |
| — |
| GeForce RTX 3050 8GB | Runs well | est. 25.1 tok/s22.1–28.2calibrated estimate ±12% | Q4_K_M | 7.1 / 8.0 GB | Full GPU | up to 8k |
| $249 launch MSRP |
| Apple M5 · 16 GB | Runs well | est. 18.7 tok/s15.0–22.5calibrated estimate ±20% | Q4_K_M | 6.8 / 11.2 GB | Unified memory | up to 16k | — | — |
| Apple M6 · 16 GB | Runs well | est. 18.7 tok/s15.0–22.5calibrated estimate ±20% | Q4_K_M | 6.8 / 11.2 GB | Unified memory | up to 16k | — | — |
| Apple M4 · 16 GB | Runs well | est. 14.6 tok/s11.7–17.5calibrated estimate ±20% | Q4_K_M | 6.8 / 11.2 GB | Unified memory | up to 16k | — | — |
| DDR5-6000 dual-channel CPU · 16 GB | Runs slowly | est. 7.7 tok/s6.2–9.2calibrated estimate ±20% | Q4_K_M | 6.2 GB RAM | CPU only | up to 32k | — | — |
| DDR5-5600 dual-channel CPU · 16 GB | Runs slowly | est. 7.2 tok/s5.7–8.6calibrated estimate ±20% | Q4_K_M | 6.2 GB RAM | CPU only | up to 32k | — | — |
| DDR4-3200 dual-channel CPU · 16 GB | Runs slowly | est. 4.1 tok/s3.3–4.9calibrated estimate ±20% | Q4_K_M | 6.2 GB RAM | CPU only | up to 16k | — | — |
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.
Cheapest GPUs that run it
- Runs greatGeForce RTX 3060 12GB$250 street (as of 2026-08-09), est. 40.4 tok/s (35.6–45.2, calibrated estimate ±12%).
Measured results for DeepSeek R1 0528 Qwen3 8B
No public measurements for this model yet.
Frequently asked questions
How much VRAM does DeepSeek R1 0528 Qwen3 8B need?
At Q4_K_M the file is 5.03 GB; with 8k context a graphics card needs about 6.5 GB (weights 4.67 GB, KV cache 1.2 GB, compute buffer 0.6 GB). The smallest tracked file (Q2_K (heavy quality loss)) needs about 4.9 GB. Part of the file stays off the graphics card: llama.cpp keeps the input embedding table in system RAM. A Mac counts the whole file, so it needs a little more.
What is the cheapest GPU that runs DeepSeek R1 0528 Qwen3 8B well?
Cheapest that runs it great: GeForce RTX 3060 12GB at $250 (street price as of 2026-08-09), est. 40.4 tok/s (35.6–45.2, calibrated estimate ±12%).
Can DeepSeek R1 0528 Qwen3 8B run on an 8 GB, 16 GB or 24 GB GPU?
At Q4_K_M with 8k context: GeForce RTX 4060 — Runs great, est. 30.5 tok/s (26.9–34.2, calibrated estimate ±12%); GeForce RTX 5060 Ti 16GB — Runs great, est. 50.3 tok/s (44.2–56.3, calibrated estimate ±12%); GeForce RTX 3090 — Runs great, est. 105.0 tok/s (92.4–117.6, 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.