DeepSeek R1 Distill Qwen 7B.
7B distilled R1 — runs on any modern GPU.
1× Nvidia P102-100.
Most-aggressive quantisation we have a working recommendation for. Lower precision = less VRAM = cheaper hardware, at a small accuracy cost.
Cheapest hosted endpoints.
Variants in the DeepSeek family.
DeepSeek V3
DeepSeek's flagship MoE — 671B total, 37B active, frontier-class.
DeepSeek R1
DeepSeek's reasoning model — RL-trained, frontier-class, MIT-licensed.
DeepSeek R1 Distill Llama 70B
70B Llama distilled from DeepSeek R1's reasoning traces.
DeepSeek R1 Distill Qwen 32B
32B Qwen base distilled from DeepSeek R1.
DeepSeek R1 Distill Qwen 14B
14B distilled R1 — laptop-friendly reasoning.
DeepSeek R1 Distill Qwen 1.5B
Tiny distilled R1 — phone / browser deployable.
Frequently asked.
How do I run DeepSeek R1 Distill Qwen 7B?
Where can I access DeepSeek R1 Distill Qwen 7B?
How much does it cost to run DeepSeek R1 Distill Qwen 7B?
Is DeepSeek R1 Distill Qwen 7B open-source or proprietary?
Cheapest hardware per quantisation.
Each row is one quantisation tier (the same weights compressed differently). Lower precision → lower VRAM → cheaper hardware, at the cost of small accuracy loss. $/hr refreshed hourly from each provider's API.
| Quantisation | Cheapest GPU config | Total VRAM | Live $/hr | tokens/sec | |
|---|---|---|---|---|---|
|
FP16
FP16 — half precision (default)
|
24 GB | — | — | Compare → | |
|
FP8
FP8 — 8-bit float (Hopper / Blackwell)
|
10 GB | — | — | Compare → | |
|
INT8
INT8 — 8-bit integer
|
Slow but workable on 16GB T4.
|
16 GB | $0.070/hr | — | Compare → |
|
INT4
INT4 — 4-bit integer (~4× VRAM saving)
|
5 GB | — | — | Compare → |
What it costs per month across providers.
Estimate your monthly bill for DeepSeek R1 Distill Qwen 7B across every host that publishes per-token pricing. Slide your token volumes; the chart + table re-rank cheapest-first.
No priced API access rows on file for DeepSeek R1 Distill Qwen 7B yet.
Rent the GPU instead of paying per token.
For an open-weights model like DeepSeek R1 Distill Qwen 7B, you can rent a GPU and serve inference yourself. The math: cheapest GPU rental × 730 hours/month + your electricity rate × power draw.
Assumes the GPU runs 24/7 at ~85% utilisation. If your traffic is bursty, you'll pay less for the API and probably more for the GPU (idle hours still cost rental). The breakeven analysis lives on the Self-host vs API breakeven tool.
What it's best at.
Scores normalised against benchmark ceilings (100 = perfect). Coloured by tier — coral 80+ frontier, lavender 65+ strong, sage 50+ solid, slate below.
About DeepSeek R1 Distill Qwen 7B.
DeepSeek R1 Distill Qwen 7B runs on any GPU with ≥16 GB VRAM (RTX 3060 / 4060 Ti / 4070). Still hits 91+ on MATH despite the size. Default open-weight reasoning model for laptop / edge deployments.