DeepSeek · 671B parameters · 163.8K context · commercial OK
Local (your GPU) $0 · ~453 GB VRAM | Rent a GPU from $9.73/hr | Your API key $1.60/1M |
Best next step
Already have 453 GB of VRAM? Run Q4_K_M locally for $0 compute. Check the exact hardware fit →
No matching GPU? For a 4,000-token prompt + 2,000-token answer, an API is about $0.0078 — no GPU setup. Open the API option →
Decision basis: 4,000 input + 2,000 output tokens, prices checked 2026-07-27. API estimates never beat a real price here; referral status never changes the winner.
Novita AI offers model APIs and GPU instances. We do not include its prices in Spanvero's ranking yet, so compare Novita's current price and fit yourself.
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671B MoE reasoning model (~37B active, 256 experts) with long chain-of-thought and MLA. MIT-licensed; cloud/cluster territory.
$1.6/1M blended input + output
Published price logged daily since June 20, 2026. See the full price record.
DeepSeek-R1 needs more memory than any of our consumer hardware presets — running it locally means multi-GPU or workstation territory, so the API price is the honest baseline here.
Local is never $0 — every figure here includes electricity and hardware amortization. Speeds come from published 7-8B Q4 benchmarks (your model, quant, and context will differ); break-even volumes are rounded to 2 significant figures.
| Parameters | 671B |
|---|---|
| Context window | 163.8K tokens |
| Recommended quant | Q4_K_M |
| VRAM requirement | ~453 GB (at Q4_K_M, 16.4K context) |
| Download size | ~1342 GB |
| License | Commercial use OK |
Open the free Spanvero advisor → for the live, interactive math for your exact workload and hardware.
Three ways: $0 on your own machine if you have about 453 GB of VRAM (at Q4_K_M); a rented GPU from $9.73/hr (7× NVIDIA A100 80GB PCIe at the direct RunPod price); or about $1.60 per 1M blended tokens via your own API key (real price as of 2026-07-27). Spanvero adds $0 markup on every path.
Only with serious hardware: at Q4_K_M, DeepSeek-R1 needs about 453 GB of VRAM/unified memory — more than any consumer GPU or Mac we track — so local means multi-GPU workstation territory. Most people use a rented GPU or their own API key instead.
No single consumer GPU we track holds DeepSeek-R1 — it needs about 453 GB at Q4_K_M. That is multi-GPU, cluster, or API territory.
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Spanvero · What's new · Prices as of 2026-07-27. We're an honest advisor — $0 markup, your own accounts, we never resell compute. © 2026 Cynosure LLC.
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