DeepSeek R1 Distill Llama 70B vs NVIDIA Nemotron 3 Ultra 550B A55B NVFP4
On provider list prices, DeepSeek R1 Distill Llama 70B costs $2 per million input tokens against $0.60 for NVIDIA Nemotron 3 Ultra 550B A55B NVFP4: effectively level. Output is $2 against $3.60 (1.8x). On Allocate both bill at list plus the 7% transaction fee.
Specifications and provider list prices from the Allocate catalog, checked 2026-07-08. Billed price is list plus the 7% transaction fee.
What the numbers say
Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $1,980 a month on NVIDIA Nemotron 3 Ultra 550B A55B NVFP4 and $3,100 on DeepSeek R1 Distill Llama 70B at list: a gap of $1,120, or 1.6x.
NVIDIA Nemotron 3 Ultra 550B A55B NVFP4 reads 512K tokens per request against 128K for DeepSeek R1 Distill Llama 70B, 3.9x the window. That decides which one can take whole documents without splitting them.
Choose DeepSeek R1 Distill Llama 70B for
- Open weights you can fine-tune and own
- Fine-tuning under a permissive license (MIT)
Choose NVIDIA Nemotron 3 Ultra 550B A55B NVFP4 for
- The lower list price ($0.60 in / $3.60 out per M tokens)
- The longer context window (512K vs 128K tokens)
- Published cached-input pricing ($0.20 per M tokens)
Common questions
Which is cheaper, DeepSeek R1 Distill Llama 70B or NVIDIA Nemotron 3 Ultra 550B A55B NVFP4?
NVIDIA Nemotron 3 Ultra 550B A55B NVFP4, on this workload shape. At list prices it is $0.60/$3.60 per million tokens in and out against $2/$2 for DeepSeek R1 Distill Llama 70B. Billed on Allocate: $0.64/$3.85 against $2.14/$2.14, list plus 7%.
Which has the bigger context window?
NVIDIA Nemotron 3 Ultra 550B A55B NVFP4: 512,288 tokens (512K) against 131,072 (128K) for DeepSeek R1 Distill Llama 70B.
Can I fine-tune DeepSeek R1 Distill Llama 70B or NVIDIA Nemotron 3 Ultra 550B A55B NVFP4?
DeepSeek R1 Distill Llama 70B publishes open weights (MIT) and can be fine-tuned on your own data. NVIDIA Nemotron 3 Ultra 550B A55B NVFP4 is a closed model served over API; its weights are not available.
Related comparisons
Run the numbers on your workload
Or don’t choose. On Allocate a route name is the contract: point yours at one model today, swap to the other tomorrow, and compare them on your live traffic with per-token metering.