Auto-generated comparison

DeepSeek: R1 0528 vs NVIDIA: Llama 3.1 Nemotron Ultra 253B v1

DeepSeek: R1 0528 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityDeepSeek: R1 0528NVIDIA: Llama 3.1 Nemotron Ultra 253B v1Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
164K131K🏆 DeepSeek: R1 0528
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.50$0.60🏆 DeepSeek: R1 0528
Output price (per 1M)
Cost per million output tokens billed by the provider.
$2.15$1.80🏆 NVIDIA: Llama 3.1 Nemotron Ultra 253B v1
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 DeepSeek: R1 0528
Vision input
Accepts image inputs alongside text.
Tie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
YesYesTie

Frequently asked questions

Is DeepSeek: R1 0528 better than NVIDIA: Llama 3.1 Nemotron Ultra 253B v1?

DeepSeek: R1 0528 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between DeepSeek: R1 0528 and NVIDIA: Llama 3.1 Nemotron Ultra 253B v1?

Input: $0.50 vs $0.60 per 1M tokens. Output: $2.15 vs $1.80 per 1M tokens.

What context windows do DeepSeek: R1 0528 and NVIDIA: Llama 3.1 Nemotron Ultra 253B v1 support?

DeepSeek: R1 0528 supports up to 164K tokens. NVIDIA: Llama 3.1 Nemotron Ultra 253B v1 supports up to 131K tokens.

Do both DeepSeek: R1 0528 and NVIDIA: Llama 3.1 Nemotron Ultra 253B v1 support tool calling?

DeepSeek: R1 0528: yes. NVIDIA: Llama 3.1 Nemotron Ultra 253B v1: not advertised.

Compare DeepSeek: R1 0528 with other models

Compare NVIDIA: Llama 3.1 Nemotron Ultra 253B v1 with other models