DeepSeek R1 vs Nova Pro
Which is better in 2026?
DeepSeek R1
86
Veltrix Score
vs
Nova Pro
80
Veltrix Score
Detailed Scores
DeepSeek R1 — Scores
Coding90
Reasoning93
Creativity75
Speed70
Cost Efficiency90
Context: 128K tokens
API: $0.55 / $2.19 per 1M tokens
Nova Pro — Scores
Coding74
Reasoning80
Creativity72
Speed85
Cost Efficiency88
Context: 300K tokens
API: $0.8 / $3.2 per 1M tokens
Key Differences
| Aspect | DeepSeek R1 | Nova Pro |
|---|---|---|
| Veltrix Score | 86/100 | 80/100 |
| Context Window | 128K tokens | 300K tokens |
| API Cost (input/output per 1M) | $0.55 / $2.19 | $0.8 / $3.2 |
| Coding | 90/100 | 74/100 |
| Reasoning | 93/100 | 80/100 |
| Speed | 70/100 | 85/100 |
Best for — DeepSeek R1
- +Code generation and review
- +Complex reasoning tasks
- +Cost-efficient at scale
Best for — Nova Pro
- +Complex reasoning tasks
- +Fast response times
- +Cost-efficient at scale
Analysis
DeepSeek R1 and Nova Pro are both popular choices in the llm space. DeepSeek R1 currently leads with a Veltrix Score of 86 compared to 80 for Nova Pro.
In coding benchmarks, DeepSeek R1 takes the lead. For reasoning tasks, DeepSeek R1 performs stronger. For cost-conscious developers, DeepSeek R1 offers better value per token.
This comparison is generated from live Veltrix ranking data. Scores are updated multiple times per week as new benchmarks and user data become available.
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