DeepSeek V3 vs Nova Pro
Which is better in 2026?
DeepSeek V3
87
Veltrix Score
vs
Nova Pro
80
Veltrix Score
Detailed Scores
DeepSeek V3 — Scores
Coding88
Reasoning86
Creativity78
Speed82
Cost Efficiency95
Context: 164K tokens
API: $0.27 / $1.1 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 V3 | Nova Pro |
|---|---|---|
| Veltrix Score | 87/100 | 80/100 |
| Context Window | 164K tokens | 300K tokens |
| API Cost (input/output per 1M) | $0.27 / $1.1 | $0.8 / $3.2 |
| Coding | 88/100 | 74/100 |
| Reasoning | 86/100 | 80/100 |
| Speed | 82/100 | 85/100 |
Best for — DeepSeek V3
- +Code generation and review
- +Complex reasoning tasks
- +Fast response times
- +Cost-efficient at scale
Best for — Nova Pro
- +Complex reasoning tasks
- +Fast response times
- +Cost-efficient at scale
Analysis
DeepSeek V3 and Nova Pro are both popular choices in the llm space. DeepSeek V3 currently leads with a Veltrix Score of 87 compared to 80 for Nova Pro.
In coding benchmarks, DeepSeek V3 takes the lead. For reasoning tasks, DeepSeek V3 performs stronger. For cost-conscious developers, DeepSeek V3 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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