DeepSeek V3 vs o3-mini
Which is better in 2026?
DeepSeek V3
87
Veltrix Score
vs
o3-mini
84
Veltrix Score
Detailed Scores
DeepSeek V3 — Scores
Coding88
Reasoning86
Creativity78
Speed82
Cost Efficiency95
Context: 164K tokens
API: $0.27 / $1.1 per 1M tokens
o3-mini — Scores
Coding90
Reasoning92
Creativity71
Speed82
Cost Efficiency79
Context: 200K tokens
API: $1.1 / $4.4 per 1M tokens
Key Differences
| Aspect | DeepSeek V3 | o3-mini |
|---|---|---|
| Veltrix Score | 87/100 | 84/100 |
| Context Window | 164K tokens | 200K tokens |
| API Cost (input/output per 1M) | $0.27 / $1.1 | $1.1 / $4.4 |
| Coding | 88/100 | 90/100 |
| Reasoning | 86/100 | 92/100 |
| Speed | 82/100 | 82/100 |
Best for — DeepSeek V3
- +Code generation and review
- +Complex reasoning tasks
- +Fast response times
- +Cost-efficient at scale
Best for — o3-mini
- +Code generation and review
- +Complex reasoning tasks
- +Fast response times
Analysis
DeepSeek V3 and o3-mini are both popular choices in the llm space. With Veltrix Scores of 87 and 84 respectively, they are closely matched overall.
In coding benchmarks, o3-mini takes the lead. For reasoning tasks, o3-mini 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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