DeepSeek R1 vs o3-mini
Which is better in 2026?
DeepSeek R1
86
Veltrix Score
vs
o3-mini
84
Veltrix Score
Detailed Scores
DeepSeek R1 — Scores
Coding90
Reasoning93
Creativity75
Speed70
Cost Efficiency90
Context: 128K tokens
API: $0.55 / $2.19 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 R1 | o3-mini |
|---|---|---|
| Veltrix Score | 86/100 | 84/100 |
| Context Window | 128K tokens | 200K tokens |
| API Cost (input/output per 1M) | $0.55 / $2.19 | $1.1 / $4.4 |
| Coding | 90/100 | 90/100 |
| Reasoning | 93/100 | 92/100 |
| Speed | 70/100 | 82/100 |
Best for — DeepSeek R1
- +Code generation and review
- +Complex reasoning tasks
- +Cost-efficient at scale
Best for — o3-mini
- +Code generation and review
- +Complex reasoning tasks
- +Fast response times
Analysis
DeepSeek R1 and o3-mini are both popular choices in the llm space. With Veltrix Scores of 86 and 84 respectively, they are closely matched overall.
In coding benchmarks, o3-mini 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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