o4-mini vs DeepSeek V3
Which is better in 2026?
o4-mini
88
Veltrix Score
vs
DeepSeek V3
87
Veltrix Score
Detailed Scores
o4-mini — Scores
Coding92
Reasoning94
Creativity72
Speed90
Cost Efficiency86
Context: 200K tokens
API: $1.1 / $4.4 per 1M tokens
DeepSeek V3 — Scores
Coding88
Reasoning86
Creativity78
Speed82
Cost Efficiency95
Context: 164K tokens
API: $0.27 / $1.1 per 1M tokens
Key Differences
| Aspect | o4-mini | DeepSeek V3 |
|---|---|---|
| Veltrix Score | 88/100 | 87/100 |
| Context Window | 200K tokens | 164K tokens |
| API Cost (input/output per 1M) | $1.1 / $4.4 | $0.27 / $1.1 |
| Coding | 92/100 | 88/100 |
| Reasoning | 94/100 | 86/100 |
| Speed | 90/100 | 82/100 |
Best for — o4-mini
- +Code generation and review
- +Complex reasoning tasks
- +Fast response times
- +Cost-efficient at scale
Best for — DeepSeek V3
- +Code generation and review
- +Complex reasoning tasks
- +Fast response times
- +Cost-efficient at scale
Analysis
o4-mini and DeepSeek V3 are both popular choices in the llm space. With Veltrix Scores of 88 and 87 respectively, they are closely matched overall.
In coding benchmarks, o4-mini takes the lead. For reasoning tasks, o4-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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