DeepSeek V3 vs Gemini 2.5 Pro
Which is better in 2026?
DeepSeek V3
87
Veltrix Score
vs
Gemini 2.5 Pro
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
Gemini 2.5 Pro — Scores
Coding89
Reasoning91
Creativity87
Speed78
Cost Efficiency72
Context: 1000K tokens
API: $1.25 / $10 per 1M tokens
Key Differences
| Aspect | DeepSeek V3 | Gemini 2.5 Pro |
|---|---|---|
| Veltrix Score | 87/100 | 84/100 |
| Context Window | 164K tokens | 1000K tokens |
| API Cost (input/output per 1M) | $0.27 / $1.1 | $1.25 / $10 |
| Coding | 88/100 | 89/100 |
| Reasoning | 86/100 | 91/100 |
| Speed | 82/100 | 78/100 |
Best for — DeepSeek V3
- +Code generation and review
- +Complex reasoning tasks
- +Fast response times
- +Cost-efficient at scale
Best for — Gemini 2.5 Pro
- +Code generation and review
- +Complex reasoning tasks
- +Creative writing
Analysis
DeepSeek V3 and Gemini 2.5 Pro are both popular choices in the llm space. With Veltrix Scores of 87 and 84 respectively, they are closely matched overall.
In coding benchmarks, Gemini 2.5 Pro takes the lead. For reasoning tasks, Gemini 2.5 Pro 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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