Gemini 2.5 Flash vs DeepSeek V3
Which is better in 2026?
Gemini 2.5 Flash
88
Veltrix Score
vs
DeepSeek V3
87
Veltrix Score
Detailed Scores
Gemini 2.5 Flash — Scores
Coding87
Reasoning88
Creativity84
Speed95
Cost Efficiency88
Context: 1000K tokens
API: $0.3 / $2.5 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 | Gemini 2.5 Flash | DeepSeek V3 |
|---|---|---|
| Veltrix Score | 88/100 | 87/100 |
| Context Window | 1000K tokens | 164K tokens |
| API Cost (input/output per 1M) | $0.3 / $2.5 | $0.27 / $1.1 |
| Coding | 87/100 | 88/100 |
| Reasoning | 88/100 | 86/100 |
| Speed | 95/100 | 82/100 |
Best for — Gemini 2.5 Flash
- +Code generation and review
- +Complex reasoning tasks
- +Creative writing
- +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
Gemini 2.5 Flash 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, DeepSeek V3 takes the lead. For reasoning tasks, Gemini 2.5 Flash 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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