DeepSeek V3 vs GPT-4.5
Which is better in 2026?
DeepSeek V3
87
Veltrix Score
vs
GPT-4.5
72
Veltrix Score
Detailed Scores
DeepSeek V3 — Scores
Coding88
Reasoning86
Creativity78
Speed82
Cost Efficiency95
Context: 164K tokens
API: $0.27 / $1.1 per 1M tokens
GPT-4.5 — Scores
Coding86
Reasoning91
Creativity90
Speed60
Cost Efficiency28
Context: 128K tokens
API: $75 / $150 per 1M tokens
Key Differences
| Aspect | DeepSeek V3 | GPT-4.5 |
|---|---|---|
| Veltrix Score | 87/100 | 72/100 |
| Context Window | 164K tokens | 128K tokens |
| API Cost (input/output per 1M) | $0.27 / $1.1 | $75 / $150 |
| Coding | 88/100 | 86/100 |
| Reasoning | 86/100 | 91/100 |
| Speed | 82/100 | 60/100 |
Best for — DeepSeek V3
- +Code generation and review
- +Complex reasoning tasks
- +Fast response times
- +Cost-efficient at scale
Best for — GPT-4.5
- +Code generation and review
- +Complex reasoning tasks
- +Creative writing
Analysis
DeepSeek V3 and GPT-4.5 are both popular choices in the llm space. DeepSeek V3 currently leads with a Veltrix Score of 87 compared to 72 for GPT-4.5.
In coding benchmarks, DeepSeek V3 takes the lead. For reasoning tasks, GPT-4.5 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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