DeepSeek R1 vs GPT-4.5
Which is better in 2026?
DeepSeek R1
86
Veltrix Score
vs
GPT-4.5
72
Veltrix Score
Detailed Scores
DeepSeek R1 — Scores
Coding90
Reasoning93
Creativity75
Speed70
Cost Efficiency90
Context: 128K tokens
API: $0.55 / $2.19 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 R1 | GPT-4.5 |
|---|---|---|
| Veltrix Score | 86/100 | 72/100 |
| Context Window | 128K tokens | 128K tokens |
| API Cost (input/output per 1M) | $0.55 / $2.19 | $75 / $150 |
| Coding | 90/100 | 86/100 |
| Reasoning | 93/100 | 91/100 |
| Speed | 70/100 | 60/100 |
Best for — DeepSeek R1
- +Code generation and review
- +Complex reasoning tasks
- +Cost-efficient at scale
Best for — GPT-4.5
- +Code generation and review
- +Complex reasoning tasks
- +Creative writing
Analysis
DeepSeek R1 and GPT-4.5 are both popular choices in the llm space. DeepSeek R1 currently leads with a Veltrix Score of 86 compared to 72 for GPT-4.5.
In coding benchmarks, DeepSeek R1 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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