DeepSeek R1 vs Claude Haiku 4.5
Which is better in 2026?
DeepSeek R1
86
Veltrix Score
vs
Claude Haiku 4.5
83
Veltrix Score
Detailed Scores
DeepSeek R1 — Scores
Coding90
Reasoning93
Creativity75
Speed70
Cost Efficiency90
Context: 128K tokens
API: $0.55 / $2.19 per 1M tokens
Claude Haiku 4.5 — Scores
Coding80
Reasoning78
Creativity75
Speed95
Cost Efficiency92
Context: 200K tokens
API: $1 / $5 per 1M tokens
Key Differences
| Aspect | DeepSeek R1 | Claude Haiku 4.5 |
|---|---|---|
| Veltrix Score | 86/100 | 83/100 |
| Context Window | 128K tokens | 200K tokens |
| API Cost (input/output per 1M) | $0.55 / $2.19 | $1 / $5 |
| Coding | 90/100 | 80/100 |
| Reasoning | 93/100 | 78/100 |
| Speed | 70/100 | 95/100 |
Best for — DeepSeek R1
- +Code generation and review
- +Complex reasoning tasks
- +Cost-efficient at scale
Best for — Claude Haiku 4.5
- +Code generation and review
- +Fast response times
- +Cost-efficient at scale
Analysis
DeepSeek R1 and Claude Haiku 4.5 are both popular choices in the llm space. With Veltrix Scores of 86 and 83 respectively, they are closely matched overall.
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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