DeepSeek R1 vs Claude Opus 4.6
Which is better in 2026?
DeepSeek R1
86
Veltrix Score
vs
Claude Opus 4.6
85
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 Opus 4.6 — Scores
Coding95
Reasoning97
Creativity96
Speed71
Cost Efficiency61
Context: 1000K tokens
API: $5 / $25 per 1M tokens
Key Differences
| Aspect | DeepSeek R1 | Claude Opus 4.6 |
|---|---|---|
| Veltrix Score | 86/100 | 85/100 |
| Context Window | 128K tokens | 1000K tokens |
| API Cost (input/output per 1M) | $0.55 / $2.19 | $5 / $25 |
| Coding | 90/100 | 95/100 |
| Reasoning | 93/100 | 97/100 |
| Speed | 70/100 | 71/100 |
Best for — DeepSeek R1
- +Code generation and review
- +Complex reasoning tasks
- +Cost-efficient at scale
Best for — Claude Opus 4.6
- +Code generation and review
- +Complex reasoning tasks
- +Creative writing
Analysis
DeepSeek R1 and Claude Opus 4.6 are both popular choices in the llm space. With Veltrix Scores of 86 and 85 respectively, they are closely matched overall.
In coding benchmarks, Claude Opus 4.6 takes the lead. For reasoning tasks, Claude Opus 4.6 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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