Llama 4 Scout vs DeepSeek R1
Which is better in 2026?
Llama 4 Scout
88
Veltrix Score
vs
DeepSeek R1
86
Veltrix Score
Detailed Scores
Llama 4 Scout — Scores
Coding84
Reasoning88
Creativity80
Speed82
Cost Efficiency99
Context: 10000K tokens
API: $0 / $0 per 1M tokens
DeepSeek R1 — Scores
Coding90
Reasoning93
Creativity75
Speed70
Cost Efficiency90
Context: 128K tokens
API: $0.55 / $2.19 per 1M tokens
Key Differences
| Aspect | Llama 4 Scout | DeepSeek R1 |
|---|---|---|
| Veltrix Score | 88/100 | 86/100 |
| Context Window | 10000K tokens | 128K tokens |
| API Cost (input/output per 1M) | $0 / $0 | $0.55 / $2.19 |
| Coding | 84/100 | 90/100 |
| Reasoning | 88/100 | 93/100 |
| Speed | 82/100 | 70/100 |
Best for — Llama 4 Scout
- +Code generation and review
- +Complex reasoning tasks
- +Creative writing
- +Fast response times
- +Cost-efficient at scale
Best for — DeepSeek R1
- +Code generation and review
- +Complex reasoning tasks
- +Cost-efficient at scale
Analysis
Llama 4 Scout and DeepSeek R1 are both popular choices in the llm space. With Veltrix Scores of 88 and 86 respectively, they are closely matched overall.
In coding benchmarks, DeepSeek R1 takes the lead. For reasoning tasks, DeepSeek R1 performs stronger.
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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