DeepSeek V3 vs Claude Haiku 4.5
Which is better in 2026?
DeepSeek V3
87
Veltrix Score
vs
Claude Haiku 4.5
83
Veltrix Score
Detailed Scores
DeepSeek V3 — Scores
Coding88
Reasoning86
Creativity78
Speed82
Cost Efficiency95
Context: 164K tokens
API: $0.27 / $1.1 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 V3 | Claude Haiku 4.5 |
|---|---|---|
| Veltrix Score | 87/100 | 83/100 |
| Context Window | 164K tokens | 200K tokens |
| API Cost (input/output per 1M) | $0.27 / $1.1 | $1 / $5 |
| Coding | 88/100 | 80/100 |
| Reasoning | 86/100 | 78/100 |
| Speed | 82/100 | 95/100 |
Best for — DeepSeek V3
- +Code generation and review
- +Complex reasoning tasks
- +Fast response times
- +Cost-efficient at scale
Best for — Claude Haiku 4.5
- +Code generation and review
- +Fast response times
- +Cost-efficient at scale
Analysis
DeepSeek V3 and Claude Haiku 4.5 are both popular choices in the llm space. DeepSeek V3 currently leads with a Veltrix Score of 87 compared to 83 for Claude Haiku 4.5.
In coding benchmarks, DeepSeek V3 takes the lead. For reasoning tasks, DeepSeek V3 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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