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Claude Haiku 4.5 vs DeepSeek R1 Zero
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Claude Haiku 4.5 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Anthropic
Claude Haiku 4.5 continues Anthropic's tradition of fast, efficient models in the fourth generation Claude family. Designed to maintain the hallmark speed and cost-effectiveness of the Haiku line while incorporating advancements from the Claude 4 series, it serves applications requiring rapid processing and quick turnaround times.
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DeepSeek
DeepSeek-R1-Zero was introduced as an experimental variant trained with minimal human supervision, designed to develop reasoning patterns through self-guided reinforcement learning. Built to explore how models can discover analytical strategies independently, it represents research into autonomous reasoning capability development.
8 months newer
DeepSeek R1 Zero
DeepSeek
2025-01-20
Claude Haiku 4.5
Anthropic
2025-10-15
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Claude Haiku 4.5
Average Score:73.0%
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DeepSeek R1 Zero
Average Score:73.3%(+0.3%)
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Knowledge Cutoff
Training data recency comparison
Claude Haiku 4.5
2025-02-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Claude Haiku 4.5
1 providers
Anthropic
Throughput: 100 tok/s
Latency: 0.3ms
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DeepSeek R1 Zero
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Claude Haiku 4.5
Avg Score:73.0%
Providers:1
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DeepSeek R1 Zero
Avg Score:73.3%(+0.3%)
Providers:0