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Claude 3.5 Haiku vs Gemma 3n E2B Instructed LiteRT (Preview)
Comprehensive side-by-side LLM comparison
Claude 3.5 Haiku leads with 24.9% higher average benchmark score. Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs. Claude 3.5 Haiku is available on 3 providers. Overall, Claude 3.5 Haiku is the stronger choice for coding tasks.
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Anthropic
Claude 3.5 Haiku was developed as the next generation of Anthropic's fastest model, offering similar speed to Claude 3 Haiku while surpassing Claude 3 Opus on many intelligence benchmarks. Built with low latency, improved instruction following, and accurate tool use, it serves user-facing products, specialized sub-agent tasks, and data-heavy applications.
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Gemma 3N E2B IT LiteRT Preview was introduced as an experimental version optimized for LiteRT deployment, designed to push the boundaries of on-device AI. Built to demonstrate the potential of running instruction-tuned models on mobile and edge devices, it represents ongoing efforts to make AI more accessible across hardware platforms.
7 months newer
Claude 3.5 Haiku
Anthropic
2024-10-22
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
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Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Claude 3.5 Haiku
Average Score:72.7%(+24.9%)
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Gemma 3n E2B Instructed LiteRT (Preview)
Average Score:47.8%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
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 3.5 Haiku
3 providers
Anthropic
Throughput: 100 tok/s
Latency: 0.3ms
Bedrock
Throughput: 104 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.4ms
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Claude 3.5 Haiku
Avg Score:72.7%(+24.9%)
Providers:3
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Gemma 3n E2B Instructed LiteRT (Preview)
Avg Score:47.8%
Providers:0