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Gemini 1.0 Pro vs Llama 3.1 405B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.1 405B Instruct leads with 26.5% higher average benchmark score. Llama 3.1 405B Instruct offers 215.0K more tokens in context window than Gemini 1.0 Pro. Both models have similar pricing. Llama 3.1 405B Instruct is available on 8 providers. Overall, Llama 3.1 405B Instruct is the stronger choice for coding tasks.
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Gemini 1.0 Pro was developed as Google's initial production-ready multimodal model, designed to handle text and provide strong performance across diverse tasks. Built to serve as a versatile foundation for applications requiring reliable language understanding and generation, it introduced the Gemini architecture to developers and enterprises.
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Meta
Llama 3.1 405B was developed as Meta's largest open-source language model, designed to provide frontier-level capabilities with 405 billion parameters. Built to demonstrate that open-source models can match proprietary systems in capability, it enables researchers and developers to experiment with and deploy a powerful foundation model without licensing restrictions.
5 months newer
Gemini 1.0 Pro
2024-02-15
Llama 3.1 405B Instruct
Meta
2024-07-23
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.0 Pro
Input:$0.50
Output:$1.50
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Llama 3.1 405B Instruct
Input:$0.89
Output:$0.89($0.22 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Gemini 1.0 Pro
Average Score:44.1%
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Llama 3.1 405B Instruct
Average Score:70.6%(+26.5%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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Llama 3.1 405B Instruct
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Gemini 1.0 Pro
Avg Score:44.1%
Providers:1
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Llama 3.1 405B Instruct
Avg Score:70.6%(+26.5%)
Providers:8