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Gemini 1.5 Pro vs Llama 3.1 405B Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Gemini 1.5 Pro offers 1.8M more tokens in context window than Llama 3.1 405B Instruct. Llama 3.1 405B Instruct is $10.72 cheaper per million tokens. Gemini 1.5 Pro supports multimodal inputs. Llama 3.1 405B Instruct is available on 8 providers. Both models have their strengths depending on your specific coding needs.
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Gemini 1.5 Pro was introduced as Google's advanced multimodal model with an expanded context window, designed to comprehend and reason across long documents, videos, and audio. Built to handle complex, information-rich tasks, it brought breakthrough capabilities in processing extended context while maintaining high-quality reasoning and generation.
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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.
2 months newer
Gemini 1.5 Pro
2024-05-01
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 1.5 Pro
Input:$2.50
Output:$10.00
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Llama 3.1 405B Instruct
Input:$0.89
Output:$0.89($10.72 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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Gemini 1.5 Pro
Average Score:79.6%(+0.2%)
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Llama 3.1 405B Instruct
Average Score:79.4%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Pro
2023-11-01
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 1.5 Pro
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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Llama 3.1 405B Instruct
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Gemini 1.5 Pro
Avg Score:79.6%(+0.2%)
Providers:1
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Llama 3.1 405B Instruct
Avg Score:79.4%
Providers:8