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Gemini 2.5 Pro vs Llama 3.1 8B Instruct
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 52.6% higher average benchmark score. Gemini 2.5 Pro offers 852.0K more tokens in context window than Llama 3.1 8B Instruct. Llama 3.1 8B Instruct is $11.19 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. Llama 3.1 8B Instruct is available on 9 providers. Overall, Gemini 2.5 Pro is the stronger choice for coding tasks.
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Gemini 2.5 Pro was developed as Google's most intelligent AI model, designed to comprehend vast datasets and challenging problems from diverse information sources including text, audio, images, and video. Built to handle complex reasoning and multi-step problem solving, it represents Google's flagship offering for enterprise and advanced applications.
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Meta
Llama 3.1 8B was developed as an efficient open-source model, designed to bring capable instruction-following to applications with limited computational resources. Built with 8 billion parameters, it provides a lightweight option for developers seeking reliable performance without the overhead of larger models.
10 months newer
Llama 3.1 8B Instruct
Meta
2024-07-23
Gemini 2.5 Pro
2025-05-20
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.5 Pro
Input:$1.25
Output:$10.00
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Llama 3.1 8B Instruct
Input:$0.03
Output:$0.03($11.19 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemini 2.5 Pro
Average Score:83.0%(+52.6%)
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Llama 3.1 8B Instruct
Average Score:30.4%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 8B Instruct
2023-12-31
Gemini 2.5 Pro
2025-01-31
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 2.5 Pro
2 providers
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Gemini 2.5 Pro
Avg Score:83.0%(+52.6%)
Providers:2
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Llama 3.1 8B Instruct
Avg Score:30.4%
Providers:9