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Gemini 2.5 Pro vs Llama 3.1 70B Instruct
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 41.3% higher average benchmark score. Gemini 2.5 Pro offers 858.1K more tokens in context window than Llama 3.1 70B Instruct. Llama 3.1 70B Instruct is $10.85 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. Llama 3.1 70B 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 70B was created as a balanced open-source model, designed to provide strong performance with 70 billion parameters while remaining practical for many deployment scenarios. Built to serve as a versatile foundation for fine-tuning and application development, it combines capability with accessibility in the open-source ecosystem.
10 months newer
Llama 3.1 70B 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 70B Instruct
Input:$0.20
Output:$0.20($10.85 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%(+41.3%)
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Llama 3.1 70B Instruct
Average Score:41.7%
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Knowledge Cutoff
Training data recency comparison
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%(+41.3%)
Providers:2
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Llama 3.1 70B Instruct
Avg Score:41.7%
Providers:9