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Gemini 2.5 Pro vs Llama 3.2 90B Instruct
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 27.8% higher average benchmark score. Gemini 2.5 Pro offers 858.1K more tokens in context window than Llama 3.2 90B Instruct. Llama 3.2 90B Instruct is $10.50 cheaper per million tokens. Llama 3.2 90B Instruct is available on 5 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 3.2 90B was developed as a flagship-tier open-source model, designed to provide advanced capabilities with 90 billion parameters. Built to serve applications requiring high-quality reasoning and generation, it represents a powerful option within the Llama 3.2 series for demanding tasks.
7 months newer
Llama 3.2 90B Instruct
Meta
2024-09-25
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 3.2 90B Instruct
Input:$0.35
Output:$0.40($10.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemini 2.5 Pro
Average Score:81.3%(+27.8%)
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Llama 3.2 90B Instruct
Average Score:53.5%
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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:81.3%(+27.8%)
Providers:2
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Llama 3.2 90B Instruct
Avg Score:53.5%
Providers:5