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Gemini 2.5 Pro vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 50.2% higher average benchmark score. Gemini 2.5 Pro offers 858.1K more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $11.22 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. 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 3B was created as an ultra-compact open-source model, designed to enable on-device and edge deployment scenarios. Built with just 3 billion parameters while retaining instruction-following abilities, it brings Meta's language technology to mobile devices, IoT applications, and resource-constrained environments.
7 months newer
Llama 3.2 3B 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 3B Instruct
Input:$0.01
Output:$0.02($11.22 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%(+50.2%)
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Llama 3.2 3B Instruct
Average Score:32.8%
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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%(+50.2%)
Providers:2
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Llama 3.2 3B Instruct
Avg Score:32.8%
Providers:1