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Gemini 2.5 Pro vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 18.0% higher average benchmark score. Llama 4 Scout offers 18.9M more tokens in context window than Gemini 2.5 Pro. Llama 4 Scout is $10.87 cheaper per million tokens. Llama 4 Scout is available on 6 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 4 Scout was created as an exploratory variant in the Llama 4 family, designed to investigate new architectures and optimization strategies. Built as part of Meta's commitment to advancing open-source AI, it serves as a testbed for innovations that may inform future model releases.
1 month newer
Llama 4 Scout
Meta
2025-04-05
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 4 Scout
Input:$0.08
Output:$0.30($10.87 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%(+18.0%)
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Llama 4 Scout
Average Score:63.3%
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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%(+18.0%)
Providers:2
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Llama 4 Scout
Avg Score:63.3%
Providers:6