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Gemini 1.0 Pro vs Llama 4 Maverick
Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 27.4% higher average benchmark score. Llama 4 Maverick offers 2.0M more tokens in context window than Gemini 1.0 Pro. Llama 4 Maverick is $1.23 cheaper per million tokens. Llama 4 Maverick supports multimodal inputs. Llama 4 Maverick is available on 7 providers. Overall, Llama 4 Maverick is the stronger choice for coding tasks.
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Gemini 1.0 Pro was developed as Google's initial production-ready multimodal model, designed to handle text and provide strong performance across diverse tasks. Built to serve as a versatile foundation for applications requiring reliable language understanding and generation, it introduced the Gemini architecture to developers and enterprises.
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Meta
Llama 4 Maverick was developed as a variant in Meta's fourth-generation language model family, designed to explore specialized capabilities and training approaches. Built to push the boundaries of open-source model development, it represents experimentation with advanced techniques in the Llama lineage.
1 year newer
Gemini 1.0 Pro
2024-02-15
Llama 4 Maverick
Meta
2025-04-05
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.0 Pro
Input:$0.50
Output:$1.50
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Llama 4 Maverick
Input:$0.17
Output:$0.60($1.23 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Gemini 1.0 Pro
Average Score:45.4%
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Llama 4 Maverick
Average Score:72.7%(+27.4%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
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 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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Llama 4 Maverick
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Gemini 1.0 Pro
Avg Score:45.4%
Providers:1
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Llama 4 Maverick
Avg Score:72.7%(+27.4%)
Providers:7