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Gemini 2.5 Pro Preview 06-05 vs Llama 4 Maverick
Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 1.7% higher average benchmark score. Llama 4 Maverick offers 885.9K more tokens in context window than Gemini 2.5 Pro Preview 06-05. Llama 4 Maverick is $10.48 cheaper per million tokens. Llama 4 Maverick is available on 7 providers. Both models have their strengths depending on your specific coding needs.
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Gemini 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
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Meta
Llama 4 Maverick is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.8% across 13 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (92.3%), ChartQA (90.0%). With a 2.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 7 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.
2 months newer
Llama 4 Maverick
Meta
2025-04-05
Gemini 2.5 Pro Preview 06-05
2025-06-05
Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.5 Pro Preview 06-05
Input:$1.25
Output:$10.00
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Llama 4 Maverick
Input:$0.17
Output:$0.60($10.48 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 23 common benchmarks
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Gemini 2.5 Pro Preview 06-05
Average Score:38.9%
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Llama 4 Maverick
Average Score:40.6%(+1.7%)
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Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Pro Preview 06-05
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 Preview 06-05
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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Llama 4 Maverick
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Gemini 2.5 Pro Preview 06-05
Avg Score:38.9%
Providers:1
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Llama 4 Maverick
Avg Score:40.6%(+1.7%)
Providers:7