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Gemini 1.5 Pro vs Llama-3.3 Nemotron Super 49B v1
Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 38.0% higher average benchmark score. Gemini 1.5 Pro supports multimodal inputs. Overall, Gemini 1.5 Pro is the stronger choice for coding tasks.
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Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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 2024, it represents Google's latest advancement in AI technology.
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NVIDIA
Llama-3.3 Nemotron Super 49B v1 is a language model developed by NVIDIA. This model demonstrates exceptional performance with an average score of 81.0% across 7 benchmarks. It excels particularly in MATH-500 (96.6%), MT-Bench (91.7%), MBPP (91.3%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
10 months newer
Gemini 1.5 Pro
2024-05-01
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
Performance Metrics
Context window and performance specifications
Average performance across 29 common benchmarks
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Gemini 1.5 Pro
Average Score:57.6%(+38.0%)
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Llama-3.3 Nemotron Super 49B v1
Average Score:19.5%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Pro
2023-11-01
Llama-3.3 Nemotron Super 49B v1
2023-12-31
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 1.5 Pro
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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Llama-3.3 Nemotron Super 49B v1
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Gemini 1.5 Pro
Avg Score:57.6%(+38.0%)
Providers:1
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Llama-3.3 Nemotron Super 49B v1
Avg Score:19.5%
Providers:0