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Gemini 2.0 Flash-Lite vs Llama-3.3 Nemotron Super 49B v1
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash-Lite leads with 10.5% higher average benchmark score. Gemini 2.0 Flash-Lite supports multimodal inputs. Overall, Gemini 2.0 Flash-Lite is the stronger choice for coding tasks.
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Gemini 2.0 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in MATH (86.8%), FACTS Grounding (83.6%), Global-MMLU-Lite (78.2%). 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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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.
1 month newer
Gemini 2.0 Flash-Lite
2025-02-05
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
Performance Metrics
Context window and performance specifications
Average performance across 19 common benchmarks
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Gemini 2.0 Flash-Lite
Average Score:40.3%(+10.5%)
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Llama-3.3 Nemotron Super 49B v1
Average Score:29.8%
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Knowledge Cutoff
Training data recency comparison
Llama-3.3 Nemotron Super 49B v1
2023-12-31
Gemini 2.0 Flash-Lite
2024-06-01
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 2.0 Flash-Lite
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 2.0 Flash-Lite
Avg Score:40.3%(+10.5%)
Providers:1
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Llama-3.3 Nemotron Super 49B v1
Avg Score:29.8%
Providers:0