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Gemini 2.0 Flash Thinking vs Nova Micro
Comprehensive side-by-side LLM comparison
Nova Micro leads with 48.3% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. Overall, Nova Micro is the stronger choice for coding tasks.
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Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). 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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Amazon
Nova Micro is a language model developed by Amazon. It achieves strong performance with an average score of 67.0% across 17 benchmarks. It excels particularly in GSM8k (92.3%), ARC-C (90.2%), Translation Set1→en COMET22 (88.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Amazon's latest advancement in AI technology.
2 months newer
Nova Micro
Amazon
2024-11-20
Gemini 2.0 Flash Thinking
2025-01-21
Performance Metrics
Context window and performance specifications
Average performance across 19 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:11.7%
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Nova Micro
Average Score:60.0%(+48.3%)
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash Thinking
2024-08-01
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 Thinking
0 providers
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Nova Micro
1 providers
Bedrock
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Gemini 2.0 Flash Thinking
Avg Score:11.7%
Providers:0
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Nova Micro
Avg Score:60.0%(+48.3%)
Providers:1