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Gemini 1.5 Flash 8B vs Gemini 2.0 Flash Thinking
Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash 8B leads with 40.2% higher average benchmark score. Overall, Gemini 1.5 Flash 8B is the stronger choice for coding tasks.
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Gemini 1.5 Flash 8B is a multimodal language model developed by Google. It achieves strong performance with an average score of 60.5% across 13 benchmarks. It excels particularly in XSTest (92.6%), FLEURS (86.4%), Natural2Code (75.5%). 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 2024, it represents Google's latest advancement in AI technology.
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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.
10 months newer
Gemini 1.5 Flash 8B
2024-03-15
Gemini 2.0 Flash Thinking
2025-01-21
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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Gemini 1.5 Flash 8B
Average Score:56.1%(+40.2%)
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Gemini 2.0 Flash Thinking
Average Score:15.9%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash Thinking
2024-08-01
Gemini 1.5 Flash 8B
2024-10-01
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 1.5 Flash 8B
1 providers
Throughput: 150 tok/s
Latency: 0.3ms
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Gemini 2.0 Flash Thinking
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Gemini 1.5 Flash 8B
Avg Score:56.1%(+40.2%)
Providers:1
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Gemini 2.0 Flash Thinking
Avg Score:15.9%
Providers:0