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Gemini 1.0 Pro vs Gemini 2.0 Flash Thinking
Comprehensive side-by-side LLM comparison
Gemini 1.0 Pro leads with 21.3% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. Overall, Gemini 1.0 Pro is the stronger choice for coding tasks.
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Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. 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.
11 months newer
Gemini 1.0 Pro
2024-02-15
Gemini 2.0 Flash Thinking
2025-01-21
Performance Metrics
Context window and performance specifications
Average performance across 10 common benchmarks
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Gemini 1.0 Pro
Average Score:43.6%(+21.3%)
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Gemini 2.0 Flash Thinking
Average Score:22.3%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
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 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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Gemini 2.0 Flash Thinking
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Gemini 1.0 Pro
Avg Score:43.6%(+21.3%)
Providers:1
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Gemini 2.0 Flash Thinking
Avg Score:22.3%
Providers:0