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Gemini 2.0 Flash Thinking vs Pixtral Large
Comprehensive side-by-side LLM comparison
Pixtral Large leads with 37.8% higher average benchmark score. Overall, Pixtral Large 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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Mistral AI
Pixtral Large is a multimodal language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 80.5% across 7 benchmarks. It excels particularly in AI2D (93.8%), DocVQA (93.3%), ChartQA (88.1%). It supports a 256K token context window for handling large documents. 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 Mistral AI's latest advancement in AI technology.
2 months newer
Pixtral Large
Mistral AI
2024-11-18
Gemini 2.0 Flash Thinking
2025-01-21
Performance Metrics
Context window and performance specifications
Average performance across 9 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:24.8%
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Pixtral Large
Average Score:62.6%(+37.8%)
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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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Pixtral Large
1 providers
Mistral AI
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Gemini 2.0 Flash Thinking
Avg Score:24.8%
Providers:0
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Pixtral Large
Avg Score:62.6%(+37.8%)
Providers:1