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Gemini 2.0 Flash Thinking vs Grok-2
Comprehensive side-by-side LLM comparison
Grok-2 leads with 43.3% higher average benchmark score. Overall, Grok-2 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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xAI
Grok-2 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 76.5% across 8 benchmarks. It excels particularly in DocVQA (93.6%), HumanEval (88.4%), MMLU (87.5%). It supports a 136K 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 xAI's latest advancement in AI technology.
5 months newer
Grok-2
xAI
2024-08-13
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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Grok-2
Average Score:68.0%(+43.3%)
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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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Grok-2
1 providers
xAI
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Gemini 2.0 Flash Thinking
Avg Score:24.8%
Providers:0
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Grok-2
Avg Score:68.0%(+43.3%)
Providers:1