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Gemini 2.5 Flash-Lite vs Grok-2 mini
Comprehensive side-by-side LLM comparison
Grok-2 mini leads with 3.2% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). 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 2025, it represents Google's latest advancement in AI technology.
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xAI
Grok-2 mini is a multimodal language model developed by xAI. It achieves strong performance with an average score of 74.1% across 8 benchmarks. It excels particularly in DocVQA (93.2%), MMLU (86.2%), HumanEval (85.7%). 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.
10 months newer
Grok-2 mini
xAI
2024-08-13
Gemini 2.5 Flash-Lite
2025-06-17
Performance Metrics
Context window and performance specifications
Average performance across 19 common benchmarks
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Gemini 2.5 Flash-Lite
Average Score:27.9%
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Grok-2 mini
Average Score:31.2%(+3.2%)
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Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Flash-Lite
2025-01-01
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 2.5 Flash-Lite
1 providers
Throughput: 5.69 tok/s
Latency: 0.44ms
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Grok-2 mini
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Gemini 2.5 Flash-Lite
Avg Score:27.9%
Providers:1
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Grok-2 mini
Avg Score:31.2%(+3.2%)
Providers:0