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Gemini 2.5 Flash-Lite vs Grok-1.5V
Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash-Lite leads with 1.4% 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-1.5V is a multimodal language model developed by xAI. It achieves strong performance with an average score of 71.9% across 7 benchmarks. It excels particularly in AI2D (88.3%), DocVQA (85.6%), TextVQA (78.1%). 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.
1 year newer
Grok-1.5V
xAI
2024-04-12
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%(+1.4%)
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Grok-1.5V
Average Score:26.5%
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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-1.5V
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Gemini 2.5 Flash-Lite
Avg Score:27.9%(+1.4%)
Providers:1
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Grok-1.5V
Avg Score:26.5%
Providers:0