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Gemini 2.0 Flash-Lite vs IBM Granite 4.0 Tiny Preview
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash-Lite leads with 3.3% higher average benchmark score. Gemini 2.0 Flash-Lite supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemini 2.0 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in MATH (86.8%), FACTS Grounding (83.6%), Global-MMLU-Lite (78.2%). 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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IBM
IBM Granite 4.0 Tiny Preview is a language model developed by IBM. The model shows competitive results across 12 benchmarks. It excels particularly in AttaQ (86.1%), HumanEval (82.4%), HumanEval+ (78.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents IBM's latest advancement in AI technology.
2 months newer
Gemini 2.0 Flash-Lite
2025-02-05
IBM Granite 4.0 Tiny Preview
IBM
2025-05-02
Performance Metrics
Context window and performance specifications
Average performance across 25 common benchmarks
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Gemini 2.0 Flash-Lite
Average Score:30.7%(+3.3%)
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IBM Granite 4.0 Tiny Preview
Average Score:27.4%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash-Lite
2024-06-01
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-Lite
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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IBM Granite 4.0 Tiny Preview
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Gemini 2.0 Flash-Lite
Avg Score:30.7%(+3.3%)
Providers:1
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IBM Granite 4.0 Tiny Preview
Avg Score:27.4%
Providers:0