Google DeepMind
Gemini 2.0 Flash-Lite
Overall 79commercialGoogle's Gemini 2.0 Flash-Lite for ultra-fast, cost-efficient inference.
Capability profile
Radar view of the model's practical strengths. This chart is backed by textual summaries below for crawlability.
Benchmark summary
Budget-friendly option for high-throughput applications.
No benchmark series is attached to this model yet. Source links and product metadata are available below.
Strengths
- • Ultra-fast
- • Very low cost
Trade-offs
- • Significantly lower quality than full Flash
Crawlable benchmark analysis
Gemini 2.0 Flash-Lite is positioned as a multimodal api model with published scores that emphasize its practical fit for buyers evaluating the entry.
Published scores highlight reasoning 72/100, coding 65/100, enterprise readiness 80/100, vision 75/100, speed 96/100, and safety 77/100.
Pricing starts at $0.0001 per 1K input tokens and $0.0003 per 1K output tokens. With a context window of 1,048,576 tokens, it supports large-document analysis and retrieval workflows.
Benchmark coverage is still limited for this entry, so this section focuses on published metadata and deployment fit.
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