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Gemini 2.0 Flash-Lite vs GPT-3.5 Turbo
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash-Lite leads with 44.1% higher average benchmark score. Gemini 2.0 Flash-Lite offers 1.0M more tokens in context window than GPT-3.5 Turbo. Gemini 2.0 Flash-Lite is $1.63 cheaper per million tokens. Gemini 2.0 Flash-Lite supports multimodal inputs. Overall, Gemini 2.0 Flash-Lite is the stronger choice for coding tasks.
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Gemini 2.0 Flash Lite was created as an even more efficient variant of Gemini 2.0 Flash, designed for applications where minimal latency and maximum cost-effectiveness are essential. Built to bring next-generation multimodal capabilities to resource-constrained deployments, it optimizes for speed and affordability.
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OpenAI
GPT-3.5 Turbo was developed as an optimized version of GPT-3.5, designed to provide a balance of capability and efficiency for conversational and completion tasks. Built to serve as a cost-effective option for applications requiring reliable language understanding and generation, it became widely adopted for chatbots, content generation, and general-purpose AI assistance.
1 year newer
GPT-3.5 Turbo
OpenAI
2023-03-21
Gemini 2.0 Flash-Lite
2025-02-05
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.0 Flash-Lite
Input:$0.07
Output:$0.30($1.63 cheaper)
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GPT-3.5 Turbo
Input:$0.50
Output:$1.50
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Gemini 2.0 Flash-Lite
Average Score:68.8%(+44.1%)
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GPT-3.5 Turbo
Average Score:24.6%
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Knowledge Cutoff
Training data recency comparison
GPT-3.5 Turbo
2021-09-30
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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GPT-3.5 Turbo
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Gemini 2.0 Flash-Lite
Avg Score:68.8%(+44.1%)
Providers:1
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GPT-3.5 Turbo
Avg Score:24.6%
Providers:2