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Gemini 1.0 Pro vs GPT-3.5 Turbo
Comprehensive side-by-side LLM comparison
Gemini 1.0 Pro leads with 16.6% higher average benchmark score. Gemini 1.0 Pro offers 20.5K more tokens in context window than GPT-3.5 Turbo. Both models have similar pricing. Overall, Gemini 1.0 Pro is the stronger choice for coding tasks.
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Gemini 1.0 Pro was developed as Google's initial production-ready multimodal model, designed to handle text and provide strong performance across diverse tasks. Built to serve as a versatile foundation for applications requiring reliable language understanding and generation, it introduced the Gemini architecture to developers and enterprises.
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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.
11 months newer
GPT-3.5 Turbo
OpenAI
2023-03-21
Gemini 1.0 Pro
2024-02-15
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.0 Pro
Input:$0.50
Output:$1.50
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GPT-3.5 Turbo
Input:$0.50
Output:$1.50
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Gemini 1.0 Pro
Average Score:45.4%(+16.6%)
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GPT-3.5 Turbo
Average Score:28.7%
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Knowledge Cutoff
Training data recency comparison
GPT-3.5 Turbo
2021-09-30
Gemini 1.0 Pro
2024-02-01
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 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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GPT-3.5 Turbo
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Gemini 1.0 Pro
Avg Score:45.4%(+16.6%)
Providers:1
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GPT-3.5 Turbo
Avg Score:28.7%
Providers:2