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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 8.1% 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 is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.
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OpenAI
GPT-3.5 Turbo is a language model developed by OpenAI. The model shows competitive results across 8 benchmarks. Notable strengths include DROP (70.2%), MMLU (69.8%), HumanEval (68.0%). The model is available through 2 API providers.
11 months newer
GPT-3.5 Turbo
OpenAI
2023-03-21
Gemini 1.0 Pro
2024-02-15
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 12 common benchmarks
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Gemini 1.0 Pro
Average Score:36.3%(+8.1%)
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GPT-3.5 Turbo
Average Score:28.2%
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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:36.3%(+8.1%)
Providers:1
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GPT-3.5 Turbo
Avg Score:28.2%
Providers:2