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Gemini 1.0 Pro vs GPT-4 Turbo
Comprehensive side-by-side LLM comparison
GPT-4 Turbo leads with 2.8% higher average benchmark score. GPT-4 Turbo offers 91.1K more tokens in context window than Gemini 1.0 Pro. Gemini 1.0 Pro is $38.00 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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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-4 Turbo is a language model developed by OpenAI. It achieves strong performance with an average score of 78.1% across 6 benchmarks. It excels particularly in MGSM (88.5%), HumanEval (87.1%), MMLU (86.5%). It supports a 132K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.
1 month newer
Gemini 1.0 Pro
2024-02-15
GPT-4 Turbo
OpenAI
2024-04-09
Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.0 Pro
Input:$0.50
Output:$1.50($38.00 cheaper)
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GPT-4 Turbo
Input:$10.00
Output:$30.00
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%
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GPT-4 Turbo
Average Score:39.1%(+2.8%)
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Knowledge Cutoff
Training data recency comparison
GPT-4 Turbo
2023-12-31
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-4 Turbo
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Gemini 1.0 Pro
Avg Score:36.3%
Providers:1
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GPT-4 Turbo
Avg Score:39.1%(+2.8%)
Providers:2