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Gemini 1.0 Pro vs GPT-5
Comprehensive side-by-side LLM comparison
GPT-5 leads with 50.4% higher average benchmark score. GPT-5 offers 487.0K more tokens in context window than Gemini 1.0 Pro. Gemini 1.0 Pro is $9.25 cheaper per million tokens. GPT-5 supports multimodal inputs. Overall, GPT-5 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-5 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 70.1% across 35 benchmarks. It excels particularly in SWE-Lancer (IC-Diamond subset) (100.0%), COLLIE (99.0%), Tau2 Telecom (96.7%). It supports a 528K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
1 year newer
Gemini 1.0 Pro
2024-02-15
GPT-5
OpenAI
2025-08-07
Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.0 Pro
Input:$0.50
Output:$1.50($9.25 cheaper)
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GPT-5
Input:$1.25
Output:$10.00
Performance Metrics
Context window and performance specifications
Average performance across 40 common benchmarks
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Gemini 1.0 Pro
Average Score:10.9%
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GPT-5
Average Score:61.3%(+50.4%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
GPT-5
2024-09-30
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-5
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Gemini 1.0 Pro
Avg Score:10.9%
Providers:1
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GPT-5
Avg Score:61.3%(+50.4%)
Providers:2