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Gemini 1.0 Pro vs GPT-5 nano
Comprehensive side-by-side LLM comparison
Gemini 1.0 Pro leads with 14.3% higher average benchmark score. GPT-5 nano offers 487.0K more tokens in context window than Gemini 1.0 Pro. GPT-5 nano is $1.55 cheaper per million tokens. GPT-5 nano supports multimodal inputs. 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-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). 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 nano
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
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GPT-5 nano
Input:$0.05
Output:$0.40($1.55 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 13 common benchmarks
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Gemini 1.0 Pro
Average Score:33.5%(+14.3%)
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GPT-5 nano
Average Score:19.3%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
GPT-5 nano
2024-05-30
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 nano
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Gemini 1.0 Pro
Avg Score:33.5%(+14.3%)
Providers:1
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GPT-5 nano
Avg Score:19.3%
Providers:2