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DeepSeek-R1 vs Gemini 1.0 Pro
Comprehensive side-by-side LLM comparison
DeepSeek-R1 offers 221.2K more tokens in context window than Gemini 1.0 Pro. Gemini 1.0 Pro is $0.74 cheaper per million tokens. DeepSeek-R1 is available on 5 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It supports a 262K token context window for handling large documents. The model is available through 5 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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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.
11 months newer
Gemini 1.0 Pro
2024-02-15
DeepSeek-R1
DeepSeek
2025-01-20
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-R1
Input:$0.55
Output:$2.19
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Gemini 1.0 Pro
Input:$0.50
Output:$1.50($0.74 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 9 common benchmarks
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DeepSeek-R1
Average Score:0.0%
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Gemini 1.0 Pro
Average Score:48.4%(+48.4%)
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Knowledge Cutoff
Training data recency comparison
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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DeepSeek-R1
5 providers
DeepInfra
Throughput: 0.9 tok/s
Latency: 0.3ms
DeepSeek
Throughput: 9 tok/s
Latency: 0.3ms
Fireworks
Throughput: 2.1 tok/s
Latency: 0.3ms
Together
Throughput: 4 tok/s
Latency: 0.6ms
ZeroEval
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DeepSeek-R1
Avg Score:0.0%
Providers:5
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Gemini 1.0 Pro
Avg Score:48.4%(+48.4%)
Providers:1