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DeepSeek-R1-0528 vs Gemini 2.5 Pro Preview 06-05
Comprehensive side-by-side LLM comparison
DeepSeek-R1-0528 leads with 1.8% higher average benchmark score. Gemini 2.5 Pro Preview 06-05 offers 852.0K more tokens in context window than DeepSeek-R1-0528. DeepSeek-R1-0528 is $8.60 cheaper per million tokens. Gemini 2.5 Pro Preview 06-05 supports multimodal inputs. DeepSeek-R1-0528 is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 60.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), SimpleQA (92.3%), AIME 2024 (91.4%). It supports a 262K token context window for handling large documents. The model is available through 3 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 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
8 days newer
DeepSeek-R1-0528
DeepSeek
2025-05-28
Gemini 2.5 Pro Preview 06-05
2025-06-05
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-R1-0528
Input:$0.50
Output:$2.15($8.60 cheaper)
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Gemini 2.5 Pro Preview 06-05
Input:$1.25
Output:$10.00
Performance Metrics
Context window and performance specifications
Average performance across 21 common benchmarks
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DeepSeek-R1-0528
Average Score:44.4%(+1.8%)
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Gemini 2.5 Pro Preview 06-05
Average Score:42.6%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Pro Preview 06-05
2025-01-31
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-R1-0528
3 providers
DeepInfra
Throughput: 45.04 tok/s
Latency: 0.61ms
DeepSeek
Throughput: 9 tok/s
Latency: 0.3ms
Novita
Throughput: 37.96 tok/s
Latency: 1.18ms
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DeepSeek-R1-0528
Avg Score:44.4%(+1.8%)
Providers:3
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Gemini 2.5 Pro Preview 06-05
Avg Score:42.6%
Providers:1