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DeepSeek-V2.5 vs GPT-5 nano
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 40.8% higher average benchmark score. GPT-5 nano offers 511.6K more tokens in context window than DeepSeek-V2.5. Both models have similar pricing. GPT-5 nano supports multimodal inputs. Overall, DeepSeek-V2.5 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, it represents DeepSeek'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
DeepSeek-V2.5
DeepSeek
2024-05-08
GPT-5 nano
OpenAI
2025-08-07
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28($0.03 cheaper)
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GPT-5 nano
Input:$0.05
Output:$0.40
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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DeepSeek-V2.5
Average Score:53.3%(+40.8%)
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GPT-5 nano
Average Score:12.5%
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Knowledge Cutoff
Training data recency comparison
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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DeepSeek-V2.5
3 providers
DeepInfra
Throughput: 63 tok/s
Latency: 0.5ms
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 100 tok/s
Latency: 0.5ms
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DeepSeek-V2.5
Avg Score:53.3%(+40.8%)
Providers:3
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GPT-5 nano
Avg Score:12.5%
Providers:2