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DeepSeek-V2.5 vs GPT-4
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 16.2% higher average benchmark score. GPT-4 offers 49.2K more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $89.58 cheaper per million tokens. GPT-4 supports multimodal inputs. Overall, DeepSeek-V2.5 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V2.5 was developed as an enhanced iteration of the DeepSeek-V2 architecture, designed to incorporate improvements in model quality and efficiency. Built to advance the DeepSeek foundation model series, it provides refined capabilities for general-purpose language understanding and generation tasks.
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OpenAI
GPT-4 was created as a large multimodal model capable of accepting image and text inputs while producing text outputs. Developed to exhibit human-level performance on various professional and academic benchmarks, it marked a significant advancement in reliability, creativity, and handling of nuanced instructions compared to its predecessors.
11 months newer
GPT-4
OpenAI
2023-06-13
DeepSeek-V2.5
DeepSeek
2024-05-08
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28($89.58 cheaper)
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GPT-4
Input:$30.00
Output:$60.00
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-V2.5
Average Score:81.4%(+16.2%)
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GPT-4
Average Score:65.1%
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Knowledge Cutoff
Training data recency comparison
GPT-4
2022-12-31
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-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:81.4%(+16.2%)
Providers:3
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GPT-4
Avg Score:65.1%
Providers:2