+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek-V2.5 vs GPT-4 Turbo
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. GPT-4 Turbo offers 115.7K more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $39.58 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
+
+
+
+
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.
+
+
+
+
OpenAI
GPT-4 Turbo was introduced as an optimized version of GPT-4, designed to provide enhanced performance with improved efficiency and an expanded context window. Built with updated knowledge and refined capabilities, it offered developers a more cost-effective way to leverage GPT-4's advanced reasoning while handling longer conversations and documents.
29 days newer
GPT-4 Turbo
OpenAI
2024-04-09
DeepSeek-V2.5
DeepSeek
2024-05-08
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
DeepSeek-V2.5
Input:$0.14
Output:$0.28($39.58 cheaper)
+
+
+
+
GPT-4 Turbo
Input:$10.00
Output:$30.00
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
+
+
+
+
DeepSeek-V2.5
Average Score:81.4%
+
+
+
+
GPT-4 Turbo
Average Score:82.1%(+0.7%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
GPT-4 Turbo
2023-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
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
+
+
+
+
+
+
+
DeepSeek-V2.5
Avg Score:81.4%
Providers:3
+
+
+
+
GPT-4 Turbo
Avg Score:82.1%(+0.7%)
Providers:2