+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek-V2.5 vs Gemini 1.5 Pro
Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 17.7% higher average benchmark score. Gemini 1.5 Pro offers 2.1M more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $12.08 cheaper per million tokens. Gemini 1.5 Pro supports multimodal inputs. DeepSeek-V2.5 is available on 3 providers. Overall, Gemini 1.5 Pro is the stronger choice for coding tasks.
+
+
+
+
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.
+
+
+
+
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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 2024, it represents Google's latest advancement in AI technology.
7 days newer
Gemini 1.5 Pro
2024-05-01
DeepSeek-V2.5
DeepSeek
2024-05-08
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
DeepSeek-V2.5
Input:$0.14
Output:$0.28($12.08 cheaper)
+
+
+
+
Gemini 1.5 Pro
Input:$2.50
Output:$10.00
Performance Metrics
Context window and performance specifications
Average performance across 34 common benchmarks
+
+
+
+
DeepSeek-V2.5
Average Score:31.4%
+
+
+
+
Gemini 1.5 Pro
Average Score:49.1%(+17.7%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Pro
2023-11-01
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:31.4%
Providers:3
+
+
+
+
Gemini 1.5 Pro
Avg Score:49.1%(+17.7%)
Providers:1