Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 5.5% higher average benchmark score. Gemini 1.5 Flash offers 1.0M more tokens in context window than DeepSeek-V2.5. Both models have similar pricing. Gemini 1.5 Flash supports multimodal inputs. DeepSeek-V2.5 is available on 3 providers. Overall, DeepSeek-V2.5 is the stronger choice for coding tasks.
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.
Gemini 1.5 Flash was created as a fast and efficient multimodal model, designed to provide quick responses while handling text, images, and other modalities. Built for applications requiring low latency and high throughput, it balances capability with speed to serve real-time and high-volume use cases.
7 days newer

Gemini 1.5 Flash
2024-05-01

DeepSeek-V2.5
DeepSeek
2024-05-08
Cost per million tokens (USD)

DeepSeek-V2.5

Gemini 1.5 Flash
Context window and performance specifications
Average performance across 4 common benchmarks

DeepSeek-V2.5

Gemini 1.5 Flash
Gemini 1.5 Flash
2023-11-01
Available providers and their performance metrics

DeepSeek-V2.5
DeepInfra
DeepSeek
Hyperbolic

DeepSeek-V2.5

Gemini 1.5 Flash

DeepSeek-V2.5

Gemini 1.5 Flash

Gemini 1.5 Flash