Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash leads with 7.6% higher average benchmark score. Gemini 2.5 Flash offers 872.2K more tokens in context window than DeepSeek-R1. Gemini 2.5 Flash is $1.99 cheaper per million tokens. Gemini 2.5 Flash supports multimodal inputs. Overall, Gemini 2.5 Flash is the stronger choice for coding tasks.
DeepSeek
DeepSeek-R1, released by DeepSeek on January 20, 2025, is a large reasoning model with 671 billion total parameters (37 billion active in its MoE architecture) designed for extended chain-of-thought reasoning. It features a 128K token context window and demonstrated strong performance on mathematics, coding, and scientific reasoning benchmarks at its release. DeepSeek-R1 targets complex analytical tasks, competitive programming, and applications requiring deep deliberative reasoning under an open MIT license.
Google DeepMind
Gemini 2.5 Flash, released by Google in June 2025, is a large language model from the Gemini 2.5 family optimized for high-throughput, cost-efficient deployments with multimodal reasoning. It features a 1M token context window, hybrid thinking control, and native support for text, image, video, and audio input. Gemini 2.5 Flash targets latency-sensitive applications, document analysis, and high-volume API workloads that benefit from combined reasoning and generation in a single model.
4 months newer

DeepSeek-R1
DeepSeek
2025-01-20

Gemini 2.5 Flash
Google DeepMind
2025-06-17
Cost per million tokens (USD)
DeepSeek-R1
Gemini 2.5 Flash
Context window and performance specifications
Average performance across 2 common benchmarks
DeepSeek-R1
Gemini 2.5 Flash
Performance comparison across key benchmark categories
DeepSeek-R1
Gemini 2.5 Flash
Available providers and their performance metrics
DeepSeek-R1
DeepSeek
Gemini 2.5 Flash
DeepSeek-R1
Gemini 2.5 Flash
DeepSeek-R1
Gemini 2.5 Flash
Google Cloud Vertex AI