Comprehensive side-by-side LLM comparison
Gemini 3 Flash offers 872.2K more tokens in context window than DeepSeek-R1. Gemini 3 Flash is $2.24 cheaper per million tokens. Gemini 3 Flash supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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 3 Flash, released by Google in December 2025, is a large language model from the Gemini 3 family that delivers reasoning and coding performance with efficiency optimized for high-volume workloads. It features a 1M token context window, 64K maximum output tokens, and native support for text, image, audio, video, and PDF input. Gemini 3 Flash targets cost-sensitive agentic workflows, document processing, and production APIs requiring fast, capable multimodal responses.
11 months newer

DeepSeek-R1
DeepSeek
2025-01-20

Gemini 3 Flash
Google DeepMind
2025-12-17
Cost per million tokens (USD)
DeepSeek-R1
Gemini 3 Flash
Context window and performance specifications
Available providers and their performance metrics
DeepSeek-R1
DeepSeek
Gemini 3 Flash
DeepSeek-R1
Gemini 3 Flash
DeepSeek-R1
Gemini 3 Flash
Google Cloud Vertex AI