Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash leads with 1.2% higher average benchmark score. Gemini 2.5 Flash offers 872.2K more tokens in context window than DeepSeek-V3.1. Gemini 2.5 Flash is $0.62 cheaper per million tokens. Gemini 2.5 Flash supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-V3.1, released by DeepSeek in August 2025, is a hybrid large language model with 671 billion total parameters (37 billion active) that unifies the capabilities of DeepSeek-V3 and DeepSeek-R1 in a single model. It features a 128K token context window and supports both direct generation and extended reasoning modes selectable via the chat template. DeepSeek-V3.1 targets general-purpose tasks, coding, and complex 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.
2 months newer

Gemini 2.5 Flash
Google DeepMind
2025-06-17

DeepSeek-V3.1
DeepSeek
2025-08-21
Cost per million tokens (USD)
DeepSeek-V3.1
Gemini 2.5 Flash
Context window and performance specifications
Average performance across 1 common benchmarks
DeepSeek-V3.1
Gemini 2.5 Flash
Performance comparison across key benchmark categories
DeepSeek-V3.1
Gemini 2.5 Flash
Available providers and their performance metrics
DeepSeek-V3.1
DeepSeek
Gemini 2.5 Flash
DeepSeek-V3.1
Gemini 2.5 Flash
DeepSeek-V3.1
Gemini 2.5 Flash
Google Cloud Vertex AI