Deepseek V4 Flash vs Gemini 3.5 Flash
Compare Deepseek V4 Flash and Gemini 3.5 Flash on key metrics including price, context length, throughput, and other model features.
AuthorDeepseek
Context Length1.0M
Supports Tools
DeepSeek V4 Flash is an efficiency-focused Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B active parameters, supporting a 1M-token context window. It is built for fast inference and high-throughput workloads while preserving strong reasoning and coding capabilities. The model features hybrid attention for efficient long-context processing and offers configurable reasoning modes. It is a strong fit for use cases such as coding assistants, chat applications, and agent workflows where responsiveness and cost efficiency matter.
Activity
Last 14 daysPrompt
1BCompletion
22MTotal
1BStartup
Startup
Latency (p50)0.51s
Throughput (p50)90.8 tok/s
Pricing
Input$0.07/M tokens
Output$0.14/M tokens
Cached input$0.0014/M tokens
Features
Input Modalitiestext
Output Modalitiestext
Supported EndpointsChat Completions
Vision
Supports Tools
AuthorGoogle
Context Length1.0M
Supports Tools
Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution loops, supporting text, image, video, audio, and PDF inputs.
Activity
Last 14 daysPrompt
227MCompletion
5MTotal
232MStartup
Startup
Latency (p50)5.10s
Throughput (p50)67.6 tok/s
Pricing
Input$0.75/M tokens
Output$4.00/M tokens
Cached input$0.07/M tokens
Features
Input Modalitiestext, image, audio, file
Output Modalitiestext
Supported EndpointsChat Completions
Vision
Supports Tools