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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. Gemini 2.5 Flash LiteGoogleRemove
  2. DeepSeek V4.1 Flash 1017DeepSeekRemove
gemini-2.5-flash-lite vs deepseek-v4.1-flash-1017
AttributeGemini 2.5 Flash Litegemini-2.5-flash-liteDeepSeek V4.1 Flash 1017deepseek-v4.1-flash-1017
Pricing
Input$0.15 / 1M$0.10 / 1M
Output$0.60 / 1M$0.50 / 1M
Cache Write (5m)$0.15 / 1M$0.10 / 1M
Cache Write (1h)$0.15 / 1M$0.10 / 1M
Cache Read$0.15 / 1M$0.10 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context1.0M1M
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderGoogleDeepSeek
Categorychatchat
Charge typePay As You GoPay As You Go
Released——
Description
SummaryGemini 2.5 Flash-Lite is a smaller, low-latency model focused on speed and cost efficiency. It delivers faster generation and better benchmark performance than earlier Flash models. Thinking mode is off by default for maximum speed, but developers can enable it when they want deeper reasoning at a higher cost.DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek’s cost-efficient Mixture-of-Experts (MoE) model, built on its innovative Causal Encoder-Decoder (CED) architecture. Featuring 552B total parameters with 8B activated for input and 16B for output, it combines efficient inference with native multimodal understanding through jointly trained text and visual representations. Optimized for coding, terminal and computer-use agents, and long-horizon workflows, the model introduces compressed KV caching that reduces cache memory usage to approximately one-quarter of the previous Flash generation. DeepSeek reports that it surpasses V4 Pro in performance, inference speed, and task completion time, making it well suited for cost-efficient autonomous agents, complex software engineering, and long-context analysis.