DeepSeek-V4-Flash vs Gemini 2.5 Flash Preview (09-2025)
Side-by-side comparison of pricing and capabilities
DeepSeek-V4-Flash
Gemini 2.5 Flash Preview (09-2025)
Input Price Comparison
| Attribute | DeepSeek-V4-Flash | Gemini 2.5 Flash Preview (09-2025) |
|---|---|---|
| Provider | DeepSeek | |
| Input Price | $0.14 /1M tokens | $0.3 /1M tokens |
| Output Price | $0.28 /1M tokens | $2.5 /1M tokens |
| Cached Input | $0.028 /1M tokens | $0.030 /1M tokens |
| Context Window | 128K | 1.0M |
| Type | chat | chat |
| Status | current | preview |
Capability Comparison
| Capability | DeepSeek-V4-Flash | Gemini 2.5 Flash Preview (09-2025) |
|---|---|---|
| coding | ||
| reasoning | ||
| multilingual | ||
| vision |
Which should you choose?
Budget-conscious: DeepSeek-V4-Flash is 53% cheaper on input tokens ($0.14 vs $0.3 per 1M tokens).
Context-heavy tasks: Gemini 2.5 Flash Preview (09-2025) offers a larger context window (1.0M vs 128K), making it better for long documents or conversations.
Capability fit: DeepSeek-V4-Flash supports 3 capabilities (coding, reasoning, multilingual), while Gemini 2.5 Flash Preview (09-2025) supports 3 (coding, vision, multilingual).
Frequently Asked Questions
Which is cheaper: DeepSeek-V4-Flash or Gemini 2.5 Flash Preview (09-2025)?
DeepSeek-V4-Flash costs $0.14/1M input vs Gemini 2.5 Flash Preview (09-2025) at $0.3/1M input. DeepSeek-V4-Flash is 53% cheaper on input tokens.
How do output prices compare between DeepSeek-V4-Flash and Gemini 2.5 Flash Preview (09-2025)?
DeepSeek-V4-Flash output: $0.28/1M, Gemini 2.5 Flash Preview (09-2025) output: $2.5/1M. DeepSeek-V4-Flash is more economical for generation-heavy workloads.
What is DeepSeek-V4-Flash best used for?
DeepSeek-V4-Flash is best for budget-conscious applications, high-volume chatbots, and tasks where cost efficiency is the primary concern.
What is Gemini 2.5 Flash Preview (09-2025) best used for?
Gemini 2.5 Flash Preview (09-2025) is suited for complex reasoning, analysis, and tasks that benefit from its coding and vision capabilities.