Gemini 3.5 Flash vs DeepSeek V4 Flash
Two flash tiers built for throughput, closed against open.
What the numbers say
- DeepSeek V4 Flash is about 50x cheaper on output tokens (2.0 vs 99.0 credits per 1M).
- Both take the same 1.0M-token context window.
- Gemini 3.5 Flash accepts images; DeepSeek V4 Flash is text-only.
- Gemini 3.5 Flash is the newer release (May 2026 vs April 2026).
Derived from the live registry Zeplik routes and bills against. Credits: 1 credit = $0.10, raw provider rate with a 1.10x margin.
Side by side
Gemini 3.5 Flash
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...
- Provider
- Context window
- 1.0M tokens
- Input price
- 16.5 credits / 1M tokens ($1.50 raw)
- Output price
- 99.0 credits / 1M tokens ($9.00 raw)
- Vision (image input)
- Yes
- Tool calling
- Yes
- Extended reasoning
- No
Best for
- High-volume everyday tasks where speed and cost matter: summaries, drafts, quick questions
- Very long documents and codebases: a 1.0M-token window fits entire books or repositories in one conversation
- Working with images: screenshots, charts, photos and scanned documents alongside text
- Tool use and agents: reliably calls functions, so it can search, run skills and drive workflows
DeepSeek V4 Flash
DeepSeek
DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and...
- Provider
- DeepSeek
- Context window
- 1.0M tokens
- Input price
- 0.99 credits / 1M tokens ($0.090 raw)
- Output price
- 2.0 credits / 1M tokens ($0.18 raw)
- Vision (image input)
- No
- Tool calling
- Yes
- Extended reasoning
- No
Best for
- High-volume everyday tasks where speed and cost matter: summaries, drafts, quick questions
- Very long documents and codebases: a 1.0M-token window fits entire books or repositories in one conversation
- Tool use and agents: reliably calls functions, so it can search, run skills and drive workflows
Try both on Zeplik
The honest answer to most model debates is to run your own prompt on both. Zeplik puts Gemini 3.5 Flash and DeepSeek V4 Flash in the same chat, so you can switch mid-conversation and compare answers on the work you actually do.