Gemini 3.7 Flash vs DeepSeek V4 Flash 0423
A closed flash tier against the open-weight one, both priced for throughput rather than depth.
What the numbers say
- DeepSeek V4 Flash 0423 is about 2.9x cheaper on output tokens (15.4 vs 45.0 credits per 1M).
- Both take the same 1.0M-token context window.
- Gemini 3.7 Flash accepts images; DeepSeek V4 Flash 0423 is text-only.
- Gemini 3.7 Flash is the newer release (August 2026 vs April 2026).
Derived from the live registry Zeplik routes and bills against. Credits: 1 credit = $0.10, computed from the raw provider rate with a 1.20x margin.
Side by side
Gemini 3.7 Flash
Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning.
- Provider
- Context window
- 1.0M tokens
- Input price
- 9.0 credits / 1M tokens ($0.75 raw)
- Output price
- 45.0 credits / 1M tokens ($3.75 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 0423
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.
- Provider
- DeepSeek
- Context window
- 1.0M tokens
- Input price
- 0.36 credits / 1M tokens ($0.030 raw)
- Output price
- 15.4 credits / 1M tokens ($1.28 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 3.7 Flash and DeepSeek V4 Flash 0423 in the same chat, so you can switch mid-conversation and compare answers on the work you actually do.
Frequently asked questions
- What is the difference between Gemini 3.7 Flash and DeepSeek V4 Flash 0423?
- DeepSeek V4 Flash 0423 is about 2.9x cheaper on output tokens (15.4 vs 45.0 credits per 1M). Both take the same 1.0M-token context window. Gemini 3.7 Flash accepts images; DeepSeek V4 Flash 0423 is text-only. Gemini 3.7 Flash is the newer release (August 2026 vs April 2026).
- Is Gemini 3.7 Flash or DeepSeek V4 Flash 0423 cheaper?
- DeepSeek V4 Flash 0423 is cheaper: 15.4 credits per million output tokens against 45.0. 1 credit = $0.10, computed from the raw provider rate with a 1.20x margin.
- Which has the larger context window, Gemini 3.7 Flash or DeepSeek V4 Flash 0423?
- Neither: both take 1.0M tokens.
- Can I use both Gemini 3.7 Flash and DeepSeek V4 Flash 0423 on Zeplik?
- Yes. Zeplik is a multi-model chat, so both sit behind one account and you can switch between them mid-conversation to compare answers on your own prompt.
- Do Gemini 3.7 Flash and DeepSeek V4 Flash 0423 need a paid plan?
- One of the two is open to free accounts; the other needs a paid plan (Plus or above).
Related comparisons
- GPT-5.6 Luna vs Gemini 3.7 FlashThe value tier where volume work actually runs: OpenAI's Luna against Gemini 3.7 Flash, at a fraction of either lab's flagship price.
- GPT-6 Luna vs DeepSeek V4 Flash 0423The honest throughput comparison: DeepSeek's flash tier is cheaper still per output token, and it cannot read an image, which GPT-6 Luna can.
- Gemini 3.8 Flash vs Gemini 3.7 FlashThe current Gemini Flash against the one it replaces, priced identically at $0.75 in and $3.75 out: a straight generational question with no cost to trade off.
- GPT-5.6 Luna vs DeepSeek V4 Flash 0423OpenAI's efficient tier against DeepSeek's open-weight speed variant.
- Claude Sonnet 5 vs Gemini 3.7 FlashA flagship against a flash tier that costs a fraction of it: the honest question is how much work actually needs the flagship.
- Gemini 3.5 Flash vs DeepSeek V4 Flash 0423Two flash tiers built for throughput, closed against open.
Explore Zeplik
- 467 AI skillsReady-to-run expert methods that run on Gemini 3.7 Flash, DeepSeek V4 Flash 0423 or any other model.
- 997 integrationsConnect Gmail, Slack, GitHub, Notion and hundreds more so the assistant can work in your apps.
- Simple pricingPlus, Pro and Max plans with a monthly credit allowance that works across every model.