Gemini 3.1 Pro Preview vs DeepSeek V4 Pro
Google's flagship against the open-weight model that matches much of it at open pricing.
What the numbers say
- DeepSeek V4 Pro is about 14x cheaper on output tokens (9.6 vs 132 credits per 1M).
- Both take the same 1.0M-token context window.
- Gemini 3.1 Pro Preview accepts images; DeepSeek V4 Pro is text-only.
- DeepSeek V4 Pro is the newer release (April 2026 vs February 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 3.1 Pro Preview
Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation...
- Provider
- Context window
- 1.0M tokens
- Input price
- 22.0 credits / 1M tokens ($2.00 raw)
- Output price
- 132 credits / 1M tokens ($12.00 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 Pro
DeepSeek
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...
- Provider
- DeepSeek
- Context window
- 1.0M tokens
- Input price
- 4.8 credits / 1M tokens ($0.43 raw)
- Output price
- 9.6 credits / 1M tokens ($0.87 raw)
- Vision (image input)
- No
- Tool calling
- Yes
- Extended reasoning
- No
Best for
- Everyday chat and drafting on an open-weight model with transparent lineage
- 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 3.1 Pro Preview and DeepSeek V4 Pro in the same chat, so you can switch mid-conversation and compare answers on the work you actually do.