DeepSeek V4 Pro vs Gemini 3.1 Pro
DeepSeek V4 Pro is the cheaper of the two, at 8.3x less on a blended 3:1 input-to-output rate. DeepSeek V4 Pro runs $0.435 in / $0.87 out per 1M tokens; Gemini 3.1 Pro runs $2.00 in / $12.00 out.
On the heaviest scenario below, that gap is $4,243 a month ($50,916 a year) for identical volume. Verified 2026-08-16.
Side by side
| DeepSeek V4 Pro | Gemini 3.1 Pro | |
|---|---|---|
| Provider | DeepSeek | |
| Input per 1M tokens | $0.435 | $2.00 |
| Output per 1M tokens | $0.87 | $12.00 |
| Cached input per 1M | $0.003625 | Not offered |
| Batch discount | Not offered | 50% |
| Output-to-input ratio | 2.0x | 6.0x |
| Blended per 1M (3:1) | $0.544 | $4.50 |
What each costs on the same workload
Rate cards are hard to compare directly because the input:output mix changes the answer. These four scenarios hold the workload fixed and vary only the model, with no caching or batch discount applied to either side.
| Workload | DeepSeek V4 Pro | Gemini 3.1 Pro | Monthly difference | Cheaper |
|---|---|---|---|---|
| Support chatbot 50,000 conversations/month at 3K input and 500 output tokens each | $87.00 | $600.00 | $513.00 | DeepSeek V4 Pro |
| RAG document search 200,000 queries/month at 6K retrieved-context input and 400 output tokens | $591.60 | $3,360 | $2,768 | DeepSeek V4 Pro |
| Coding agent 5,000 runs/month at 60K input and 8K output tokens per run | $165.30 | $1,080 | $914.70 | DeepSeek V4 Pro |
| Bulk classification 5,000,000 items/month at 400 input and 20 output tokens each | $957.00 | $5,200 | $4,243 | DeepSeek V4 Pro |
Which should you actually pick?
DeepSeek V4 Pro is cheaper on both input and output, so on price alone it wins regardless of your token mix. That does not automatically make it the right call: these are different models with different capability profiles, and paying 8.3x more is justified whenever the more expensive model gets the task right on the first attempt and the cheaper one needs two or three tries, or needs human correction downstream.
Discounts can also flip the arithmetic. Prompt caching is the bigger lever of the two for anything that resends a stable prefix: see the prompt caching savings calculator. If the work is latency-tolerant, the batch API savings calculator is worth a look before you decide.
DeepSeek V4 Pro vs Gemini 3.1 Pro: common questions
Is DeepSeek V4 Pro or Gemini 3.1 Pro cheaper?
DeepSeek V4 Pro is cheaper overall, at 8.3x less on a blended 3:1 input-to-output rate ($0.544 vs $4.50 per 1M blended tokens). It is cheaper on both input and output.
What is the price difference between DeepSeek V4 Pro and Gemini 3.1 Pro on a real workload?
On the bulk classification scenario (5,000,000 items/month at 400 input and 20 output tokens each), DeepSeek V4 Pro costs $957.00 a month and Gemini 3.1 Pro costs $5,200. That is a difference of $4,243 a month, or $50,916 a year, for the same volume of work.
Does DeepSeek V4 Pro or Gemini 3.1 Pro have better discounts?
DeepSeek V4 Pro offers cached input at $0.003625. Gemini 3.1 Pro has no published cached-input rate and a 50% batch discount. On cache-heavy or latency-tolerant workloads these can matter more than the headline rate.
Should I switch from Gemini 3.1 Pro to DeepSeek V4 Pro?
Only if the cheaper model actually does the job. Price is the easy half of the decision; the hard half is whether output quality holds on your task. Run both against a sample of real traffic, then use the model switching savings calculator to put a number on the annual difference before committing.