DeepSeek V4 Pro vs Kimi K3
DeepSeek V4 Pro is the cheaper of the two, at 11x less on a blended 3:1 input-to-output rate. DeepSeek V4 Pro runs $0.435 in / $0.87 out per 1M tokens; Kimi K3 runs $3.00 in / $15.00 out.
On the heaviest scenario below, that gap is $6,543 a month ($78,516 a year) for identical volume. Verified 2026-08-16.
Side by side
| DeepSeek V4 Pro | Kimi K3 | |
|---|---|---|
| Provider | DeepSeek | Moonshot AI |
| Input per 1M tokens | $0.435 | $3.00 |
| Output per 1M tokens | $0.87 | $15.00 |
| Cached input per 1M | $0.003625 | $0.30 |
| Batch discount | Not offered | Not offered |
| Output-to-input ratio | 2.0x | 5.0x |
| Blended per 1M (3:1) | $0.544 | $6.00 |
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 | Kimi K3 | Monthly difference | Cheaper |
|---|---|---|---|---|
| Support chatbot 50,000 conversations/month at 3K input and 500 output tokens each | $87.00 | $825.00 | $738.00 | DeepSeek V4 Pro |
| RAG document search 200,000 queries/month at 6K retrieved-context input and 400 output tokens | $591.60 | $4,800 | $4,208 | DeepSeek V4 Pro |
| Coding agent 5,000 runs/month at 60K input and 8K output tokens per run | $165.30 | $1,500 | $1,335 | DeepSeek V4 Pro |
| Bulk classification 5,000,000 items/month at 400 input and 20 output tokens each | $957.00 | $7,500 | $6,543 | 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 11x 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.
DeepSeek V4 Pro vs Kimi K3: common questions
Is DeepSeek V4 Pro or Kimi K3 cheaper?
DeepSeek V4 Pro is cheaper overall, at 11x less on a blended 3:1 input-to-output rate ($0.544 vs $6.00 per 1M blended tokens). It is cheaper on both input and output.
What is the price difference between DeepSeek V4 Pro and Kimi K3 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 Kimi K3 costs $7,500. That is a difference of $6,543 a month, or $78,516 a year, for the same volume of work.
Does DeepSeek V4 Pro or Kimi K3 have better discounts?
DeepSeek V4 Pro offers cached input at $0.003625. Kimi K3 offers cached input at $0.30. On cache-heavy or latency-tolerant workloads these can matter more than the headline rate.
Should I switch from Kimi K3 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.