DeepSeek V4 Flash Vision Exp API Pricing
DeepSeek · context window 1M · prices updated 2026-09-29
Where DeepSeek V4 Flash Vision Exp sits on price
At $0.6468 per million output tokens, DeepSeek V4 Flash Vision Exp is a mid tier model — 3.4× cheaper than the median output price of $2.20, which puts it cheaper than 75% and pricier than 25% of the models we track. It sits 6th cheapest of the 15 DeepSeek models we track. Output is only 3.0× the input price, an unusually flat spread: long prompts hurt about as much as long answers, so prompt size is where the savings are.
Cached input is 97% cheaper. On an input-heavy workload you need roughly a 26% cache-hit rate to take 25% off the input line — reachable for chatbots and agents that resend the same system prompt and history.
What real workloads cost on DeepSeek V4 Flash Vision Exp
These three workloads are the ones teams actually run on a mid-priced model — a $0.6468/1M model is not bought for the same job as one ten times the price.
| Workload | Per request | Per month |
|---|---|---|
| Support chatbot — 500 conversations/day (5K in / 1.4K out) Conversation history re-sent each turn — the classic prompt-caching win. | $0.002 | $29.75 |
| Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. | $0.001 | $291 |
| Long-context analysis — 200 runs/day (250K in / 4K out) Only possible on large-context models; input cost is nearly the whole bill. | $0.0565 | $339 |
Model your exact traffic in the API cost calculator — it preloads DeepSeek V4 Flash Vision Exp with caching and batch options.
DeepSeek V4 Flash Vision Exp price history
DeepSeek last cut DeepSeek V4 Flash Vision Exp's output price on Sep 29, 2026 (-51% per output token), from $0.44/$1.32 to $0.2156/$0.6468 per 1M in/out. That is one of 9 repricings in the 39 days we have tracked it — worth knowing before you hard-code today's rate into a budget.
| Date | Input /1M | Output /1M | Output change |
|---|---|---|---|
| Aug 21, 2026 (tracking began) | $0.22 | $0.66 | — |
| Aug 22, 2026 | $0.44 | $1.32 | +100% |
| Aug 23, 2026 | $0.22 | $0.66 | -50% |
| Aug 25, 2026 | $0.44 | $1.32 | +100% |
| Aug 28, 2026 | $0.22 | $0.66 | -50% |
| Sep 18, 2026 | $0.2156 | $0.6468 | -2% |
| Sep 21, 2026 | $0.22 | $0.66 | +2% |
| Sep 27, 2026 | $0.2156 | $0.6468 | -2% |
| Sep 28, 2026 | $0.44 | $1.32 | +104% |
| Sep 29, 2026 | $0.2156 | $0.6468 | -51% |
Change-points from our daily price snapshots (tracking since Aug 21, 2026; intraday moves between snapshots are not captured).
DeepSeek V4 Flash Vision Exp vs Gemma 2 27B
The closest-priced alternative from another vendor is Gemma 2 27B (Google) — priced within a rounding error on output, with $0.4344 more per million input tokens. When two models land this close on price, the decision is quality on your own workload, not the price sheet: run 50 real requests through both and compare.
See Gemma 2 27B pricing →Cheaper alternatives
More DeepSeek models
Frequently asked questions
› How much does the DeepSeek V4 Flash Vision Exp API cost?
DeepSeek V4 Flash Vision Exp costs $0.2156 per million input tokens and $0.6468 per million output tokens, with cached input at $0.0069 per million (97% cheaper). That works out to roughly 1,546,073 output tokens per dollar.
› What does the support chatbot workload cost on DeepSeek V4 Flash Vision Exp?
Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.002 per request and $29.75 per month on DeepSeek V4 Flash Vision Exp. Conversation history re-sent each turn — the classic prompt-caching win.
› What does it cost to fill DeepSeek V4 Flash Vision Exp's 1M context window?
Sending 1M of input in a single request costs $0.2261 at $0.2156 per million tokens — before any output. With prompt caching that same fill drops to about $0.0072 on repeat requests. This is why large context windows are cheap to advertise and expensive to actually use.
› Is DeepSeek V4 Flash Vision Exp worth the price?
DeepSeek V4 Flash Vision Exp sits in the middle of the market (6 of 15 by price within DeepSeek). The honest test is a routing experiment: send the same 200 real requests to this model and to a tier below, and compare failure rate against the price gap — most teams find a majority of traffic never needed the pricier model.