Models · DeepSeek

DeepSeek V4.1 Flash pricing: budget-tier, with two asterisks

V4 Flash retired into V4.1 Flash in October 2026 and got cheaper doing it — still the steepest cached-read discount in the catalog, still not the cheapest row, and the data-residency question still comes before the price.

All numbers computed from pricing data verified 2026-11-09 — this page updates with every pricing refresh.

The rate card

ModelInput /1MOutput /1MCached readCache writeBatch inputContext
DeepSeek V4.1 Flash$0.3$1.2$0.006—$0.151000K

What it costs on real workloads

Realistic monthly cost at 1,000 requests/day with the calculator’s defaults — 8% retries, 40% cache hit rate, 15% infra overhead, per-model tokenizer calibration applied. The same three workloads used across every comparison on this site, so the numbers line up.

WorkloadDeepSeek V4.1 Flash
Simple chatbot$23/mo
Chatbot with history$47/mo
Multi-step agent$296/mo

Where it actually lands

On the history-carrying chatbot above, DeepSeek V4.1 Flash runs $47/mo — rank 7 of 18 in our catalog on that workload. GPT-5.4 costs roughly 10× as much for the same work, so this is still firmly a budget-tier price. It is not, however, the cheapest row: Amazon Nova Lite, GPT-OSS 20B (Groq), Llama 3 8B Lite, Mistral Small 4, GPT-OSS 120B (Groq), Claude Haiku 5.5 all come in below it. At $0.3/1M input and $1.2/1M output, the interesting question is no longer the sticker price — it’s the caching behaviour and the data policy.

Price history: this line has moved twice in three months, in both directions. DeepSeek raised V4 Flash in August 2026 — $0.14/$0.28 per 1M to $0.44/$1.32, roughly 3× on input and 4.7× on output. Then in October 2026 it retired V4 Flash outright and replaced it with V4.1 Flash at the rates above, cutting input by about a third and the cached read by well over half. Every figure on this page is computed, so both moves propagated on the next pricing review. A forecast built on either old rate card is wrong today — which is the whole argument for modelling costs rather than screenshotting a rate card.

A 98% cached-read discount — the steepest here

Cached input bills at $0.006/1M, roughly 98% below standard input. Every other model in the catalog discounts cached reads by about 90%. On a workload with a large stable prefix — a long system prompt, a reused document, a growing transcript — the cached portion of your bill rounds to nothing, and that discount is now doing more of the work than the base rate is.

The 1000K context window compounds that: long prompts are both cheap to send and nearly free to re-send.

The “batch” rate is a clock, not an endpoint

DeepSeek has no batch API. What it has is off-peak pricing: every token is discounted 50% outside 01:00–04:00 and 06:00–10:00 UTC, Monday to Friday — weekends and Chinese public holidays are off-peak all day. We model that in the batch fields because the arithmetic is identical to a 50% batch tier, but the mechanism is different in a way that matters — you get the discount by scheduling work into a window, not by submitting to a queue and waiting. If your load is already off-peak-heavy, you are paying the discounted rate on real-time calls, which no batch tier gives you.

The caveat you have to price in

DeepSeek is a China-based provider, and for many teams that is a decision made outside the cost model entirely — by a procurement policy, a customer contract, a regulator, or a data residency commitment. If you handle personal data, regulated data, or anything a customer agreement covers, review the data policy before the price, because no per-token discount survives a compliance objection.

Where it fits cleanly: internal tooling, non-sensitive bulk processing, prototyping, and offline pipelines over public or synthetic data. Where it usually doesn’t: anything customer-facing under a data-processing agreement that doesn’t list it.

Endpoint naming

The current id is deepseek-flash. Two older names still resolve to it: deepseek-v4-flash, which became an alias when V4 Flash was retired in October 2026, and deepseek-chat / deepseek-reasoner, retired on 2026-07-24. Aliased calls are served by V4.1 Flash and billed at the rate above, so an older integration keeps working — but it is no longer running the model its name says.

Quality is the open question, not price. Our recommendation engine keeps DeepSeek out of chatbot recommendations unless it is more than 50% cheaper than the next non-DeepSeek option — a deliberate data-policy hedge — and excludes budget-tier models from coding and routing archetypes entirely. Validate on your own task before scaling.

Model DeepSeek V4.1 Flash against the rest of the catalog on your own workload.

Open the calculator →

Related