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Unlimited DeepSeek: what a flat monthly subscription changes

DeepSeek has a well-earned reputation as the budget option among frontier-quality models. Per-token rates for DeepSeek V4 Flash run around $0.14 per million input tokens and $0.28 per million output — an order of magnitude below closed-source flagships.

So why would anyone pay a flat monthly fee for it?

Because per-token pricing has a property that doesn’t care how low the rate is: cost scales with tokens, and agent tokens scale with iterations, not value. Cheap per token is not the same as cheap per month.


The math nobody runs until the invoice arrives

Section titled “The math nobody runs until the invoice arrives”

A coding agent re-sends its growing context on every tool call. A typical task burns 300–500K tokens; an active developer runs dozens of tasks a day. Being conservative:

Tokens/dayTokens/monthPer-token cost (V4 Flash rates)
Light use2M60M~$11/mo
Daily driver15M450M~$80/mo
Heavy agent loops50M1.5B~$270/mo

The rate is tiny. The bill is not — and it’s unpredictable, because next month’s iteration count is unknowable in advance.

A time-block subscription inverts this: you reserve a daily 8-hour window and usage inside it is unlimited. The number on your invoice is decided when you subscribe, not by how many times your agent loops. DeepSeek V4 Flash is served in the Core Pool — current pricing is on the pools page.

At “daily driver” volume, the flat block is cheaper than even DeepSeek’s per-token rates — and the gap only widens from there.

  • DeepSeek V4 Flash with a 1M-token context window — whole codebases, long documents, extended agent runs in a single request.
  • No token caps during your blocks. The plan is unlimited in tokens; capacity is shaped by per-key concurrency instead, so one busy key never affects another.
  • MiMo v2.5 included. A Core Pool subscription covers every model in the pool — Xiaomi’s MiMo v2.5 shares the same 1M-context class.
  • Drop-in API. OpenAI-compatible (/v1/chat/completions) and Anthropic-compatible (/anthropic/v1/messages) — point your SDK, Cline, or Claude Code at it with model id deepseek-v4-flash.
from openai import OpenAI
client = OpenAI(
base_url="https://api.cheapestinference.com/v1",
api_key="sk-...", # subscriber key
)
r = client.chat.completions.create(
model="deepseek-v4-flash",
messages=[{"role": "user", "content": "Review this repo for race conditions: ..."}],
)

When per-token DeepSeek is still the right call

Section titled “When per-token DeepSeek is still the right call”

Honesty clause: if your usage is light or spiky — a few million tokens a month, unpredictable hours — per-token is cheaper and you should use it. The flat block wins when usage is heavy and concentrated in predictable hours: agent development, batch processing, a working day of assisted coding. That’s the break-even logic in one sentence; the full break-even analysis is here.


CheapestInference serves DeepSeek V4 Flash and MiMo v2.5 (Core Pool, from $5.94/mo billed annually) and Kimi K2.7, Kimi K2.6, GLM 5.2, and MiniMax M3 (Frontier Pool) through one OpenAI- and Anthropic-compatible API on unlimited time-block subscriptions. See the pools or get started.