DeepSeek V4.1 Pro vs Grok 4.7: Half the Price, Four Times the Ceiling, No Endpoint

Two flat prices, one of which you can pay. Grok 4.7 costs $2.00 per million input tokens and $6.00 per million output, serves a 500K context with a 450K output ceiling, and is callable today. DeepSeek V4.1 Pro costs nothing because it has never had a published rate — no card, no identifier, no endpoint. The DeepSeek model that does exist at flagship tier, DeepSeek V4 Pro, costs $0.66 and $1.98 off-peak, doubles that for seven weekday hours, and offers a 1M context with 384K of output.

So the useful comparison is Grok against V4 Pro, and it produces a number people rarely notice: DeepSeek's flagship is about a third of Grok's input price and a third of its output price, with twice the context window — while being four seconds slower to first token.

What each card actually says

• Grok 4.7 — $2.00 in, $6.00 out per million; 500K context; 450K maximum output; flat rate; no published weights and no parameter count.

• DeepSeek V4 Pro — $0.66 in, $1.98 out off-peak; $0.022 cached; 1M context; 384K output; text-only; 500 concurrent requests; MIT licence with weights published.

• DeepSeek V4.1 Pro — a name used once, in the 10 September release note that shipped V4.1 Flash. No price of any kind.

The peak column is the part Grok wins by default. DeepSeek's off-peak rate doubles to $1.32 and $3.96 between 01:00–04:00 and 06:00–10:00 UTC on weekdays, which for European and Asian traffic covers most of the working day. Grok's $2.00 and $6.00 do not move. If your workload cannot be scheduled, DeepSeek's effective input price is $1.32 against Grok's $2.00 — still cheaper, but no longer by a factor of three.

The ceiling is the real difference

Grok's 450K output ceiling is large enough that it rarely binds; DeepSeek's 384K is smaller but in the same class. What separates them is input: 500K against 1M. For a workload that reads a codebase, a contract set, or a long transcript, the difference between 500K and 1M is the difference between truncating and not.

Both numbers are vendor ceilings. Neither has an independent served measurement in front of us, and a context you cannot actually fill is a context you do not pay for — which is the reason to test the top of the window on your own documents rather than trust the card.

Where the latency goes

DeepSeek V4 Pro measures 6.22 seconds to first token on our page; Grok 4.7 does not publish a comparable figure we can cite. For batch work that number is irrelevant. For an interactive product it is the entire experience, and a third-of-the-price model that takes six seconds to start answering is often the more expensive choice per completed user action.

This is the pattern that repeats across every DeepSeek comparison: cheap per token, expensive per second, and the balance depends entirely on whether a human is waiting.

What to do

If you need a flat rate, a long context and no licence to reason about, Grok 4.7 is on OrcaRouter at SpaceXAI's list price of $2.00 and $6.00, alongside DeepSeek V4 Pro at $0.66 and $1.98 — both on one OpenAI-compatible endpoint with automatic failover, so the comparison costs a routing rule rather than two integrations.

If you are waiting for V4.1 Pro specifically, the three checks that would end the wait are unchanged: a changelog entry naming it, a repository with V4.1-Pro in the name, or a third column on DeepSeek's Models & Pricing page. None has moved as of 30 October — and until one does, this matchup has one side with a card and one side with a press release.