Grok Imagine Video 1.5 Pricing: Why DeepSeek Token Costs Are Not Your Video Budget

A low DeepSeek API bill does not mean an AI video campaign will be inexpensive. The two workloads are priced around different units: DeepSeek models in the OneMux catalogue show separate input and output prices, while the supplied Grok Imagine Video 1.5 listing starts from $0.08 per generated second. That makes duration, iteration volume, and approval discipline the variables that matter most for video.

For founders, marketers, product teams, and international operators, the practical decision is straightforward: use economical text models to prepare and operationalize creative work where they fit, then budget Grok Imagine Video 1.5 as a controlled production service—not as another token-only API call.

The pricing question to answer before choosing a provider

The Grok Imagine Video 1.5 listing on OpenRouter describes it as a video generation model and lists pricing from $0.08 per second. The same source summary notes that requests exceeding 200,000 total tokens are billed differently, but does not provide enough detail here to calculate that rate. Do not build a forecast around an unspecified overage rule; confirm current provider terms before sending unusually large requests.

At the advertised starting rate, a simple duration-only baseline looks like this:

These are floor calculations, not campaign quotes. They exclude retries, alternate concepts, localization variants, quality-review renders, and any pricing conditions not included in the supplied source. If a team expects three candidate renders for every approved 15-second asset, it should model 45 generated seconds per approved asset before accounting for further revisions.

OneMux lists Grok Imagine Video 1.5 as available through its unified model routing. The catalogue page shows $0 input and $0 output fields, so do not interpret those token fields as evidence that video generation itself is free. For this model, use the provider's cited per-second framing and verify the applicable route and billing details in your account before launch.

Why DeepSeek API pricing belongs in the plan—but not in the same line item

DeepSeek can be useful in the work surrounding a video request: turning a brief into shot options, extracting product claims from approved copy, producing locale-specific scripts, drafting support responses, or classifying feedback. Those are text tasks. Their budget should be tracked in a text-model ledger.

In the OneMux catalogue, DeepSeek Flash and DeepSeek V4 Flash are listed at $0.117 input and $0.468 output. DeepSeek V4 Pro is listed at $0.5148 input and $1.5444 output. These figures are not directly comparable to a per-second video price because they measure a different kind of consumption.

That distinction prevents a common planning mistake: optimizing a few thousand tokens of prompt-writing effort while approving repeated long video renders without a cap. In many creative workflows, reducing one avoidable 15-second rerender can matter more to the video budget than shaving a small amount of text-model usage.

Use a two-ledger budget

Maintain separate fields in your internal reporting:

For international buyers, add currency conversion and taxes or payment fees required in the relevant jurisdiction to the internal forecast. The cited $0.08-per-second figure is a starting model price, not a complete local procurement estimate.

A disciplined Grok Imagine Video 1.5 workflow

The best cost control happens before the render request. A reliable operational sequence is:

1. Lock the approval brief. Define audience, claim boundaries, brand restrictions, target duration, and publishing market. Support and legal teams should review claims before video generation, not after multiple renders.
2. Generate structured options in text. Use a text model such as DeepSeek for variants of scripts, captions, calls to action, and shot descriptions. Keep the output structured enough for a human to compare quickly.
3. Set a render allowance. Record a maximum generated duration and a maximum number of variants for each asset. Make the allowance visible to the person triggering requests.
4. Render the smallest useful proof. Where the model and product workflow support the desired job, validate the creative direction with a short test before commissioning a broader set of variants.
5. Log what was approved. Store the prompt version, intended duration, actual generated duration, market, reviewer, and asset status. This lets finance distinguish exploratory usage from production output.

A simple forecast calculation can live in a deployment script or internal dashboard:

const pricePerSecond = 0.08;
const secondsPerRender = 15;
const plannedRenders = 12;

const estimatedVideoCost = pricePerSecond * secondsPerRender * plannedRenders;
console.log(`Estimated baseline video cost: $${estimatedVideoCost.toFixed(2)}`);

Keep the value configurable. “From” pricing means the calculation is appropriate for baseline planning, not a promise of the final charge.

Provider selection: compare operations, not just the headline rate

A provider decision should account for how your team actually manages models. OneMux provides access to leading AI models through one OpenAI-compatible API and focuses on model access, routing, keys, spend visibility, credit top-ups, and lower-cost pay-as-you-go usage. That is useful when a product uses DeepSeek for text work and a separate model for video work, because teams can centralize operational controls rather than introduce a disconnected integration for every workload.

Before implementing, review the OneMux quickstart and broader API documentation. Confirm the model identifier, request format, media delivery behavior, limits, and billing mechanics for the route you intend to use. Video APIs often differ materially from ordinary text chat requests, so developers should not assume that a generic chat-completions payload represents the correct video-generation contract.

For finance and procurement, compare current options on the OneMux pricing page and use a small pilot with explicit spend limits. For product leaders, require an asset-level report: generated seconds, number of attempts, approval rate, and downstream use. That is a better basis for scaling than an abstract claim that one model is “cheaper.”

Conclusion

Grok Imagine Video 1.5 should be budgeted in seconds and attempts; DeepSeek should be budgeted as text-model usage. Combining them can be practical, but combining their pricing logic is an error. Build a workflow in which DeepSeek handles high-volume text preparation where appropriate, Grok Imagine Video 1.5 is triggered only after a clear brief and render cap, and OneMux provides a single operational layer for access, routing, keys, and spend visibility.

Sources

• OpenRouter: Grok Imagine Video 1.5 — supplied source for the model description, starting price of $0.08 per second, and the note regarding requests above 200,000 total tokens.
• OneMux: Grok Imagine Video 1.5 — model catalogue availability.
• OneMux: DeepSeek Flash — catalogue pricing cited for DeepSeek Flash.