DeepSeek Gave Its Cheapest Model Eyes, and It Lands Near Opus-4.8

Quick verdict

DeepSeek shipped a vision version of its cheapest agent model. V4-Flash-Vision-Exp keeps the text behavior people already liked and adds image input on top, and DeepSeek's own table puts the multimodal agent scores close to Opus-4.8. The prices are the interesting part: an image costs at most 384 tokens, billed at Flash rates, so you can hand a model screenshots all day without watching your bill climb. It is API-only for now, no open weights yet, but if you run agents that read charts, dashboards, or UI, this is the cheapest set of eyes on the frontier this week.

What actually shipped

Three weeks ago DeepSeek pushed a text-only V4-Flash update that jumped 25 points on Terminal-Bench without getting bigger. This release takes that same model and teaches it to see. DeepSeek says the text capability is unchanged, so you are not trading away the agent you had to get vision.

• You call it with model='deepseek-v4-flash-vision-exp' and it works through the Chat Completions, Messages, and Responses APIs. Mixed text and image inputs go in as base64, external URLs, or through the new Files API.
• Each image is billed as up to 384 tokens, and simpler images bill lower, from around 117. Those tokens are charged at V4-Flash pricing, which is where the whole cost argument lives.
• On the launch table Terminal-Bench 2.1 reads 83.9 and Toolathlon-Verified 75.9, with 64.3 on Chartography. DeepSWE moved up about four points from the July 0731 build, which the community flagged as a large single-step gain.
• DeepSeek puts the multimodal agent scores near Opus-4.8 and shows it trading blows on Agents' Last Exam and ZeroBench, while Opus-4.8 still leads most of the text-only rows.
• The Files API lets you upload an image once, get a file_id back, and reference it across requests instead of resending the payload every time. For a long agent session over the same screenshots that is real bandwidth saved.

Worth keeping in view: these are DeepSeek's own charts from launch day, and independent testers have not finished with it. The weights are not on Hugging Face yet either, so unlike the text V4-Flash you cannot download this one and host it. For now it lives behind the API.

One odd footnote. For a day the community had been chasing a stealth model called Ox Alpha, and some testers concluded that at least part of that confusion was this vision model showing up "blinded" in a few evals before the announcement. The vision release cleared up more than one mystery.

Why it matters

Vision has been the quiet tax on agent work. A model that can read a screenshot, a chart, or a rendered page can check its own output and drive a real UI, but the frontier vision models have been priced like a luxury. Charging an image at 384 tokens, at Flash rates, changes what you are willing to try. You can let an agent glance at every frame it generates, screenshot a dashboard on a loop, or feed it a stack of receipts without doing math in your head first.

The competitive read is the same one from the text release, now pointed at multimodal. When a cheap model gets close enough to the expensive one on the tasks you actually run, the question stops being which lab you trust and becomes which tier each job needs. That routing decision is where the money is, and it is the case we walk through in cutting AI coding agent costs with model routing. Vision-heavy work was the part that used to force you onto the pricey tier. Now it does not always have to.

The catch is the missing weights. The text V4-Flash mattered so much partly because you could run it yourself, which puts a floor under what anyone can charge. Vision-Exp is API-only, so DeepSeek keeps a hand on the price. That still undercuts the closed frontier by a wide margin, but it is a different kind of pressure than an open release. If you would rather keep several of these models one keystroke apart instead of betting on one, running multiple AI models behind one subscription is the setup that makes swapping cheap. And the broader trend, cheap models eating the frontier's lunch faster than paid plans get cheaper, is the one we track in open-source AI models in 2026.

Video: DeepSeek V4-Flash gets eyes

A walkthrough of the Vision-Exp release, the benchmark table, and how the image pricing works against the closed multimodal models.

FAQ

Can I download DeepSeek V4-Flash-Vision-Exp and run it locally?

Not yet. At launch it is API-only and the weights are not on Hugging Face. The earlier text-only V4-Flash did ship open weights under MIT, so a vision release may follow, but there is no timeline. See our write-up of the text model for what an open version looked like.

How much does an image cost?

Each image is billed as up to 384 tokens, with simpler images landing lower, from around 117 tokens. Those tokens are charged at standard V4-Flash rates, which is why a vision-heavy workload stays cheap here compared with the closed frontier models.

Is it actually as good as Opus-4.8?

On DeepSeek's own multimodal agent benchmarks it lands close, and it trades wins on Agents' Last Exam and ZeroBench. On text-only tasks Opus-4.8 still leads most rows. Treat the numbers as launch-day vendor figures until third parties finish testing.

Sources

• @deepseek_ai - DeepSeek-V4-Flash-Vision-Exp launch announcement
• @deepseek_ai - mixed text+image API and per-image token billing
• @deepseek_ai - Files API for reusable image uploads
• DeepSeek API docs - vision guide
• r/LocalLLaMA - DeepSeek-V4-Flash-Vision-Exp benchmark discussion
• @teortaxesTex - on the Ox Alpha "blinded VLM" confusion

Further reading

• DeepSeek V4-Flash and the open-weight price war
• Cut AI coding agent costs with model routing
• The best app for running multiple AI models