DeepSeek launched the V4 Flash preview on April 24, 2026 as a 284B-total, 13B-active text model for economical reasoning and agent work. On July 31, it released DeepSeek-V4-Flash-0731 in public beta after additional post-training, while keeping the same architecture, size and API name. Checked September 8, 2026, `deepseek-v4-flash` points to 0731. That update applied only to the Flash API; DeepSeek said its App/Web models were unchanged at the time. The current API lists Pro-0813 separately, and `deepseek-v4-flash-vision-exp` is a different experimental model. Ordinary Flash is text-only, so do not infer image input from the Vision name. This page prepares a prompt for Ottermind Studio; it neither confirms model availability in your account nor selects DeepSeek automatically.
Start with the smallest useful text sample and an acceptance check. Studio continues the conversation; only use files or a named model when your selected interface actually offers them.
Paste the failing function, error and nearby test into Ottermind, then ask for a minimal patch that preserves named behavior. Run the test and inspect the diff. Follow up in Studio with the exact failure or unwanted line and request a correction limited to that discrepancy.
Paste a sanitized sequence of tool calls, responses and the tool schema. Ask where an argument was lost or a loop began. Check every claim against the trace, then continue in Studio with the first mismatched event and ask for a revised call plus a regression test.
Paste the relevant old and new clauses with stable section labels and ask for a change log containing quotes, impact and unresolved ambiguity. Verify each quote in the originals. Then ask in Studio to rewrite only the unsupported row or turn a confirmed change into an owner-and-deadline checklist.
Paste the transcript excerpt, speaker labels and required fields for owner, action, date and evidence. Ask for null when a field is absent. Check speakers and dates against the source, then return any mistaken row in Studio and request a targeted fix without inventing missing commitments.
| Consideration | DeepSeek-V4-Flash | DeepSeek-V4-Pro |
|---|---|---|
| Current API version | DeepSeek-V4-Flash-0731 | DeepSeek-V4-Pro-0813 |
| Peak input: cached / uncached | $0.014 / $0.44 per 1M tokens | $0.044 / $1.32 per 1M tokens |
| Peak output | $1.32 per 1M tokens | $3.96 per 1M tokens |
| Useful decision test | Run a bounded code or extraction task; measure corrections, latency and total tokens | Run the same hard case; pay more only if fewer retries or better edge-case coverage justify it |
These are individual reports from different interfaces and deployments, not controlled benchmarks. April comments concern the Preview; later comments concern 0731 and still do not predict current API latency or your result.
In an April 24 developer test, Comfortable-Rock-498 reported accurate multi-tool work over large code changes with a personal Cline branch and the official API, but slow generation and minutes of thinking on the Preview. After the 0731 update, one VS Code Copilot user reported less drift and more first-try solutions in a complex project. Different setups and tasks prevent a direct benchmark.
After the 0731 update, Juulk9087 reported that a local full-precision setup ignored project rules; the thread also includes differing API and local experiences. Another LocalLLaMA report showed omitted context and speaker confusion in meeting notes. These remain individual local reports, so use your own fixtures and checks.
Start with one failing function, labeled passage or sanitized trace. State the expected output, the facts it must preserve and a check you can actually run.
Open Ottermind Studio and sign in if required. Choose DeepSeek-V4-Flash only if your account offers it. This handoff carries your prompt; it does not upload files, auto-select a model or prove API access.
Run the test or compare each quote, owner and date with the source. Paste only the failed item back into the conversation and ask for a focused revision that leaves accepted work intact.
As checked September 8, 2026, the `deepseek-v4-flash` API name points to DeepSeek-V4-Flash-0731. DeepSeek described the July 31 release as a re-post-trained public-beta API update with the same architecture and size as Preview. The notice said App/Web models were unchanged, so it does not establish that 0731 is available there.
The ordinary `deepseek-v4-flash` model is text-only. Image input belongs to the separately named experimental `deepseek-v4-flash-vision-exp`. This page does not upload an image or switch models; provide a text description unless the interface you choose explicitly supports the separate Vision model.
For Flash, current peak rates per million tokens are $0.014 cached input, $0.44 uncached input and $1.32 output; off-peak is half. Peak windows are Monday-Friday 01:00-04:00 and 06:00-10:00 UTC. This is DeepSeek API billing, not an Ottermind price or subscription promise.
DeepSeek documents low, high and max, with high enabled by default. Start low for bounded extraction or formatting, use high for ordinary agent work, and reserve max for difficult cases after measuring quality, latency and output tokens. The controls exposed by a chat product may differ from the API.
Take the source, expected outcome and acceptance check into Ottermind Studio.
