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DeepSeek-V4-Flash-0731 Public Beta

DeepSeek-V4-Flash-0731 Public Beta

Use the formal public-beta DeepSeek-V4-Flash API through the same deepseek-v4-flash model name with no request-format change Evaluate DeepSeek-reported Code Agent scores across Terminal Bench 2.1, NL2Repo, Cybergym, DeepSWE, Toolathlon, and DSBench; no Flash Preview baseline is disclosed Build Codex-style agents with native Responses API support while V4-Pro, DeepSeek APP, and DeepSeek WEB models remain unchanged for now

Content updated 1 month ago·DeepSeek-V4-Flash-0731 Public Beta released 1 month ago

Pricing:Free + from $0.22/per 1M off-peak cache-miss input tokens
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Pros & Cons

Pros

  • Same deepseek-v4-flash model name keeps migration small for existing API users.
  • Official benchmark gains target practical coding-agent and automation workloads.
  • Responses API support makes Flash easier to use in Codex-style agent systems.
  • 1M context and 384K maximum output provide large working windows for repo and document tasks.
  • CNY 1/M cache-miss input and CNY 2/M output keep Flash far cheaper than Pro.
  • 2,500 listed concurrency gives high-volume API users more headroom than V4-Pro.

Cons

  • Public beta status means production teams should still run evals, canaries, and rollback checks.
  • Only V4-Flash API is upgraded; V4-Pro, APP, and WEB are unchanged for now.
  • Official notes say architecture and size are unchanged, so gains come from post-training rather than a larger base model.
  • DSBench numbers are internal and should not be treated like fully public third-party benchmarks.
  • Peak/off-peak pricing changes are planned but not yet formally scheduled.

Overview

DeepSeek-V4-Flash-0731 Public Beta is the July 31, 2026 API update for DeepSeek's faster V4 model endpoint. The official update says API access is now in public beta for the formal DeepSeek-V4-Flash backend, while the request method stays the same: set the model name to deepseek-v4-flash to use the latest version. This release succeeds the April 2026 DeepSeek-V4 Preview for Flash API users, but it does not upgrade V4-Pro, DeepSeek APP, or DeepSeek WEB models yet.

The practical change is stronger agent performance under DeepSeek's official evaluation. DeepSeek says the model structure and size are unchanged from Preview, but the post-training process has been redone for the official Flash release. That makes this a low-friction upgrade for teams already using DeepSeek in coding agents, repo automation, tool-use workflows, and high-volume API workloads.

What's New

Formal Flash API Public Beta

DeepSeek-V4-Flash is now available as a formal public-beta API model. Existing API integrations do not need a new endpoint or request format; the official migration path is to keep using the deepseek-v4-flash model name. That matters for production teams because the upgrade can be rolled out behind normal model routing, eval, and rollback controls instead of a larger SDK migration.

DeepSeek also clarifies the scope of the release. Only the V4-Flash API has been upgraded in this update. V4-Pro API, the DeepSeek app, and DeepSeek web chat remain on their existing models, and DeepSeek says the V4-Pro formal release will follow later.

Stronger Agent Benchmarks

The July 31 update centers on Code Agent and tool-use performance. DeepSeek reports the following official benchmark scores for DeepSeek-V4-Flash under its evaluation harness:

Benchmark Official score
Terminal Bench 2.1 82.7
NL2Repo 54.2
Cybergym 76.7
DeepSWE 54.4
Toolathlon verified 70.3
Agent Last Exam 25.2
Automation Bench (Public) 25.1
DSBench-FullStack 68.7
DSBench-Hard 59.6

These numbers make the release most relevant to teams evaluating agentic coding, shell-based repair tasks, repository editing, automation workflows, and benchmark-driven model routing. DeepSeek identifies DSBench-FullStack and DSBench-Hard as internal test sets. It also says the public Code Agent scores used the not-yet-released DeepSeek Harness minimal mode at max effort, topp=0.95, and temperature=1.0, so comparisons require matching harness and evaluation settings.

Native Responses API Support

DeepSeek-V4-Flash supports a stateless subset of the Responses API for Codex-style agents, including function calls, web search, and apply_patch compatibility. Server-managed state through previous_response_id, conversation, and store is not supported. The official update explicitly calls out targeted adaptation for Codex scenarios, making this release more practical for development agents than a generic chat-only model upgrade.

The current pricing table also lists existing Flash capabilities that the July 31 changelog does not identify as newly introduced: JSON Output, Tool Calls, Anthropic API compatibility, Chat Prefix Completion (Beta), and FIM Completion (Beta), with FIM limited to non-thinking mode. V4-Pro does not yet list Responses API support in the same pricing table.

Same Architecture, New Post-Training

DeepSeek says the model structure and model size are the same as the Preview version, but the post-training process has been redone. For users, that means the release is not a new parameter-scale story or a new context-window story. It is a re-post-training update focused on agent capabilities and Responses API/Codex compatibility on the Flash API endpoint.

This distinction matters for upgrade planning. The July 31 release is relevant when agent-task performance or Responses API compatibility is the bottleneck; it does not introduce a new architecture, context limit, or documented latency or pricing change. If you were waiting for a stronger V4-Pro backend or a refreshed web/app model, this release is not that change.

Availability & Access

DeepSeek-V4-Flash-0731 Public Beta is available through the DeepSeek API. Use the model name deepseek-v4-flash to call the latest Flash version. The pricing page identifies the current Flash model version as DeepSeek-V4-Flash-0731.

Important availability notes:

  • API upgraded: DeepSeek-V4-Flash API is the updated surface for this release.
  • V4-Pro unchanged: V4-Pro API remains separate and has not received this July 31 public-beta upgrade.
  • APP/WEB unchanged: DeepSeek app and web chat models are not changed by this release.
  • Responses API supported: Flash supports Responses API, while the pricing table does not list the same support for V4-Pro.
  • Public beta: Treat the release as production-evaluable but still subject to public-beta behavior, docs updates, and possible pricing-policy notices.

Pricing & Plans

The DeepSeek pricing page lists deepseek-v4-flash as a token-based API model with 1M context, 384K maximum output, and a concurrency value of 2,500. Pricing is denominated in CNY per million tokens:

Model Cache-hit input Cache-miss input Output Context Max output
deepseek-v4-flash CNY 0.02/M CNY 1/M CNY 2/M 1M tokens 384K tokens
deepseek-v4-pro CNY 0.025/M CNY 3/M CNY 6/M 1M tokens 384K tokens

Flash remains the lower-cost V4 API choice, especially for cached-input workflows and high-volume coding agents. DeepSeek also states that peak and off-peak pricing is planned: peak periods are expected to charge 2x the listed price during Beijing time 09:00-12:00 and 14:00-18:00, but the pricing page says formal notice will come later.

Best For

  • Coding-agent teams already calling deepseek-v4-flash who want better tool-use performance without rewriting API requests.
  • Developers building Codex-style agents around Responses API, tool calls, shell tasks, and repo edits.
  • High-volume API workloads where Flash's CNY pricing and 2,500 listed concurrency matter.
  • Evaluation teams comparing agent benchmarks such as Terminal Bench, NL2Repo, Cybergym, DeepSWE, and Toolathlon.
  • Users who need 1M context and large output limits but do not need V4-Pro pricing or future Pro capability.

FAQ

What changed in DeepSeek-V4-Flash on July 31, 2026?

DeepSeek upgraded the deepseek-v4-flash API to the formal public-beta Flash version. The request method and model name stay the same, but DeepSeek says the post-training process has been redone and agent benchmark performance is stronger.

Is DeepSeek-V4-Pro upgraded too?

No. DeepSeek says this update upgrades only the V4-Flash API. V4-Pro API, DeepSeek APP, and DeepSeek WEB models remain unchanged, with the formal V4-Pro release expected later.

What model name should I use?

Use deepseek-v4-flash. The official update says setting the model name to deepseek-v4-flash is enough to call the latest Flash API version.

How much does DeepSeek-V4-Flash cost?

The official pricing page lists CNY 0.02 per million cache-hit input tokens, CNY 1 per million cache-miss input tokens, and CNY 2 per million output tokens for deepseek-v4-flash.

Does DeepSeek-V4-Flash support the Responses API?

Yes. DeepSeek lists Responses API support for Flash, and the July 31 update calls out targeted adaptation for Codex-style agent use cases.

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