DeepSeek logo and branding Image: Image: TechNode / deepseek.com
by Michael Joiner

DeepSeek V4 Arrives Mid-July — and the July 24 API Deadline Is Real

DeepSeek V4 brings two model tiers, 1M-token context by default, and a hard cutoff on July 24 for legacy API names that millions of developers still use.

DeepSeek V4 is rolling out this week, and with it comes a deadline that developers using the old API names need to take seriously. On July 24 at 15:59 UTC, the identifiers `deepseek-chat` and `deepseek-reasoner` stop working. Calls using those names will fail outright. ## Two models, very different price points V4 ships as two variants. V4-Pro is the heavyweight: 1.6 trillion total parameters with 49 billion activated per token, using a Mixture of Experts architecture that keeps actual compute costs manageable despite the parameter count. V4-Flash covers high-volume and latency-sensitive work at 284 billion total parameters, with 13 billion activated. Pricing is the part that makes western developers pay attention. V4-Pro runs $1.74 per million input tokens and $3.48 per million output tokens. V4-Flash is $0.14 / $0.28. By comparison, GPT-5.6 Sol (OpenAI's top reasoning tier) is priced at $5 / $30 per million tokens. V4-Flash is nearly 100x cheaper than Sol per output token. Both models ship under an MIT license, so self-hosting is an option for teams with data residency requirements. ## Context window jumps to 1M Both V4 variants set 1M tokens as the default context floor. The previous V3.2 models topped out at 128K. For codebases or long-running workflows that push context limits, that's a meaningful jump. Efficiency also improved substantially. At maximum context, V4-Pro requires roughly 27% of the single-token inference compute and 10% of the KV cache that V3.2 used. ## The migration is straightforward but not optional Right now, `deepseek-chat` and `deepseek-reasoner` both route to V4-Flash as a compatibility bridge. After July 24, that bridge disappears. The migration itself is simple: update your `model` parameter from `deepseek-chat` to `deepseek-v4-flash`, or to `deepseek-v4-pro` if you were using the heavy reasoning variant. The API endpoints don't change — only the model identifier. If your codebase calls DeepSeek anywhere, search for those legacy strings now. The blast radius can be larger than it looks: direct API calls, wrapper libraries, LangChain configs, and hosted tools that pass through to DeepSeek all need updating. ## Peak-time pricing is new DeepSeek also introduced differentiated pricing for the first time. Peak hours (9:00 to 12:00 and 14:00 to 18:00 daily) run at double the off-peak rate. If your workloads are flexible, scheduling jobs outside those windows cuts costs in half. ## Coding performance On Codeforces, V4-Pro scores a rating of 3,206, which works out to roughly rank 23 among human competitors. On SWE-bench Verified, the open-weights version hits 80.6%, tying with Gemini 3.1 Pro as the highest open-weights entry. The practical implication for coding tools: V4-Flash at $0.14/$0.28 gives teams a serious code-capable model at near-commodity pricing, with V4-Pro available when harder problems need it. --- **Sources:** [DeepSeek API docs](https://api-docs.deepseek.com/news/news260424/) · [Verdent Guides](https://www.verdent.ai/guides/deepseek-v4-preview-for-coding-what-changed) · [TechNode](https://technode.com/2026/06/30/deepseek-to-launch-v4-in-mid-july-with-new-peak-time-api-pricing/)