DeepSeek V4 Pro
DeepSeek V4 Pro is DeepSeek's generally available Pro model for app, web, and API use. The stable `deepseek-v4-pro` request ID maps to `DeepSeek-V4-Pro-0813`, with 1M context, 384K maximum output, low/high/max reasoning effort, JSON output, tool calls, Responses API support, and OpenAI- or Anthropic-format endpoints.
The August 13 announcement resolves the earlier catalog-only boundary: V4 Pro is now explicitly GA on app, web, and API, and DeepSeek documents production gains plus flexible reasoning effort. The `0813` backend label still does not prove that a separately versioned 0813 checkpoint or architecture report exists.
DeepSeek's August 13 GA announcement confirms app, web, and API availability, low/high/max reasoning effort, Responses support, and the August 16 pricing transition. The live price table supplies exact peak and off-peak rates. The official Hugging Face model card still describes the generic public V4 Pro weights as a preview, so it does not establish a separately identified 0813 checkpoint. NIST evaluates the earlier public model; Reddit is used only for release, weight, pricing, and integration questions.
- Evaluate DeepSeek API pricing for long-context chat and agent workflows.
- Compare cache-hit and cache-miss token costs before running coding-agent loops.
- Use tool calls, JSON output, Responses API, and thinking mode in DeepSeek API experiments.
- Screen DeepSeek V4 Pro against GPT, Claude, Gemini, and Qwen model choices.
DeepSeek now explicitly calls V4 Pro generally available across app, web, and API. The request model remains `deepseek-v4-pro`, the hosted backend is `DeepSeek-V4-Pro-0813`, and the release adds documented low, high, and max reasoning effort plus native Responses API support optimized for Codex.
- Stable request model ID: `deepseek-v4-pro`; current hosted backend: `DeepSeek-V4-Pro-0813`.
- API surfaces: https://api.deepseek.com and https://api.deepseek.com/anthropic.
- Current feature boundary: JSON output, tool calls, Responses API, Anthropic API, chat prefix completion beta, and FIM in non-thinking mode.
Since August 16, DeepSeek charges V4 Pro $0.022 cache-hit input, $0.66 cache-miss input, and $1.98 output per 1M tokens off peak; peak rates are $0.044, $1.32, and $3.96. Peak hours are 01:00–04:00 and 06:00–10:00 UTC, Monday through Friday, and the account concurrency limit remains 500. The old uniform $0.003625/$0.435/$0.87 rates and future-increase warning are no longer current.
The official API catalog proves the hosted backend transition, but the official Hugging Face repository still exposes the generic `deepseek-ai/DeepSeek-V4-Pro` checkpoint and its model card still calls the V4 series a preview. DeepSeek has not published a separately identified 0813 checkpoint, architecture delta, launch benchmark table, or detailed 0813 changelog, so those claims remain unverified.
Hacker News and Reddit are useful here for demand and wording: users are asking whether DeepSeek has created a new low-cost floor for long-context agent work. Those discussions should not override DeepSeek pricing docs, and users should recheck the official pricing page before committing spend.
The API-selection fields that make DeepSeek V4 Pro comparable with other model endpoints.
Long-running harnesses are where cache behavior, tool calling, and output cost become operational decisions.
DeepSeek V4 Pro is not local, but it is often evaluated as a low-cost hosted escalation or provider-native option.
The company behind the V4 model family, DeepSeek Chat, public APIs, and open-weight research releases.
The July 31 API release adds re-post-training, native Responses API support, and an official Codex integration path.
Separate experimental API model for mixed text and image input; V4 Pro remains text-only.
DeepSeek-native coding agent that makes cache-aware API behavior visible in a terminal workflow.
High-end Anthropic coding and agent model used in cost and quality comparisons.
OpenAI frontier model used as a long-context and coding-agent comparison point.
Google Flash-tier model positioned around agentic coding, multimodal input, and long-horizon workflows.
Source confidence
DeepSeek API Docs
DeepSeek API Docs
DeepSeek API Docs
DeepSeek / Hugging Face
NIST CAISI
Reddit / r/vibecodingitalia
DeepSeek V4 Pro FAQ
Common questions about DeepSeek V4 Pro.
What does DeepSeek V4 Pro cost now?+
DeepSeek now uses peak and off-peak pricing. Off peak, V4 Pro costs $0.022 cache-hit input, $0.66 cache-miss input, and $1.98 output per 1M tokens; peak rates are $0.044, $1.32, and $3.96. Peak hours are 01:00–04:00 and 06:00–10:00 UTC, Monday through Friday.
Is DeepSeek V4 Pro officially released?+
Yes. DeepSeek's August 13 announcement explicitly makes V4 Pro generally available on app, web, and API. The stable API ID remains `deepseek-v4-pro`, mapped to the `DeepSeek-V4-Pro-0813` backend.
Does DeepSeek V4 Pro support the Responses API?+
Yes. DeepSeek's current Models & Pricing table lists Responses API support for both `deepseek-v4-pro` and `deepseek-v4-flash`.
Can I download DeepSeek-V4-Pro-0813 weights?+
DeepSeek has not published a separately identified `DeepSeek-V4-Pro-0813` checkpoint. The official Hugging Face repository provides MIT-licensed `deepseek-ai/DeepSeek-V4-Pro` weights, but its model card still describes the public V4 series as a preview, so do not assume those files are the hosted 0813 backend.
Why does cache-hit pricing matter for coding agents?+
Coding agents repeatedly send project context, tool results, plans, diffs, and review instructions. If the provider cache hits, repeated input can be much cheaper; if it misses, long sessions can become expensive. That makes cache policy a practical harness decision rather than a minor billing detail.