⚠️ Important Update: Effective August 17, 2026, DeepSeek implemented peak/off-peak pricing. V4-Pro and V4-Flash rates changed significantly. Peak hours (weekdays 9:00-12:00, 14:00-18:00 Beijing time) cost 2x off-peak rates. This article reflects the latest pricing.

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📰 Latest Update (Oct 6, 2026)

DeepSeek Harness v0.2.1 ships official desktop apps + Claude Code Mods compatibility: On Oct 3, DeepSeek released dsh v0.2.1 (MIT, ~243K GitHub stars) with Windows x64 / macOS desktop apps and an experimental Claude Code Mods compatibility layer — validating that Mods APIs are broadly a subset of dsh’s everything-is-a-plugin architecture. The self-hosted, plugin-first coding-agent ecosystem keeps expanding, making open-source agents an increasingly cost-effective alternative for teams running DeepSeek APIs in production.

DeepSeek publishes DSec, its sandbox infrastructure for large-scale agentic training: On Sep 23, DeepSeek released the system paper "DeepSeek Elastic Compute (DSec): A Sandbox Infrastructure for Effective Agentic Training at Scale" (arXiv 2609.22978, 31 pages, 100+ authors including Liang Wenfeng), detailing its production agent-training platform: one production cell packs ~160 CPU nodes, 30,000 CPU cores and 250TB DRAM, serving ~3 million sandboxes per day with peak concurrency of 380,000+ and creation speed of 5,000+ sandboxes/second; all RL training and evaluation from DeepSeek V3.2 to V4.1 has run on DSec. On-demand image loading cuts 8,192-container startup time by ~42%. As agentic training scales demand for CPU, memory and sandbox capacity, elastic on-demand compute remains the key to controlling costs.

1. Latest DeepSeek Pricing (Effective Aug 17, 2026)

DeepSeek now offers three main model versions with time-based pricing:

ModelBilling ItemOff-PeakPeakUnit
V4-Pro
(Flagship)
Input (cache miss)$0.63$1.25per 1M tokens
Input (cache hit)$0.02$0.04per 1M tokens
Output$1.88$3.75per 1M tokens
V4-Flash
(Fast/Light)
Input (cache miss)$0.21$0.42per 1M tokens
Input (cache hit)$0.007$0.014per 1M tokens
Output$0.63$1.25per 1M tokens
V3
(Stable)
Input/OutputInput $0.14 / Output $0.56 (flat rate)per 1M tokens

Peak hours: Weekdays 9:00-12:00 and 14:00-18:00 (Beijing time, UTC+8). All other 17 hours on weekdays, plus weekends and public holidays, are off-peak (50% of peak price). Prices shown in USD at approximate 7.2 CNY/USD rate.

2. Platform Comparison

Below is a comparison of major platforms offering DeepSeek-V3 API access:

PlatformModelInputOutputSLARating
Alibaba Cloud BailianDeepSeek-V3$0.14/1M$0.56/1M99.9%★★★★★
DeepSeek-R1$0.56/1M$2.22/1M
Volcano EngineDeepSeek-V3$0.14/1M$0.56/1M99.9%★★★★☆
SiliconFlowDeepSeek-V3$0.13/1M$0.53/1M99.5%★★★★☆
DeepSeek OfficialDeepSeek-V3$0.14/1M$0.56/1MNone★★★☆☆

Alibaba Cloud Bailian DeepSeek-R1 pricing: Input $0.56/1M tokens, output $2.22/1M tokens (Beijing region). R1 excels at mathematical reasoning, coding, and logical inference tasks.

3. Cost-Saving Strategies with Peak/Off-Peak Pricing

4. Enterprise Selection Criteria

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FAQ

How are peak/off-peak hours defined?

Peak: weekdays 9:00-12:00 and 14:00-18:00 Beijing time (UTC+8). Off-peak: all other hours on weekdays, plus all weekends and Chinese public holidays. Off-peak rates are 50% of peak rates.

What is the difference between V3 and V4?

V3 is the stable version with flat-rate pricing ($0.14 input / $0.56 output per 1M tokens). V4-Pro is the flagship reasoning model with peak/off-peak pricing. V4-Flash is the lightweight, cost-effective option. Choose based on your task complexity and budget.

What is prompt caching?

When multiple requests share the same prefix (such as a system prompt), DeepSeek caches that content. Subsequent requests pay the cache-hit rate, which is dramatically cheaper. V4-Pro cache-hit input is only $0.02/1M off-peak.

How can I further reduce API costs?

1) Run non-urgent batch jobs during off-peak hours; 2) Purchase pre-paid resource packages; 3) Optimize prompts to maximize cache hits; 4) Use Flash instead of Pro for simple tasks; 5) Purchase through authorized channels for additional discounts.