DeepSeek V4 Day 1: PulseAgent and Open-Source SDR Template Ship 1M Context Support
DeepSeek dropped V4 today (2026-04-24) with two variants:
- V4-Flash (284B total, 13B active, non-thinking) — $0.14 input / $0.28 output per 1M tokens
- V4-Pro (1.6T total, 49B active, thinking) — $1.74 input / $3.48 output per 1M tokens
Native 1M-token context, server-side prompt caching, OpenAI + Anthropic protocol dual-compatibility. Our PulseAgent SaaS and open-source B2B SDR template both shipped Day 1 support.
Why export sales teams need 1M context
A real overseas buyer thread: initial outreach → inquiry → quote → sample → contract → shipping → post-sales. 8 months later, 200+ emails back and forth.
With 128K-context models you were forced to summarize. Summarization loses detail — the AI forgets the payment terms the buyer promised three months ago, the discount you offered on the first shipment, the quality issue that was resolved but might resurface.
V4's 1M lets you feed the entire email history in one prompt. When chasing an overdue payment, the AI can quote the buyer's own commitment from 5 months earlier — not from memory, but because all the evidence is in the window.
The pricing magic: prompt caching is 5x cheaper
In sustained conversations (most of the prompt stays stable across messages), DeepSeek's server-side cache kicks in — input price drops from $0.14/1M to $0.028/1M.
Math: A sales rep running 100 follow-ups a day with 500K-context prompts pays ~$15/month after cache hits. Same volume on GPT-4o: ~$375. That's 25x cheaper.
For a team chasing 50+ overseas buyers daily, that's half a headcount saved monthly.
What shipped today
Managed SaaS (pulseagent.io)
The model pool now lists V4-Flash (Tier 1) + V4-Pro (Tier 2). Dashboard toggle, no migration required. Smart router handles the split:
- 80% of volume — inquiry replies, follow-up nudges, sample tracking — routes to Flash. Minimal cost.
- 20% of hard cases — price negotiation, contract disputes, tax/compliance — auto-escalates to Pro.
One DeepSeek API key powers both. No manual switching.
Open source (MIT, b2b-sdr-agent-template)
Default primary switched to deepseek-v4-flash, fallback deepseek-v4-pro. One-line install:
curl -fsSL https://raw.githubusercontent.com/iPythoning/b2b-sdr-agent-template/main/install.sh | bash
Sets up a full WhatsApp + Telegram + email SDR agent in 5 minutes.
Tested: V4-Flash understands export sales
A prompt we ran today: "List 5 pain points foreign-trade bosses hit when following up customers."
V4-Flash returned:
- Buyers keep requesting sample changes — massive time cost
- Payment delays after the order is placed
- Port-of-arrival refusal or discount demands
- Constant order spec changes
- Quality disputes and refund negotiations
Every point specific, zero generic SaaS fluff. V4's priors on export business verticals are noticeably sharper than V3. The response even surfaces prompt_cache_miss_tokens in the usage object — cache hit rate is trackable at the response layer.
When to use V4-Pro instead of Flash
Flash covers 80% of SDR workflows. Pro is for reasoning-heavy cases:
- Price negotiation — reason about cost + FX + competitor positioning in one pass
- Contract review — clause analysis, dispute logic
- Cross-border complexity — tax, customs, certification compliance
Pro's reasoning mode emits a thinking trace before the conclusion — like watching a senior rep work through the decision, not a black-box answer.
Legacy models: what happens next
deepseek-chat (V3) and deepseek-reasoner (R1) are scheduled for deprecation on 2026-07-24. The PulseAgent model pool already relabeled V3 as "V3 (Legacy — maps to V4-Flash, deprecates 2026-07-24)" so existing users see the migration path clearly.
For paying users: migration is zero cost. Swap the model ID and the price actually drops (V3 $0.27 → V4-Flash $0.14 input).
Try it today
- Managed: pulseagent.io
- Open source: github.com/iPythoning/b2b-sdr-agent-template
DeepSeek V4 released today. Your AI sales rep is already using it.
