GA live July 20, 2026 · Peak-valley pricing · 1M context · 80.6% SWE-bench · Migrate APIs by July 24
Summary: After three months of preview access, DeepSeek's V4 family officially hit general availability (GA) on July 20, 2026. The full release brings meaningful upgrades across agentic tasks, math, and coding — plus something the community has never seen from DeepSeek: time-based peak pricing. This guide covers the full timeline, CSA/HCA architecture, benchmark tables, honest comparisons vs. GPT-5.6 and Claude Fable 5, peak-valley pricing, and the July 24 API migration deadline.
| Date | Milestone |
|---|---|
| April 24, 2026 | V4 preview + MIT open weights (V4-Pro 1.6T, V4-Flash 284B) |
| May 2026 | Production-tuned Flash & Pro; API generally available |
| June 2026 | V4-Pro output permanently cut 75% to $0.87/M tokens |
| June 29, 2026 | Email to all API users: GA mid-July + first peak-valley pricing disclosure |
| July 19, 2026 | Gray-release access for select developers; press reports "full release tomorrow" |
| July 20, 2026 | GA release goes live |
| July 24, 2026 | deepseek-chat and deepseek-reasoner permanently retired |
Legacy endpoints expiring: deepseek-chat shuts down July 24 — production code still using old names will break
Peak pricing complexity: Business-hour rates double; unscheduled batch jobs get expensive fast
Closed-source cost ceiling: GPT-5.6 Sol and Claude Fable 5 run $15–50/M output — hard to justify at scale
1M context economics: Most models can't serve million-token windows without prohibitive KV cache costs
| Spec | V4-Pro | V4-Flash |
|---|---|---|
| Total parameters | 1.6 trillion | 284 billion |
| Active per token | 49B (3%) | 13B (4.6%) |
| Layers | 61 | 43 |
| Context window | 1,000,000 tokens | 1,000,000 tokens |
| Max output | 384K | 384K |
| Precision | FP4 (MoE experts) + FP8 | Same |
| Training data | 33T+ tokens | 32T+ tokens |
| License | MIT | MIT |
V4 replaced MLA from V2/V3 with a two-track hybrid:
At 1M tokens: 27% of V3.2 inference FLOPs; KV cache drops to 10% of V3.2 memory (Flash: 7%).
Manifold-Constrained Hyper-Connections (mHC) use a 4-channel residual stream governed by a doubly stochastic matrix — stable gradients through 61 layers. Muon optimizer (not AdamW) applies Newton-Schulz orthogonalization for faster, more stable training.
| Mode | Description | When to use |
|---|---|---|
| Non-think | Fast, no chain of thought | Routing, classification, simple Q&A |
| Think High | Explicit reasoning blocks | Debugging, medium complexity |
| Think Max | Maximum effort (384K+ context) | Complex math, multi-step agents |
Recommended sampling: temperature=1.0, top_p=1.0 across all modes.
| Benchmark | V4-Pro | Claude Fable 5 | GPT-5.6 Ultra | Claude Opus 4.8 |
|---|---|---|---|---|
| SWE-bench Verified | 80.6% open-weight record | 96.0% | N/A | ~69% |
| SWE-bench Pro | 55.4% | 80.3% | 78.1% | 69.2% |
| LiveCodeBench (Pass@1) | 93.5% | 88.1% | 87.4% | 83.2% |
| Codeforces Elo | 3,206 | — | — | — |
| Terminal-Bench 2.1 | 83.9% | 88.0% | 85.1% | 82.7% |
On real GitHub bug fixes (SWE-bench Verified), V4-Pro's 80.6% is the best open-weight score — tied with Gemini 3.1 Pro. Claude Fable 5 still leads overall at 96% Verified and 80.3% on harder SWE-bench Pro.
That's 116× cheaper for a 24% performance gap — hard to ignore at production volume.
| V4-Pro | GPT-5.6 Sol | Claude Fable 5 | |
|---|---|---|---|
| Open weights / self-hostable | Yes (MIT) | No | No |
| 1M context | Yes | Not confirmed | Yes |
| Best overall coding | Second tier | Second tier | Leads SWE-bench Pro |
| Best algorithms/math | Leads LiveCodeBench | Strong | — |
| Output cost (off-peak) | $0.87/M | ~$15/M | ~$50/M |
| Output cost (peak) | $1.74/M | — | — |
| Data sovereignty | Self-host possible | No | No |
Pick V4-Pro when: you need self-hosting, high-volume API calls, coding agents, or document analysis on a budget. Pick Fable 5 when: absolute best multi-file repo work and budget isn't primary. Pick GPT-5.6 when: terminal/shell agentic workflows (leads Terminal-Bench 2.1) or deep Microsoft 365 / Azure integration.
| Model | Item | Off-Peak | Peak |
|---|---|---|---|
| V4-Pro | Input (cache hit) | $0.0035/1M | 2× |
| Input (cache miss) | $0.435/1M | $0.87/1M | |
| Output | $0.87/1M | $1.74/1M | |
| V4-Flash | Input (cache hit) | $0.0028/1M | 2× |
| Input (cache miss) | $0.14/1M | $0.28/1M | |
| Output | $0.28/1M | $0.56/1M |
Peak hours (Beijing Time): Weekdays 09:00–12:00 and 14:00–18:00.
Schedule batch jobs off-peak (after 18:00 or before 09:00 Beijing time)
Maximize cache hits — static system prompts first in the message stack
Route simple queries to V4-Flash; escalate only complex reasoning to Pro
Monitor account email for 24-hour billing change notices
Use cron/queues to lock non-real-time work into off-peak windows
Even at peak, V4-Pro output at $1.74/M is 8.6× cheaper than Claude Opus 4.8 ($15/M).
Deadline: July 24, 2026, 15:59 UTC. Legacy names deepseek-chat and deepseek-reasoner will be permanently disabled.
| Old name | New equivalent | Notes |
|---|---|---|
deepseek-chat | deepseek-v4-flash (non-thinking) | Drop-in for most chat |
deepseek-reasoner | deepseek-v4-flash (thinking) or deepseek-v4-pro | Stronger reasoning on Pro |
# Old (stops July 24)
response = client.chat.completions.create(model="deepseek-chat", messages=[...])
# New
response = client.chat.completions.create(
model="deepseek-v4-pro", # or deepseek-v4-flash
messages=[...],
extra_body={"thinking": {"type": "enabled", "budget_tokens": 8000}}
)V4 supports both OpenAI-compatible and Anthropic Messages APIs — same base_url, update model only.
Short answer: Yes — especially if you care about cost, openness, or data control. You get the strongest open-weight coding model on SWE-bench Verified (80.6%), 1M context that actually works economically, pricing that beats every closed competitor even at peak, and multi-mode reasoning to dial speed vs. depth.
Peak pricing adds operational complexity for 24/7 pipelines, but off-peak rates stay aggressively cheap and the mitigation strategies are straightforward.
Performance on agents, math, and code improved; peak/off-peak pricing introduced. Same MoE architecture from April, now production-grade.
Beijing Time weekdays 09:00–12:00 and 14:00–18:00. Rates double.
Yes — permanently disabled July 24, 2026. Migrate to deepseek-v4-flash or deepseek-v4-pro.
DeepSeek V4 GA sets a new bar for open-weight value, but shipping it in production still means API migration, peak-hour scheduling, and agent orchestration in a real dev environment. If your daily driver is Windows or Linux and you need a native macOS GUI session to validate OpenClaw multi-model routing, benchmark against SWE-bench, or batch-test config changes before July 24, buying a Mac is expensive and SSH alone won't handle system permission dialogs. Renting a VNCMac remote Mac gives you hourly VNC access on an isolated node to wire up V4 APIs, run long-context agent tasks, and verify migrations — then stop paying when the sprint ends. See Mac rental plans to get started.