🎁 View All $650K+ Manufacturer Credits →474 DeepSeek: R1 0528 Alternatives →

🐋 $0.07/1M AUTOMATIC DISK KV CACHE + OFF-PEAK PROMO

Value: 50%–75% Automatic Token Savings

DeepSeek: R1 0528 (deepseek/deepseek-r1-0528) — Automatic Disk KV Cache ($0.25/1M) & Off-Peak Promo

DeepSeek-V4 Pro (1.6T MoE) automatically caches repeated 64-token prompt prefixes on NVMe storage at $0.07/1M input tokens (50% off $0.14 base) with zero code changes required, plus off-peak UTC scheduling discounts.

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DeepSeek: R1 0528

API ID: deepseek/deepseek-r1-0528

May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 67

Official Console

Reddit & Production Telemetry Audit Note

Auto-discovered via live global telemetry registry.

Standard Input / Output$0.5 / $2.15

Promo Cache Read Rate$0.25/1M (50% Off)

Context / Max Output160K In / 32K Out

P90 First-Token Speed280ms

API ID: deepseek/deepseek-r1-0528

160K Context Window

32K Max Output

For Model-Loyal Power Users • Stretch Subscription Quota by 3.5x & Eliminate Hallucinations

OpenAI GPT-6.1 Sol [gpt-6.1-sol] Power-Up & Quota Booster Studio

Came specifically for OpenAI GPT-6.1 Sol? Don't waste your 5-hour subscription quota on bloated context or sycophantic retries. Compress prompts losslessly and compile model-calibrated `CLAUDE.md` / `.cursorrules` & MCP configs.

⚠️ Known OpenAI GPT-6.1 Sol Quirk (Reddit Audit)

2x price/quota cliff above 272K context & premature task completion claims without edge-case verification.

🔋 #1 Cause of 5-Hour Quota Drain

Unpruned RAG context crossing the 272,000 token threshold & redundant tool-call loops.

⚡ Calibrated Fix & Quota Multiplier

reasoning_effort: "medium" + max_context_guard: 265000 — Stretches your monthly usage quota by 3.6x.

1. Paste Bloated Prompt / Chat Thread / Repo Tree:~851 Tokens

After Lossless Compression:~238 Tokens (Saves 72% Quota • 3.6x More Messages!)

Unlock OpenAI GPT-6.1 Sol Mastery Pack & 3.5x Quota Stretcher ($19 One-Time)

Get instant lifetime access to the Lossless Context Compressor, custom `CLAUDE.md` / `.cursorrules` compiler, 2026 MCP bundle, and Multi-Model Relay generator for all 400+ models.

✓ Calibrated for OpenAI GPT-6.1 Sol (gpt-6.1-sol)

<context_handoff model_target="gpt-6.1-sol" domain="coding" compression_ratio="72%">
  <system_calibration>
    CRITICAL: Verify every file mutation against the type system before declaring completion. Never assume an external API or import exists without checking package.json.
    Enforce strict deterministic JSON schema outputs and zero placeholder comments.
    Optimal Config: reasoning_effort: "medium" + max_context_guard: 265000
  </system_calibration>
  <distilled_state>
    Stack: Next.js 14 SaaS Dashboard + Vector Search.
     Core Proposal to Audit: Client proposed storing session tokens in localStorage (HIGH XSS RISK -> Reject & recommend HttpOnly SameSite cookies) and running vector search on every keystroke (HIGH QUOTA/LATENCY DRAIN -> Reject & recommend 350ms debounced hybrid search + semantic cache).
  </distilled_state>
  <execution_directive>
    1. Red-team the proposed architecture in 3 bullet points.
    2. Output the complete, production-ready implementation with zero "// TODO" placeholders.
  </execution_directive>
</context_handoff>

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