DeepSeek: R1 0528 vs Anthropic: Claude Fable 5.1 (batch): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing DeepSeek: R1 0528 (deepseek/deepseek-r1-0528) vs Anthropic: Claude Fable 5.1 (batch) (anthropic/claude-fable-5.1:batch). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
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.
Anthropic: Claude Fable 5.1 (batch) (anthropic/claude-fable-5.1:batch) — $25,000 Startup Credits & 50% Cache Promo
Anthropic's Q4 2026 developer promotion combines $25,000 in Claude API credits for early-stage builders with a permanent 20% base price reduction on Opus 5.5 ($4/$20), 0.05x ($0.20/1M) prompt cache reads, and 50% off Batch API processing ($2/$10 with 300K max output).
In Etuki October 2026 FinOps telemetry comparing DeepSeek: R1 0528 (API ID: deepseek/deepseek-r1-0528) vs Anthropic: Claude Fable 5.1 (batch) (API ID: anthropic/claude-fable-5.1:batch), DeepSeek: R1 0528 offers lower standard input pricing at $0.5/1M tokens ($2.15/1M output), while DeepSeek: R1 0528 leads in cached prefix economics at $0.25/1M tokens (50% discount). DeepSeek: R1 0528 achieves a 0ms faster P90 time-to-first-token latency (280ms vs 280ms).
Auto-discovered via live global telemetry registry.
Auto-discovered via live global telemetry registry.
| Specification / FinOps Dimension | DeepSeek: R1 0528 | Anthropic: Claude Fable 5.1 (batch) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | deepseek/deepseek-r1-0528 | anthropic/claude-fable-5.1:batch | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.5 / $2.15 | $5 / $25 | DeepSeek: R1 0528 |
| Cache Read Price (per 1M) | $0.25/1M (50% Off) | $2.5/1M (50% Off) | DeepSeek: R1 0528 |
| Context Window / Max Output | 160K In / 32K Out | 977K In / 125K Out | Anthropic: Claude Fable 5.1 (batch) |
| P90 First-Token / Edge Latency | 280ms | 280ms | DeepSeek: R1 0528 (-0ms) |
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
Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, fro
Real-Time Stack Cost & Hidden-Fee Simulator (MAU / Token / Egress / GMV)
Calibrated with Reddit r/FinOps & r/devops telemetry: Includes Context Caching, Bandwidth Egress, and MoR Tax
🛰️Switch from DeepSeek: R1 0528 to Anthropic: Claude Fable 5.1 (batch)
Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, fro Verified P90 latency of 280ms.