Anthropic Claude Fable 5.2 vs DeepSeek-R1 (Reasoner) — API Pricing, 150K Cache & Latency Benchmark
Side-by-side unit economics audit comparing Anthropic Claude Fable 5.2 (anthropic/claude-fable-5-2: Input $8/1M, Output $40/1M, Warm Cache Read $0.2/1M) against DeepSeek-R1 (Reasoner) (deepseek/deepseek-reasoner: Input $0.55/1M, Output $2.19/1M, Warm Cache Read $0.14/1M).
Activate 4-breakpoint prefix caching on Anthropic Claude Fable 5.2 to cut input token costs from $8/1M down to $0.2/1M, or route async workloads via Batch API for 50% off.
Lock static system prompt prefixes on DeepSeek-R1 (Reasoner) to pay $0.14/1M warm cache rates instead of $0.55/1M uncached input, plus eligible startup cloud credits.
In Etuki FinOps telemetry comparing Anthropic Claude Fable 5.2 (API ID: anthropic/claude-fable-5-2) vs DeepSeek-R1 (Reasoner) (API ID: deepseek/deepseek-reasoner), DeepSeek-R1 (Reasoner) offers lower standard uncached input pricing at $0.55/1M tokens, while DeepSeek-R1 (Reasoner) leads in 10-turn 150K cache-pinned coding economics at $0.3153 per 10 turns (saving $1.9547 over Anthropic Claude Fable 5.2). For latency-sensitive interactive agents, Anthropic Claude Fable 5.2 delivers 420ms faster P90 time-to-first-token (460ms vs 880ms).
| Specification / FinOps Dimension | Anthropic Claude Fable 5.2 (anthropic/claude-fable-5-2) | DeepSeek-R1 (Reasoner) (deepseek/deepseek-reasoner) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | anthropic/claude-fable-5-2 | deepseek/deepseek-reasoner | UMCE 563-Registry Locked |
| 563-Registry & Routing Eligibility | is_known: true | routable: true | is_known: true | routable: true | Both Merkle Verified |
| Standard Uncached Input (/1M tokens) | $8 / 1M | $0.55 / 1M | DeepSeek-R1 (Reasoner) |
| Warm Prefix Cache Read (/1M tokens) | $0.2 / 1M | $0.14 / 1M | DeepSeek-R1 (Reasoner) |
| Standard Output (/1M tokens) | $40 / 1M | $2.19 / 1M | DeepSeek-R1 (Reasoner) |
| Context Window Capacity | 1000K Tokens | 200K Tokens | Anthropic Claude Fable 5.2 |
| 150K Prompt × 10 Turns (Unpinned Cold + 2K Out) | $12.8000 | $0.8688 | DeepSeek-R1 (Reasoner) |
| 150K × 10 Turns Case A (100% Static Pinned) | $2.2700 (saves $10.5300) | $0.3153 (saves $0.5535) | DeepSeek-R1 (Reasoner) (-$1.9547) |
| 150K × 10 Turns Case B (90% Static + 10% Tail) | $3.3230 (saves $9.4770) | $0.3707 (saves $0.4981) | DeepSeek-R1 (Reasoner) |
| P50 / P90 First-Token Latency | 286ms / 460ms (92 tok/s) | 598ms / 880ms (64 tok/s) | Anthropic Claude Fable 5.2 (-420ms) |
1. Full-Turn Rate-Card Substitution for Anthropic Claude Fable 5.2: At an uncached input rate of $8/1M, output rate of $40/1M, and warm cache read rate of $0.2/1M, running 10 consecutive 150,000-token coding agent turns (with 2,000 output tokens/turn) without prefix pinning costs $12.8000. Locking 100% static prefixes (Case A: 1 cold turn + 9 warm cached turns + 20K total output) reduces 10-turn spend to $2.2700 (saving $10.5300); under a 90% static prefix + 10% dynamic tail workload (Case B), 10-turn spend is $3.3230.
2. Full-Turn Rate-Card Substitution for DeepSeek-R1 (Reasoner) & Winner Verdict: On DeepSeek-R1 (Reasoner) ($0.55/1M input, $2.19/1M output, $0.14/1M warm cache), 10 unpinned 150K turns cost $0.8688, dropping to $0.3153 in Case A and $0.3707 in Case B. Across every 10-turn 150K coding loop (including output tokens), DeepSeek-R1 (Reasoner) delivers an additional $1.9547 Case-A cost advantage.
Production Workload TCO: 25,000 MAU • 50M Tokens/Mo (50% Cache Hit) • 2,000 GB Egress
💡 Optimal FinOps Verdict: Deploying DeepSeek-R1 (Reasoner) saves $528.30/month ($6340/year) at 25,000 MAU & 50M monthly tokens (80% input / 20% output split with 50% prefix cache hit rate).