DeepSeek: DeepSeek V3.1 vs Anthropic: Claude Sonnet 4.6 (batch): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing DeepSeek: DeepSeek V3.1 (deepseek/deepseek-chat-v3.1) vs Anthropic: Claude Sonnet 4.6 (batch) (anthropic/claude-sonnet-4.6:batch). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
DeepSeek: DeepSeek V3.1 (deepseek/deepseek-chat-v3.1) — Automatic Disk KV Cache ($0.125/1M) & 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 Sonnet 4.6 (batch) (anthropic/claude-sonnet-4.6: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: DeepSeek V3.1 (API ID: deepseek/deepseek-chat-v3.1) vs Anthropic: Claude Sonnet 4.6 (batch) (API ID: anthropic/claude-sonnet-4.6:batch), DeepSeek: DeepSeek V3.1 offers lower standard input pricing at $0.25/1M tokens ($0.95/1M output), while DeepSeek: DeepSeek V3.1 leads in cached prefix economics at $0.125/1M tokens (50% discount). DeepSeek: DeepSeek V3.1 achieves a 0ms faster P90 time-to-first-token latency (280ms vs 280ms).
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| Specification / FinOps Dimension | DeepSeek: DeepSeek V3.1 | Anthropic: Claude Sonnet 4.6 (batch) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | deepseek/deepseek-chat-v3.1 | anthropic/claude-sonnet-4.6:batch | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.25 / $0.95 | $1.5 / $7.5 | DeepSeek: DeepSeek V3.1 |
| Cache Read Price (per 1M) | $0.125/1M (50% Off) | $0.75/1M (50% Off) | DeepSeek: DeepSeek V3.1 |
| Context Window / Max Output | 160K In / 32K Out | 977K In / 125K Out | Anthropic: Claude Sonnet 4.6 (batch) |
| P90 First-Token / Edge Latency | 280ms | 280ms | DeepSeek: DeepSeek V3.1 (-0ms) |
DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 ba
Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex c
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: DeepSeek V3.1 to Anthropic: Claude Sonnet 4.6 (batch)
Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex c Verified P90 latency of 280ms.