DeepSeek: DeepSeek V3 vs OpenAI: GPT-5.6 Sol: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing DeepSeek: DeepSeek V3 (deepseek/deepseek-chat) vs OpenAI: GPT-5.6 Sol (openai/gpt-5.6-sol). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
DeepSeek: DeepSeek V3 (deepseek/deepseek-chat) — Automatic Disk KV Cache ($0.16/1M) & 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.
OpenAI: GPT-5.6 Sol (openai/gpt-5.6-sol) Startup Credits & Batch API 50% Off Promo
OpenAI GPT-6.1 Sol ($2/$10 base rate) qualifies for immediate 75% automatic prefix caching ($0.50/1M), 50% off 24-hour Batch API completions ($1/$5), and up to $150,000 in OpenAI/Azure Foundry credits via Microsoft for Startups Founders Hub (no VC funding required for initial tiers).
In Etuki October 2026 FinOps telemetry comparing DeepSeek: DeepSeek V3 (API ID: deepseek/deepseek-chat) vs OpenAI: GPT-5.6 Sol (API ID: openai/gpt-5.6-sol), DeepSeek: DeepSeek V3 offers lower standard input pricing at $0.32/1M tokens ($0.89/1M output), while DeepSeek: DeepSeek V3 leads in cached prefix economics at $0.16/1M tokens (50% discount). DeepSeek: DeepSeek V3 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: DeepSeek V3 | OpenAI: GPT-5.6 Sol | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | deepseek/deepseek-chat | openai/gpt-5.6-sol | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.32 / $0.89 | $4 / $20 | DeepSeek: DeepSeek V3 |
| Cache Read Price (per 1M) | $0.16/1M (50% Off) | $2/1M (50% Off) | DeepSeek: DeepSeek V3 |
| Context Window / Max Output | 160K In / 16K Out | 1025K In / 125K Out | OpenAI: GPT-5.6 Sol |
| P90 First-Token / Edge Latency | 280ms | 280ms | DeepSeek: DeepSeek V3 (-0ms) |
DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tok
GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic workflows, and is particularly strong at command-line and mult
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 to OpenAI: GPT-5.6 Sol
GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic workflows, and is particularly strong at command-line and mult Verified P90 latency of 280ms.