DeepSeek: DeepSeek V4 Pro 0423 vs OpenAI: GPT-6 Sol Pro (batch): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing DeepSeek: DeepSeek V4 Pro 0423 (deepseek/deepseek-v4-pro) vs OpenAI: GPT-6 Sol Pro (batch) (openai/gpt-6-sol-pro:batch). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
DeepSeek: DeepSeek V4 Pro 0423 (deepseek/deepseek-v4-pro) — Automatic Disk KV Cache ($0.2213/1M) & 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-6 Sol Pro (batch) (openai/gpt-6-sol-pro:batch) 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 V4 Pro 0423 (API ID: deepseek/deepseek-v4-pro) vs OpenAI: GPT-6 Sol Pro (batch) (API ID: openai/gpt-6-sol-pro:batch), DeepSeek: DeepSeek V4 Pro 0423 offers lower standard input pricing at $0.4427/1M tokens ($0.8853/1M output), while DeepSeek: DeepSeek V4 Pro 0423 leads in cached prefix economics at $0.2213/1M tokens (50% discount). DeepSeek: DeepSeek V4 Pro 0423 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 V4 Pro 0423 | OpenAI: GPT-6 Sol Pro (batch) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | deepseek/deepseek-v4-pro | openai/gpt-6-sol-pro:batch | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.4427 / $0.8853 | $1 / $5 | DeepSeek: DeepSeek V4 Pro 0423 |
| Cache Read Price (per 1M) | $0.2213/1M (50% Off) | $0.5/1M (50% Off) | DeepSeek: DeepSeek V4 Pro 0423 |
| Context Window / Max Output | 1024K In / 375K Out | 1025K In / 125K Out | DeepSeek: DeepSeek V4 Pro 0423 |
| P90 First-Token / Edge Latency | 280ms | 280ms | DeepSeek: DeepSeek V4 Pro 0423 (-0ms) |
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designe
GPT-6 Sol Pro is the same underlying model as [GPT-6 Sol](https://openrouter.ai/openai/gpt-6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex
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 V4 Pro 0423 to OpenAI: GPT-6 Sol Pro (batch)
GPT-6 Sol Pro is the same underlying model as [GPT-6 Sol](https://openrouter.ai/openai/gpt-6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex Verified P90 latency of 280ms.