DeepSeek: DeepSeek V4 Pro 0813 vs Qwen: Qwen2.5 7B Instruct: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing DeepSeek: DeepSeek V4 Pro 0813 (deepseek/deepseek-v4-pro-0813) vs Qwen: Qwen2.5 7B Instruct (qwen/qwen-2.5-7b-instruct). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
DeepSeek: DeepSeek V4 Pro 0813 (deepseek/deepseek-v4-pro-0813) — Automatic Disk KV Cache ($0.66/1M) & 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.
Qwen: Qwen2.5 7B Instruct (qwen/qwen-2.5-7b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen: Qwen2.5 7B Instruct: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.05/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing DeepSeek: DeepSeek V4 Pro 0813 (API ID: deepseek/deepseek-v4-pro-0813) vs Qwen: Qwen2.5 7B Instruct (API ID: qwen/qwen-2.5-7b-instruct), Qwen: Qwen2.5 7B Instruct offers lower standard input pricing at $0.1/1M tokens ($0.2/1M output), while Qwen: Qwen2.5 7B Instruct leads in cached prefix economics at $0.05/1M tokens (50% discount). DeepSeek: DeepSeek V4 Pro 0813 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 0813 | Qwen: Qwen2.5 7B Instruct | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | deepseek/deepseek-v4-pro-0813 | qwen/qwen-2.5-7b-instruct | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1.32 / $3.96 | $0.1 / $0.2 | Qwen: Qwen2.5 7B Instruct |
| Cache Read Price (per 1M) | $0.66/1M (50% Off) | $0.05/1M (50% Off) | Qwen: Qwen2.5 7B Instruct |
| Context Window / Max Output | 1024K In / 384K Out | 32K In / 29K Out | DeepSeek: DeepSeek V4 Pro 0813 |
| P90 First-Token / Edge Latency | 280ms | 280ms | DeepSeek: DeepSeek V4 Pro 0813 (-0ms) |
DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.
Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabil
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 0813 to Qwen: Qwen2.5 7B Instruct
Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabil Verified P90 latency of 280ms.