Inception: Mercury 2 vs Qwen2.5 72B Instruct: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Inception: Mercury 2 (inception/mercury-2) vs Qwen2.5 72B Instruct (qwen/qwen-2.5-72b-instruct). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Inception: Mercury 2 (inception/mercury-2) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Inception: Mercury 2: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.125/1M) or route via asynchronous Batch API for 50% off standard token rates.
Qwen2.5 72B Instruct (qwen/qwen-2.5-72b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen2.5 72B Instruct: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.18/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Inception: Mercury 2 (API ID: inception/mercury-2) vs Qwen2.5 72B Instruct (API ID: qwen/qwen-2.5-72b-instruct), Inception: Mercury 2 offers lower standard input pricing at $0.25/1M tokens ($0.75/1M output), while Inception: Mercury 2 leads in cached prefix economics at $0.125/1M tokens (50% discount). Inception: Mercury 2 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 | Inception: Mercury 2 | Qwen2.5 72B Instruct | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | inception/mercury-2 | qwen/qwen-2.5-72b-instruct | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.25 / $0.75 | $0.36 / $0.4 | Inception: Mercury 2 |
| Cache Read Price (per 1M) | $0.125/1M (50% Off) | $0.18/1M (50% Off) | Inception: Mercury 2 |
| Context Window / Max Output | 125K In / 49K Out | 32K In / 16K Out | Inception: Mercury 2 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Inception: Mercury 2 (-0ms) |
Mercury 2 is an extremely fast reasoning LLM, and the first reasoning diffusion LLM (dLLM). Instead of generating tokens sequentially, Mercury 2 produces and refines multiple token
Qwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabi
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 Inception: Mercury 2 to Qwen2.5 72B Instruct
Qwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabi Verified P90 latency of 280ms.