Relace: Relace Search vs Inception: Mercury 2.5: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Relace: Relace Search (relace/relace-search) vs Inception: Mercury 2.5 (inception/mercury-2.5). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Relace: Relace Search (relace/relace-search) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Relace: Relace Search: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.5/1M) or route via asynchronous Batch API for 50% off standard token rates.
Inception: Mercury 2.5 (inception/mercury-2.5) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Inception: Mercury 2.5: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.02/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Relace: Relace Search (API ID: relace/relace-search) vs Inception: Mercury 2.5 (API ID: inception/mercury-2.5), Inception: Mercury 2.5 offers lower standard input pricing at $0.04/1M tokens ($0.15/1M output), while Inception: Mercury 2.5 leads in cached prefix economics at $0.02/1M tokens (50% discount). Relace: Relace Search 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 | Relace: Relace Search | Inception: Mercury 2.5 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | relace/relace-search | inception/mercury-2.5 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1 / $3 | $0.04 / $0.15 | Inception: Mercury 2.5 |
| Cache Read Price (per 1M) | $0.5/1M (50% Off) | $0.02/1M (50% Off) | Inception: Mercury 2.5 |
| Context Window / Max Output | 250K In / 125K Out | 254K In / 64K Out | Relace: Relace Search |
| P90 First-Token / Edge Latency | 280ms | 280ms | Relace: Relace Search (-0ms) |
The relace-search model uses 4-12 `view_file` and `grep` tools in parallel to explore a codebase and return relevant files to the user request. In contrast to RAG, relace-search pe
Mercury 2.5 is the fastest reasoning LLM, and the latest diffusion LLM (dLLM) from Inception. Instead of generating tokens sequentially, Mercury 2.5 produces and refines multiple t
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 Relace: Relace Search to Inception: Mercury 2.5
Mercury 2.5 is the fastest reasoning LLM, and the latest diffusion LLM (dLLM) from Inception. Instead of generating tokens sequentially, Mercury 2.5 produces and refines multiple t Verified P90 latency of 280ms.