OpenAI GPT-5.5 vs Relace: Relace Search: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI GPT-5.5 (gpt-5.5) vs Relace: Relace Search (relace/relace-search). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI GPT-5.5 (gpt-5.5) 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).
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.
In Etuki October 2026 FinOps telemetry comparing OpenAI GPT-5.5 (API ID: gpt-5.5) vs Relace: Relace Search (API ID: relace/relace-search), Relace: Relace Search offers lower standard input pricing at $1/1M tokens ($3/1M output), while Relace: Relace Search leads in cached prefix economics at $0.5/1M tokens (50% discount). Relace: Relace Search achieves a 40ms faster P90 time-to-first-token latency (280ms vs 320ms).
Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.
Auto-discovered via live global telemetry registry.
| Specification / FinOps Dimension | OpenAI GPT-5.5 | Relace: Relace Search | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | gpt-5.5 | relace/relace-search | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $5 / $30 | $1 / $3 | Relace: Relace Search |
| Cache Read Price (per 1M) | $2.5/1M (50% Off) | $0.5/1M (50% Off) | Relace: Relace Search |
| Context Window / Max Output | 1000K In / 128K Out | 250K In / 125K Out | OpenAI GPT-5.5 |
| P90 First-Token / Edge Latency | 320ms | 280ms | Relace: Relace Search (-40ms) |
Flagship GPT-5 series general model with configurable reasoning_effort from none to xhigh.
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
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 OpenAI GPT-5.5 to Relace: Relace Search
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 Verified P90 latency of 280ms.