OpenAI: GPT-5.5 vs Mancer: Weaver (alpha): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: GPT-5.5 (openai/gpt-5.5) vs Mancer: Weaver (alpha) (mancer/weaver). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: GPT-5.5 (openai/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).
Mancer: Weaver (alpha) (mancer/weaver) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Mancer: Weaver (alpha): Activate ephemeral prefix caching to slash input costs by 50% (down to $0.2/1M) 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: openai/gpt-5.5) vs Mancer: Weaver (alpha) (API ID: mancer/weaver), Mancer: Weaver (alpha) offers lower standard input pricing at $0.4/1M tokens ($0.75/1M output), while Mancer: Weaver (alpha) leads in cached prefix economics at $0.2/1M tokens (50% discount). OpenAI: GPT-5.5 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 | OpenAI: GPT-5.5 | Mancer: Weaver (alpha) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-5.5 | mancer/weaver | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $5 / $30 | $0.4 / $0.75 | Mancer: Weaver (alpha) |
| Cache Read Price (per 1M) | $2.5/1M (50% Off) | $0.2/1M (50% Off) | Mancer: Weaver (alpha) |
| Context Window / Max Output | 1025K In / 125K Out | 8K In / 6K Out | OpenAI: GPT-5.5 |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: GPT-5.5 (-0ms) |
GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on ha
An attempt to recreate Claude-style verbosity, but don't expect the same level of coherence or memory. Meant for use in roleplay/narrative situations.
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 Mancer: Weaver (alpha)
An attempt to recreate Claude-style verbosity, but don't expect the same level of coherence or memory. Meant for use in roleplay/narrative situations. Verified P90 latency of 280ms.