OpenAI: GPT-6.1 Sol Pro (batch) vs Relace: Relace Apply 3: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: GPT-6.1 Sol Pro (batch) (openai/gpt-6.1-sol-pro:batch) vs Relace: Relace Apply 3 (relace/relace-apply-3). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: GPT-6.1 Sol Pro (batch) (openai/gpt-6.1-sol-pro:batch) 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 Apply 3 (relace/relace-apply-3) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Relace: Relace Apply 3: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.425/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing OpenAI: GPT-6.1 Sol Pro (batch) (API ID: openai/gpt-6.1-sol-pro:batch) vs Relace: Relace Apply 3 (API ID: relace/relace-apply-3), Relace: Relace Apply 3 offers lower standard input pricing at $0.85/1M tokens ($1.25/1M output), while Relace: Relace Apply 3 leads in cached prefix economics at $0.425/1M tokens (50% discount). OpenAI: GPT-6.1 Sol Pro (batch) 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-6.1 Sol Pro (batch) | Relace: Relace Apply 3 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-6.1-sol-pro:batch | relace/relace-apply-3 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1 / $5 | $0.85 / $1.25 | Relace: Relace Apply 3 |
| Cache Read Price (per 1M) | $0.5/1M (50% Off) | $0.425/1M (50% Off) | Relace: Relace Apply 3 |
| Context Window / Max Output | 1025K In / 125K Out | 250K In / 125K Out | OpenAI: GPT-6.1 Sol Pro (batch) |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: GPT-6.1 Sol Pro (batch) (-0ms) |
GPT-6.1 Sol Pro is the same underlying model as [GPT-6.1 Sol](https://openrouter.ai/openai/gpt-6.1-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on c
Relace Apply 3 is a specialized code-patching LLM that merges AI-suggested edits straight into your source files. It can apply updates from GPT-4o, Claude, and others into your fil
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-6.1 Sol Pro (batch) to Relace: Relace Apply 3
Relace Apply 3 is a specialized code-patching LLM that merges AI-suggested edits straight into your source files. It can apply updates from GPT-4o, Claude, and others into your fil Verified P90 latency of 280ms.