OpenAI: GPT-5 (batch) vs Reflection: Beam 1.0 501B A23B: Live Promos, Pricing, Hidden Fees & Latency
OpenAI: GPT-5 (batch) (openai/gpt-5: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).
Reflection: Beam 1.0 501B A23B (reflection/beam-1.0-501b-a23b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Reflection: Beam 1.0 501B A23B: Activate ephemeral prefix caching to slash input costs by 50% (down to 0.15/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing OpenAI: GPT-5 (batch) (API ID: openai/gpt-5:batch) vs Reflection: Beam 1.0 501B A23B (API ID: reflection/beam-1.0-501b-a23b), Reflection: Beam 1.0 501B A23B offers lower standard input pricing at $0.3/1M tokens ($1/1M output), while Reflection: Beam 1.0 501B A23B leads in cached prefix economics at $0.15/1M tokens (50% discount). OpenAI: GPT-5 (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-5 (batch) | Reflection: Beam 1.0 501B A23B | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-5:batch | reflection/beam-1.0-501b-a23b | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.625 / $5 | $0.3 / $1 | Reflection: Beam 1.0 501B A23B |
| Cache Read Price (per 1M) | $0.3125/1M (50% Off) | $0.15/1M (50% Off) | Reflection: Beam 1.0 501B A23B |
| Context Window / Max Output | 391K In / 125K Out | 1024K In / 922K Out | Reflection: Beam 1.0 501B A23B |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: GPT-5 (batch) (-0ms) |
GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reas
Beam 1.0 is Reflection's open-weight reasoning model for coding and long-horizon agentic workflows. It uses a sparse mixture-of-experts architecture with 501B total and 23B active
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 (batch) to Reflection: Beam 1.0 501B A23B
Beam 1.0 is Reflection's open-weight reasoning model for coding and long-horizon agentic workflows. It uses a sparse mixture-of-experts architecture with 501B total and 23B active Verified P90 latency of 280ms.