Anthropic: Claude Haiku 4.5 vs OpenAI: GPT-5.6 Luna (batch): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Anthropic: Claude Haiku 4.5 (anthropic/claude-haiku-4.5) vs OpenAI: GPT-5.6 Luna (batch) (openai/gpt-5.6-luna:batch). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Anthropic: Claude Haiku 4.5 (anthropic/claude-haiku-4.5) — $25,000 Startup Credits & 50% Cache Promo
Anthropic's Q4 2026 developer promotion combines $25,000 in Claude API credits for early-stage builders with a permanent 20% base price reduction on Opus 5.5 ($4/$20), 0.05x ($0.20/1M) prompt cache reads, and 50% off Batch API processing ($2/$10 with 300K max output).
OpenAI: GPT-5.6 Luna (batch) (openai/gpt-5.6-luna: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).
In Etuki October 2026 FinOps telemetry comparing Anthropic: Claude Haiku 4.5 (API ID: anthropic/claude-haiku-4.5) vs OpenAI: GPT-5.6 Luna (batch) (API ID: openai/gpt-5.6-luna:batch), OpenAI: GPT-5.6 Luna (batch) offers lower standard input pricing at $0.1/1M tokens ($0.6/1M output), while OpenAI: GPT-5.6 Luna (batch) leads in cached prefix economics at $0.05/1M tokens (50% discount). Anthropic: Claude Haiku 4.5 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 | Anthropic: Claude Haiku 4.5 | OpenAI: GPT-5.6 Luna (batch) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | anthropic/claude-haiku-4.5 | openai/gpt-5.6-luna:batch | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1 / $5 | $0.1 / $0.6 | OpenAI: GPT-5.6 Luna (batch) |
| Cache Read Price (per 1M) | $0.5/1M (50% Off) | $0.05/1M (50% Off) | OpenAI: GPT-5.6 Luna (batch) |
| Context Window / Max Output | 195K In / 63K Out | 1025K In / 125K Out | OpenAI: GPT-5.6 Luna (batch) |
| P90 First-Token / Edge Latency | 280ms | 280ms | Anthropic: Claude Haiku 4.5 (-0ms) |
Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Clau
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic
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 Anthropic: Claude Haiku 4.5 to OpenAI: GPT-5.6 Luna (batch)
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic Verified P90 latency of 280ms.