OpenAI: GPT-4 vs Qwen2.5 72B Instruct: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: GPT-4 (openai/gpt-4) vs Qwen2.5 72B Instruct (qwen/qwen-2.5-72b-instruct). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: GPT-4 (openai/gpt-4) 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).
Qwen2.5 72B Instruct (qwen/qwen-2.5-72b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen2.5 72B Instruct: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.18/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing OpenAI: GPT-4 (API ID: openai/gpt-4) vs Qwen2.5 72B Instruct (API ID: qwen/qwen-2.5-72b-instruct), Qwen2.5 72B Instruct offers lower standard input pricing at $0.36/1M tokens ($0.4/1M output), while Qwen2.5 72B Instruct leads in cached prefix economics at $0.18/1M tokens (50% discount). OpenAI: GPT-4 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-4 | Qwen2.5 72B Instruct | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-4 | qwen/qwen-2.5-72b-instruct | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $30 / $60 | $0.36 / $0.4 | Qwen2.5 72B Instruct |
| Cache Read Price (per 1M) | $15/1M (50% Off) | $0.18/1M (50% Off) | Qwen2.5 72B Instruct |
| Context Window / Max Output | 8K In / 4K Out | 32K In / 16K Out | Qwen2.5 72B Instruct |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: GPT-4 (-0ms) |
OpenAI's flagship model, GPT-4 is a large-scale multimodal language model capable of solving difficult problems with greater accuracy than previous models due to its broader genera
Qwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabi
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-4 to Qwen2.5 72B Instruct
Qwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabi Verified P90 latency of 280ms.