OpenAI: GPT-4 vs Qwen: Qwen3.8 Max (0902): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: GPT-4 (openai/gpt-4) vs Qwen: Qwen3.8 Max (0902) (qwen/qwen3.8-max-0902). 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).
Qwen: Qwen3.8 Max (0902) (qwen/qwen3.8-max-0902) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen: Qwen3.8 Max (0902): Activate ephemeral prefix caching to slash input costs by 50% (down to $1/1M) 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 Qwen: Qwen3.8 Max (0902) (API ID: qwen/qwen3.8-max-0902), Qwen: Qwen3.8 Max (0902) offers lower standard input pricing at $2/1M tokens ($6/1M output), while Qwen: Qwen3.8 Max (0902) leads in cached prefix economics at $1/1M 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 | Qwen: Qwen3.8 Max (0902) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-4 | qwen/qwen3.8-max-0902 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $30 / $60 | $2 / $6 | Qwen: Qwen3.8 Max (0902) |
| Cache Read Price (per 1M) | $15/1M (50% Off) | $1/1M (50% Off) | Qwen: Qwen3.8 Max (0902) |
| Context Window / Max Output | 8K In / 4K Out | 977K In / 128K Out | Qwen: Qwen3.8 Max (0902) |
| 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
Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input a
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 Qwen: Qwen3.8 Max (0902)
Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input a Verified P90 latency of 280ms.