Magnum v4 72B vs Qwen: Qwen3.8 Max (0902): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Magnum v4 72B (anthracite-org/magnum-v4-72b) vs Qwen: Qwen3.8 Max (0902) (qwen/qwen3.8-max-0902). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Magnum v4 72B (anthracite-org/magnum-v4-72b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Magnum v4 72B: Activate ephemeral prefix caching to slash input costs by 50% (down to $1.25/1M) or route via asynchronous Batch API for 50% off standard token rates.
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 Magnum v4 72B (API ID: anthracite-org/magnum-v4-72b) 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). Magnum v4 72B 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 | Magnum v4 72B | Qwen: Qwen3.8 Max (0902) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | anthracite-org/magnum-v4-72b | qwen/qwen3.8-max-0902 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $2.5 / $5 | $2 / $6 | Qwen: Qwen3.8 Max (0902) |
| Cache Read Price (per 1M) | $1.25/1M (50% Off) | $1/1M (50% Off) | Qwen: Qwen3.8 Max (0902) |
| Context Window / Max Output | 32K In / 4K Out | 977K In / 128K Out | Qwen: Qwen3.8 Max (0902) |
| P90 First-Token / Edge Latency | 280ms | 280ms | Magnum v4 72B (-0ms) |
This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet(https://openrouter.ai/anthropic/claude-3.5-sonnet) and Opus(https://o
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 Magnum v4 72B 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.