Mistral: Mistral Small 3.2 24B vs Qwen: Qwen3.8 Max (0902): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Mistral: Mistral Small 3.2 24B (mistralai/mistral-small-3.2-24b-instruct) vs Qwen: Qwen3.8 Max (0902) (qwen/qwen3.8-max-0902). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Mistral: Mistral Small 3.2 24B (mistralai/mistral-small-3.2-24b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Mistral: Mistral Small 3.2 24B: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.0375/1M) 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 Mistral: Mistral Small 3.2 24B (API ID: mistralai/mistral-small-3.2-24b-instruct) vs Qwen: Qwen3.8 Max (0902) (API ID: qwen/qwen3.8-max-0902), Mistral: Mistral Small 3.2 24B offers lower standard input pricing at $0.075/1M tokens ($0.2/1M output), while Mistral: Mistral Small 3.2 24B leads in cached prefix economics at $0.0375/1M tokens (50% discount). Mistral: Mistral Small 3.2 24B 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 | Mistral: Mistral Small 3.2 24B | Qwen: Qwen3.8 Max (0902) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | mistralai/mistral-small-3.2-24b-instruct | qwen/qwen3.8-max-0902 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.075 / $0.2 | $2 / $6 | Mistral: Mistral Small 3.2 24B |
| Cache Read Price (per 1M) | $0.0375/1M (50% Off) | $1/1M (50% Off) | Mistral: Mistral Small 3.2 24B |
| Context Window / Max Output | 250K In / 16K Out | 977K In / 128K Out | Qwen: Qwen3.8 Max (0902) |
| P90 First-Token / Edge Latency | 280ms | 280ms | Mistral: Mistral Small 3.2 24B (-0ms) |
Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compare
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 Mistral: Mistral Small 3.2 24B 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.