Mistral: Mistral Medium 3.1 (batch) vs Qwen: Qwen3.5 Plus 2026-04-20: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Mistral: Mistral Medium 3.1 (batch) (mistralai/mistral-medium-3.1:batch) vs Qwen: Qwen3.5 Plus 2026-04-20 (qwen/qwen3.5-plus-20260420). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Mistral: Mistral Medium 3.1 (batch) (mistralai/mistral-medium-3.1:batch) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Mistral: Mistral Medium 3.1 (batch): Activate ephemeral prefix caching to slash input costs by 50% (down to $0.1/1M) or route via asynchronous Batch API for 50% off standard token rates.
Qwen: Qwen3.5 Plus 2026-04-20 (qwen/qwen3.5-plus-20260420) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen: Qwen3.5 Plus 2026-04-20: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.15/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Mistral: Mistral Medium 3.1 (batch) (API ID: mistralai/mistral-medium-3.1:batch) vs Qwen: Qwen3.5 Plus 2026-04-20 (API ID: qwen/qwen3.5-plus-20260420), Mistral: Mistral Medium 3.1 (batch) offers lower standard input pricing at $0.2/1M tokens ($1/1M output), while Mistral: Mistral Medium 3.1 (batch) leads in cached prefix economics at $0.1/1M tokens (50% discount). Mistral: Mistral Medium 3.1 (batch) 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 Medium 3.1 (batch) | Qwen: Qwen3.5 Plus 2026-04-20 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | mistralai/mistral-medium-3.1:batch | qwen/qwen3.5-plus-20260420 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.2 / $1 | $0.3 / $1.8 | Mistral: Mistral Medium 3.1 (batch) |
| Cache Read Price (per 1M) | $0.1/1M (50% Off) | $0.15/1M (50% Off) | Mistral: Mistral Medium 3.1 (batch) |
| Context Window / Max Output | 128K In / 102K Out | 977K In / 64K Out | Mistral: Mistral Medium 3.1 (batch) |
| P90 First-Token / Edge Latency | 280ms | 280ms | Mistral: Mistral Medium 3.1 (batch) (-0ms) |
Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at signifi
Qwen3.5 Plus (April 2026) is a large-scale multimodal language model from Alibaba. It accepts text, image, and video input and produces text output, with a 1M token context window.
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 Medium 3.1 (batch) to Qwen: Qwen3.5 Plus 2026-04-20
Qwen3.5 Plus (April 2026) is a large-scale multimodal language model from Alibaba. It accepts text, image, and video input and produces text output, with a 1M token context window. Verified P90 latency of 280ms.