Qwen: Qwen3 30B A3B vs Mistral: Mistral Medium 3.5 (batch): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Qwen: Qwen3 30B A3B (qwen/qwen3-30b-a3b) vs Mistral: Mistral Medium 3.5 (batch) (mistralai/mistral-medium-3-5:batch). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Qwen: Qwen3 30B A3B (qwen/qwen3-30b-a3b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen: Qwen3 30B A3B: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.06/1M) or route via asynchronous Batch API for 50% off standard token rates.
Mistral: Mistral Medium 3.5 (batch) (mistralai/mistral-medium-3-5:batch) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Mistral: Mistral Medium 3.5 (batch): Activate ephemeral prefix caching to slash input costs by 50% (down to $0.375/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Qwen: Qwen3 30B A3B (API ID: qwen/qwen3-30b-a3b) vs Mistral: Mistral Medium 3.5 (batch) (API ID: mistralai/mistral-medium-3-5:batch), Qwen: Qwen3 30B A3B offers lower standard input pricing at $0.12/1M tokens ($0.5/1M output), while Qwen: Qwen3 30B A3B leads in cached prefix economics at $0.06/1M tokens (50% discount). Qwen: Qwen3 30B A3B 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 | Qwen: Qwen3 30B A3B | Mistral: Mistral Medium 3.5 (batch) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | qwen/qwen3-30b-a3b | mistralai/mistral-medium-3-5:batch | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.12 / $0.5 | $0.75 / $3.75 | Qwen: Qwen3 30B A3B |
| Cache Read Price (per 1M) | $0.06/1M (50% Off) | $0.375/1M (50% Off) | Qwen: Qwen3 30B A3B |
| Context Window / Max Output | 40K In / 16K Out | 256K In / 205K Out | Mistral: Mistral Medium 3.5 (batch) |
| P90 First-Token / Edge Latency | 280ms | 280ms | Qwen: Qwen3 30B A3B (-0ms) |
Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, an
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, 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 Qwen: Qwen3 30B A3B to Mistral: Mistral Medium 3.5 (batch)
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, a Verified P90 latency of 280ms.