QWEN 3 6 27B vs Mistral: Mistral Medium 3.5: Live Promos, Pricing, Hidden Fees & Latency
QWEN 3 6 27B (gpt-6.1-sol) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for QWEN 3 6 27B: Activate ephemeral prefix caching to slash input costs by 75% (down to $0.5/1M) or route via asynchronous Batch API for 50% off standard token rates.
Mistral: Mistral Medium 3.5 (mistralai/mistral-medium-3-5) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Mistral: Mistral Medium 3.5: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.75/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing QWEN 3 6 27B (API ID: gpt-6.1-sol) vs Mistral: Mistral Medium 3.5 (API ID: mistralai/mistral-medium-3-5), Mistral: Mistral Medium 3.5 offers lower standard input pricing at $1.5/1M tokens ($7.5/1M output), while QWEN 3 6 27B leads in cached prefix economics at $0.5/1M tokens (75% discount). QWEN 3 6 27B achieves a 135ms faster P90 time-to-first-token latency (145ms vs 280ms).
Context Cliff Alert: Prompts exceeding 272K tokens double in price from $2/$10 to $4/$15 per 1M tokens.
Auto-discovered via live global telemetry registry.
| Specification / FinOps Dimension | QWEN 3 6 27B | Mistral: Mistral Medium 3.5 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | gpt-6.1-sol | mistralai/mistral-medium-3-5 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $2 / $10 | $1.5 / $7.5 | Mistral: Mistral Medium 3.5 |
| Cache Read Price (per 1M) | $0.5/1M (75% Off) | $0.75/1M (50% Off) | QWEN 3 6 27B |
| Context Window / Max Output | 256K In / 128K Out | 256K In / 205K Out | Mistral: Mistral Medium 3.5 |
| P90 First-Token / Edge Latency | 145ms | 280ms | QWEN 3 6 27B (-135ms) |
OpenAI October 2026 flagship reasoning & coding model delivering near-Astra intelligence at 1/5th the cost.
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 3 6 27B to Mistral: Mistral Medium 3.5
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.