Mistral: Mistral Small 3.1 24B vs Qwen: Qwen3.7 Max: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Mistral: Mistral Small 3.1 24B (mistralai/mistral-small-3.1-24b-instruct) vs Qwen: Qwen3.7 Max (qwen/qwen3.7-max). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Mistral: Mistral Small 3.1 24B (mistralai/mistral-small-3.1-24b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Mistral: Mistral Small 3.1 24B: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.1755/1M) or route via asynchronous Batch API for 50% off standard token rates.
Qwen: Qwen3.7 Max (qwen/qwen3.7-max) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen: Qwen3.7 Max: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.7375/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Mistral: Mistral Small 3.1 24B (API ID: mistralai/mistral-small-3.1-24b-instruct) vs Qwen: Qwen3.7 Max (API ID: qwen/qwen3.7-max), Mistral: Mistral Small 3.1 24B offers lower standard input pricing at $0.351/1M tokens ($0.555/1M output), while Mistral: Mistral Small 3.1 24B leads in cached prefix economics at $0.1755/1M tokens (50% discount). Mistral: Mistral Small 3.1 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 3.1 24B | Qwen: Qwen3.7 Max | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | mistralai/mistral-small-3.1-24b-instruct | qwen/qwen3.7-max | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.351 / $0.555 | $1.475 / $4.425 | Mistral: Mistral Small 3.1 24B |
| Cache Read Price (per 1M) | $0.1755/1M (50% Off) | $0.7375/1M (50% Off) | Mistral: Mistral Small 3.1 24B |
| Context Window / Max Output | 125K In / 100K Out | 977K In / 128K Out | Qwen: Qwen3.7 Max |
| P90 First-Token / Edge Latency | 280ms | 280ms | Mistral: Mistral Small 3.1 24B (-0ms) |
Mistral Small 3.1 24B Instruct is an upgraded variant of Mistral Small 3 (2501), featuring 24 billion parameters with advanced multimodal capabilities. It provides state-of-the-art
Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, o
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 3.1 24B to Qwen: Qwen3.7 Max
Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, o Verified P90 latency of 280ms.