WizardLM-2 8x22B vs Mistral: Mistral Small 3.1 24B: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing WizardLM-2 8x22B (microsoft/wizardlm-2-8x22b) vs Mistral: Mistral Small 3.1 24B (mistralai/mistral-small-3.1-24b-instruct). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
WizardLM-2 8x22B (microsoft/wizardlm-2-8x22b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for WizardLM-2 8x22B: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.31/1M) or route via asynchronous Batch API for 50% off standard token rates.
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.
In Etuki October 2026 FinOps telemetry comparing WizardLM-2 8x22B (API ID: microsoft/wizardlm-2-8x22b) vs Mistral: Mistral Small 3.1 24B (API ID: mistralai/mistral-small-3.1-24b-instruct), 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). WizardLM-2 8x22B 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 | WizardLM-2 8x22B | Mistral: Mistral Small 3.1 24B | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | microsoft/wizardlm-2-8x22b | mistralai/mistral-small-3.1-24b-instruct | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.62 / $0.62 | $0.351 / $0.555 | Mistral: Mistral Small 3.1 24B |
| Cache Read Price (per 1M) | $0.31/1M (50% Off) | $0.1755/1M (50% Off) | Mistral: Mistral Small 3.1 24B |
| Context Window / Max Output | 64K In / 8K Out | 125K In / 100K Out | Mistral: Mistral Small 3.1 24B |
| P90 First-Token / Edge Latency | 280ms | 280ms | WizardLM-2 8x22B (-0ms) |
WizardLM-2 8x22B is Microsoft AI's most advanced Wizard model. It demonstrates highly competitive performance compared to leading proprietary models, and it consistently outperform
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
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 WizardLM-2 8x22B to Mistral: Mistral Small 3.1 24B
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 Verified P90 latency of 280ms.