Model pricing
Mixtral 8x7B Instruct pricing
Mixtral 8x7B Instruct by Databricks costs $0.5 per 1M input tokens and
Mixtral 8x7B Instruct pricing
per 1M output tokens (cached input not recorded, batch input not recorded) as of 2026-10-31. A 1,000-input/500-output request costs $0.001. The lowest-cost alternative with at least this context window and the same recorded reasoning category is lfm-2.2-6b at $0.01/$0.02; capability equivalence is not guaranteed.Notes
Moe model
Key pricing facts
| Fact | Value |
|---|---|
| Input / 1M tokens | $0.5 |
| Output / 1M tokens | $1 |
| Cached input / 1M | Not recorded |
| Batch input / output / 1M | Not recorded |
| Context window | 32,768 |
| Provider | Databricks |
| Last verified | No model-specific verification date recorded |
| Snapshot updated | 2026-10-31 |
Last updated: · Source: No official provider pricing URL recorded · Methodology
Frequently asked questions
What does Mixtral 8x7B Instruct cost per million tokens?
Input costs $0.5 and output costs $1 per million tokens. The 1,000-input/500-output example costs $0.001, before discounts, taxes, hidden reasoning tokens or context-tier surcharges.
Does Mixtral 8x7B Instruct have cached or batch pricing?
Cached input: not separately recorded. Batch: not recorded in this dataset. Eligibility and cache-write charges depend on the provider; these discounts are not automatically stacked.
What is a cheaper alternative to Mixtral 8x7B Instruct?
lfm-2.2-6b costs $0.01 input and $0.02 output per million tokens. This comparison matches context capacity and reasoning category, not benchmark quality. Test your workload before replacing a model.
How often are these prices verified?
The live pricing table synchronizes stored model records daily; public file snapshots update when the site is rebuilt. Synchronization is not independent provider verification. Snapshot updated 2026-10-31. No model-specific verification date is recorded; the snapshot date must not be interpreted as an official provider verification.