Mixtral-8x7B Instruct v0.1 vs Nous Hermes 2 Mixtral 8X7B Dpo
On provider list prices, Mixtral-8x7B Instruct v0.1 costs $0.60 per million input tokens against $0.60 for Nous Hermes 2 Mixtral 8X7B Dpo: effectively level. Output is $0.60 against $0.60. On Allocate both bill at list plus the 7% transaction fee.
Specifications and provider list prices from the Allocate catalog, checked 2026-07-08. Billed price is list plus the 7% transaction fee.
What the numbers say
Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $930 a month on Mixtral-8x7B Instruct v0.1 and $930 on Nous Hermes 2 Mixtral 8X7B Dpo at list: a gap of $0.
Choose Mixtral-8x7B Instruct v0.1 for
- Fine-tuning under a permissive license (Apache 2.0)
Choose Nous Hermes 2 Mixtral 8X7B Dpo for
- Fine-tuning under a permissive license (Apache 2.0)
Common questions
Which is cheaper, Mixtral-8x7B Instruct v0.1 or Nous Hermes 2 Mixtral 8X7B Dpo?
Mixtral-8x7B Instruct v0.1, on this workload shape. At list prices it is $0.60/$0.60 per million tokens in and out against $0.60/$0.60 for Nous Hermes 2 Mixtral 8X7B Dpo. Billed on Allocate: $0.64/$0.64 against $0.64/$0.64, list plus 7%.
Which has the bigger context window?
They match: both read 32,768 tokens (32K) per request.
Can I fine-tune Mixtral-8x7B Instruct v0.1 or Nous Hermes 2 Mixtral 8X7B Dpo?
Both publish open weights (Mixtral-8x7B Instruct v0.1: Apache 2.0; Nous Hermes 2 Mixtral 8X7B Dpo: Apache 2.0), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.
Related comparisons
Run the numbers on your workload
Or don’t choose. On Allocate a route name is the contract: point yours at one model today, swap to the other tomorrow, and compare them on your live traffic with per-token metering.