Last refreshed 2026-10-18. Next refresh: weekly.
Why use Nous Hermes 2 Mixtral 8x7B on Fireworks AI?
Fireworks AI offers Nous Hermes 2 Mixtral 8x7B. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.
Compare Nous Hermes 2 Mixtral 8x7B across 4 providers to find the best fit for your use caseInput / 1M
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Output / 1M
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Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install openaiAuth
export FIREWORKS_API_KEY=...Call
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["FIREWORKS_API_KEY"],Model ID
accounts/fireworks/models/nous-hermes-2-mixtral-8x7b-dpoRequest example
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["FIREWORKS_API_KEY"],
base_url="https://api.fireworks.ai/inference/v1"
)
response = client.chat.completions.create(
model="accounts/fireworks/models/nous-hermes-2-mixtral-8x7b-dpo",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "accounts/fireworks/models/nous-hermes-2-mixtral-8x7b-dpo", not the LLMReference slug "nous-hermes2-mixtral-8x7b".
- Fireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".
- The examples expect FIREWORKS_API_KEY; rename it only if your application config maps the new variable.
Compare Nous Hermes 2 Mixtral 8x7B Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| OctoAI API (Deprecated) | — | — |
| Fireworks AI | — | — |
| Together AI | $0.40 | $0.40 |
| OctoML (Deprecated) | $0.40 | $0.60 |
Capabilities
No model capability flags are currently sourced.
About Nous Hermes 2 Mixtral 8x7B
Mixtral MoE variant of Hermes trained on 1M+ GPT-4 entries for content generation and customer service. Available in quantized formats (GGUF, GPTQ, AWQ) for flexible deployment.
Model Specs
Released2023-12-12
Parameters8x7B
Context32K
ArchitectureMixture of Experts
Knowledge cutoff2023-12