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Together AI

Snorkel Mistral PairRM on Together AI

Snorkel · Snorkel AI

Serverless

Last refreshed 2026-05-11. Next refresh: weekly.

Why use Snorkel Mistral PairRM on Together AI?

Together AI offers Snorkel Mistral PairRM with pay-as-you-go pricing at $0.20/1M input tokens. Together AI is a platform for running open-source and proprietary LLMs with fast serverless and dedicated endpoints at competitive inference pricing.

Compare Snorkel Mistral PairRM across 2 providers to find the best fit for your use case
Input / 1M
$0.20
Output / 1M
$0.20
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install together
Auth
export TOGETHER_API_KEY=...
Call
from together import Together
client = Together()  # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
    model="snorkel-mistral-pairrm",
Model ID
snorkel-mistral-pairrm

Request example

from together import Together

client = Together()  # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
    model="snorkel-mistral-pairrm",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Gotchas

  • Together uses "organization/model-name" format, e.g. "meta-llama/Llama-4-Scout-17B-16E-Instruct" or "Qwen/QwQ-32B". See the Together model catalog for the exact ID.
  • The examples expect TOGETHER_API_KEY; rename it only if your application config maps the new variable.

Compare Snorkel Mistral PairRM Across Providers

ProviderInput (per 1M)Output (per 1M)
Together AI$0.20$0.20
Fireworks AI$0.20$0.20

Pricing

TypePrice (per 1M)
Input tokens$0.20
Output tokens$0.20

Capabilities

No model capability flags are currently sourced.

About Snorkel Mistral PairRM

The Snorkel Mistral PairRM-DPO is a chat-optimized large language model, leveraging the Mistral-7B-Instruct-v0.2 architecture. Designed to interpret and respond efficiently to user inputs, it employs Direct Preference Optimization alongside the Pairwise Reward Model (PairRM) to enhance its alignment with human preferences. Exclusively trained on the UltraFeedback dataset without input from other LLMs, it excels in generating text for conversational contexts, ranking third on the AlpacaEval 2.0 leaderboard at 30.22. Post-processing with PairRM-best-of-16 boosts its score to 34.86. Despite its strengths, the model has limitations, including the absence of moderation features, a possible bias towards longer responses influenced by the evaluation benchmark, and challenges in understanding its complex internal mechanics.

FAQ

What does Snorkel Mistral PairRM cost on Together AI?

On Together AI, Snorkel Mistral PairRM costs $0.2 per 1M input tokens and $0.2 per 1M output tokens.

How does Together AI compare to other Snorkel Mistral PairRM providers?

Snorkel Mistral PairRM is available from 2 providers. The cheapest input pricing is $0.2/1M tokens from Together AI.

Who created Snorkel Mistral PairRM?

Snorkel Mistral PairRM was created by Snorkel AI as part of the Snorkel model family.

Is Snorkel Mistral PairRM open source?

Snorkel Mistral PairRM's open source status is unknown in the seed data.

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Model Specs

Released2023-11-15
ArchitectureDecoder Only