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Together AI

ReMM SLERP L2 13B on Together AI

Re:MythoMax · Undi95

Serverless

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

Why use ReMM SLERP L2 13B on Together AI?

Together AI offers ReMM SLERP L2 13B with pay-as-you-go pricing at $0.30/1M 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 ReMM SLERP L2 13B across 2 providers to find the best fit for your use case
Input / 1M
$0.30
Output / 1M
$0.30
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="remm-slerp-l2-13b",
Model ID
remm-slerp-l2-13b

Request example

from together import Together

client = Together()  # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
    model="remm-slerp-l2-13b",
    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 ReMM SLERP L2 13B Across Providers

ProviderInput (per 1M)Output (per 1M)
Together AI$0.30$0.30
OpenRouter$0.45$0.65

Pricing

TypePrice (per 1M)
Input tokens$0.30
Output tokens$0.30

Capabilities

Structured Outputs

About ReMM SLERP L2 13B

The ReMM SLERP L2 13B, developed by Undi95, is a large language model that reimagines the original MythoMax-L2-B13 with enhanced architecture and techniques. Utilizing the SLERP method, it combines foundational models like Mythologic and Huginn to boost performance and versatility in natural language processing tasks. Built on the Llama architecture with 13 billion parameters, it effectively handles complex language scenarios with a context length of 4096 tokens. Renowned for its text generation and instruction-following prowess, the model supports various quantized formats for optimized hardware performance, although it requires significant computational resources and varies in output quality based on the quantization method used.

FAQ

What does ReMM SLERP L2 13B cost on Together AI?

On Together AI, ReMM SLERP L2 13B costs $0.3 per 1M input tokens and $0.3 per 1M output tokens.

How does Together AI compare to other ReMM SLERP L2 13B providers?

ReMM SLERP L2 13B is available from 2 providers. The cheapest input pricing is $0.3/1M tokens from Together AI.

Who created ReMM SLERP L2 13B?

ReMM SLERP L2 13B was created by Undi95 as part of the Re:MythoMax model family.

Is ReMM SLERP L2 13B open source?

ReMM SLERP L2 13B's open source status is unknown in the seed data.

Get Started

Model Specs

Released2023-12-20
Parameters13B
ArchitectureDecoder Only