Last refreshed 2026-06-15. 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 caseSetup recipe
Python + curlpip install togetherexport TOGETHER_API_KEY=...from together import Together
client = Together() # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
model="remm-slerp-l2-13b",remm-slerp-l2-13bRequest 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
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Together AI | $0.30 | $0.30 |
| OpenRouter | $0.45 | $0.65 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.30 |
| Output tokens | $0.30 |
Capabilities
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.