ReMM SLERP 13B
ReMM SLERP 13B is a text-only model from undi95 with a 6,144-token context window and a maximum output of 4,096 tokens. It accepts no image or audio input, does not support tool use or reasoning modes, and has no confirmed structured output capability. For straightforward text generation tasks that fit within a moderate context budget, the model covers the basic requirements without additional features. At $0.45 per million input tokens and $0.65 per million output tokens, it sits in a budget-friendly range relative to larger or more capable alternatives. The significant drawback for comparison purposes is that it carries zero independent benchmark coverage, so there is no standardized performance data to weigh against competing models. Buyers who prioritize low cost and have low-stakes use cases may find it worth trialing, but anyone needing verified quality benchmarks before committing should treat this model as unproven.
- Model ID
- undi95/remm-slerp-l2-13b
- Vendor
- undi95
- Released
- July 2023
- Tokenizer
- Llama2
- Input Modalities
- text
- Output Modalities
- text
- Max Output
- 4,096 tokens
- Tool Calling
- not supported
- Structured Output
- ✓ supported
- Reasoning Mode
- not supported
- Vision
- text only
- Audio
- no
- Moderated
- no
What it costs in practice
Computed from the current $0.45/M input and $0.65/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | $0.01 |
| Classify 1,000 customer emails | 500k in / 50k out | $0.26 |
| A month of a busy support chatbot | 5M in / 2M out | $3.55 |
Quick answers
- How much does ReMM SLERP 13B cost?
- $0.45 per million input tokens and $0.65 per million output tokens.
- What is ReMM SLERP 13B's context window?
- 6,144 tokens, roughly 9 pages of text in a single request.
- Does ReMM SLERP 13B support tool calling?
- It supports structured output.
- Can ReMM SLERP 13B process images?
- No, it is text-only on the input side.