Model comparison
ReMM SLERP 13B vs GPT-5
Capability radar, value bars, and side-by-side posture.
ReMM SLERP 13B
Not scored
value score
GPT-5
94
value score
ReMM SLERP 13B ctx
—
GPT-5 ctx
400K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- GPT-594
Attribute tape
| Field | ReMM SLERP 13B | GPT-5 |
|---|---|---|
| Developer | Undi95 | OpenAI |
| Context | — | 400K |
| Modalities | Text, Code, Image, Audio | |
| Openness | — | Proprietary Model |
| Speed | — | Fast |
| Price | — | Mid-High |
| Value score | — | 94 |
| Summary | ReMM SLERP 13B is a 13-billion-parameter community language model built by Undi95 on the Llama 2 base, combining multiple open models via SLERP merging to produce a chat model optimized for roleplay, creative writing, and storytelling. It offers a ~6K context window and is distributed through OpenRouter and Hugging Face for affordable inference. | OpenAI frontier multimodal model. |