Context Window
6,144
Tokens
Model Cost Profile
ReMM SLERP 13B
Developer: undi95
Pricing updated Mar 11, 2026
Input rank: #200Output rank: #144
ReMM SLERP 13B, developed by undi95, features a substantial context window of 6144 tokens, making it suitable for applications requiring extensive text comprehension and generation, such as chatbots and document summarization. With an input price of $0.45 per million tokens and an output price of $0.65 per million tokens, teams can effectively manage their budget while leveraging the model for high-volume tasks. This model's pricing structure allows for scalable integration into various projects, ensuring cost-effective solutions for businesses that rely on natural language processing.
📋 Structured Output
Input Price / 1M
$0.4500
Prompt tokens
Output Price / 1M
$0.6500
Completion tokens
Intelligence (MMLU)
Benchmark Pending
Massive Multitask Language Understanding
Side-by-Side Pricing Table
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.4500 |
| Output (Completion) | $0.6500 |
Price History
ReMM SLERP 13B Pricing Trend
Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 — Mar 11
Current Input / 1M
$0.4500
Current Output / 1M
$0.6500
Cost Calculator
Estimate monthly spend for ReMM SLERP 13B based on your workload.
01.0B
0500M
Estimated Monthly Cost
$19
25M input + 12M output tokens
Cheaper Alternatives to Compare
Quick links for cost-down decisions before production rollout.
FAQ
Common pricing and benchmark questions for ReMM SLERP 13B.
How much does ReMM SLERP 13B cost per 1M input tokens?
ReMM SLERP 13B input pricing is $0.4500 per 1M tokens based on the latest synced provider data.
How much does ReMM SLERP 13B cost per 1M output tokens?
ReMM SLERP 13B output pricing is $0.6500 per 1M tokens based on the latest synced provider data.
What context window does ReMM SLERP 13B support?
ReMM SLERP 13B supports a context window of 6,144 tokens.
How can I compare ReMM SLERP 13B with cheaper alternatives?
Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.