Context Window
6,144
Input tokens
Full-context input ≈ $0.00
Model Cost Profile
Developer: undi95· Tokenizer: Llama2 · Instruct: alpaca · Quantization: bf16
Canonical ID: undi95/remm-slerp-l2-13b
Pricing updated Apr 22, 2026
Live Pricing
Input: $0.4500
Output: $0.6500
Last synced Apr 22, 2026
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.
Context Window
6,144
Input tokens
Full-context input ≈ $0.00
Max Output
4,096
Completion tokens
Input Price / 1M
$0.4500
Prompt tokens
Output Price / 1M
$0.6500
Completion tokens
Top Benchmark
Pending
No benchmark data yet
Price History
Current Input / 1M
$0.4500
Current Output / 1M
$0.6500
Performance History
Current TPS
0.00
Current Latency
0ms
Uptime
57.7%
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.4500 |
| Output (Completion) | $0.6500 |
Estimate monthly spend for ReMM SLERP 13B based on your workload.
Estimated Monthly Cost
$19
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.