Context Window
4,096
Tokens
Model Cost Profile
EleutherAI: Llemma 7b
Developer: eleutherai
Pricing updated Mar 11, 2026
Input rank: #232Output rank: #185
EleutherAI's Llemma 7b is a versatile language model with a context window of 4096 tokens, making it suitable for applications such as chatbots, content generation, and data analysis. Teams leveraging this API model can expect an input price of $0.80 per 1 million tokens and an output price of $1.20 per 1 million tokens, which can impact budgeting depending on the volume of data processed. Its efficient architecture allows for scalable integration into various workflows, enhancing productivity while managing costs effectively.
Input Price / 1M
$0.8000
Prompt tokens
Output Price / 1M
$1.20
Completion tokens
Intelligence (MMLU)
Benchmark Pending
Massive Multitask Language Understanding
Side-by-Side Pricing Table
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.8000 |
| Output (Completion) | $1.20 |
Price History
EleutherAI: Llemma 7b Pricing Trend
Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 — Mar 11
Current Input / 1M
$0.8000
Current Output / 1M
$1.20
Cost Calculator
Estimate monthly spend for EleutherAI: Llemma 7b based on your workload.
01.0B
0500M
Estimated Monthly Cost
$34
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 EleutherAI: Llemma 7b.
How much does EleutherAI: Llemma 7b cost per 1M input tokens?
EleutherAI: Llemma 7b input pricing is $0.8000 per 1M tokens based on the latest synced provider data.
How much does EleutherAI: Llemma 7b cost per 1M output tokens?
EleutherAI: Llemma 7b output pricing is $1.20 per 1M tokens based on the latest synced provider data.
What context window does EleutherAI: Llemma 7b support?
EleutherAI: Llemma 7b supports a context window of 4,096 tokens.
How can I compare EleutherAI: Llemma 7b 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.