Apple
The reproducibility and transparency of large language models are crucial for advancing open research, ensuring the trustworthiness of results, and enabling investigations into data and model biases, as well as potential risks.
To this end, we release OpenELM, a state-of-the-art open language model.
Live access is not confirmed for this model. No current purchase price is advertised.
No current subscription pricing is tracked for this model.
Confirm this specific model, usage limits, and billing terms with the provider. A subscription does not automatically include API credits.
No login needed to compare. Prices are in USD; provider charges are separate from AI Market Cap plans. Context length, caching, tools, taxes, and regional terms can change the final cost. Open weights do not mean free hosting.
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Quality Score
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Arena ELO
272M
Parameters
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Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
12 of 22 public signals
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4.6K
Downloads
78
Likes
Apr 2024
Released
4/5 signals
0/4 signals
2/5 signals
3/4 signals
3/4 signals
Parameters
270M
Training compute
2.7e21 FLOP
Dataset scale
Not reported
Base model
Not reported
Source-reported access: Open weights (non-commercial) · Confident confidence
Gaps we are still tracking
This section gives the plain-English basics first: what the model is, how large it is, how much context it can handle, and whether it is still actively supported.
This tells you how you can use the model in practice: whether weights are open, whether an API exists, and what kinds of input or output it supports.
Capabilities