Meta Llama: Meta Llama 3 8B Instruct Lite
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Meta Llama 3 8B Instruct Lite is a cost-optimized serving tier for Meta's Llama 3 8B Instruct, an 8-billion-parameter open-weight chat model pretrained on over 15 trillion tokens.
Despite its small size, it delivers strong reasoning, coding, and general-purpose conversation. On published benchmarks it scores around 67.4 on MMLU, 79.6% on GSM8K math, and 62.2% on HumanEval coding, making it highly competitive among models in its tier.
The Lite tier offers the same quality at a lower per-token price, making it a great fit for developers who need fast, affordable responses for chat assistants, summarization, classification, and lightweight coding tasks at scale.
Context Window 8K
tokens
Max Output 8K
tokens
Input Cost $0.14
per million tokens
Output Cost $0.14
per million tokens
Input text
modalities
Knowledge Cutoff Mar 2023
Release Date Apr 18, 2024
Code Example
Add AI to your app with the Puter.js AI API, no API keys or setup required.
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms").then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms").then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
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ChatMuse Glimmer 30B
Muse Glimmer 30B is a 30-billion-parameter dense model from Meta Superintelligence Labs, pairing a causal transformer with a 1.8-billion-parameter vision encoder for text and image input. It's released under an Apache 2.0 license, Meta's first fully open-weight model since Muse Spark moved to a paid API. On Meta's own benchmarks, it scores 76.0 on SWE-Bench Verified, 51.2 on SWE-Bench Pro, 94.7 on AIME 2026, 83.5 on GPQA Diamond, 75.5 on MCP Atlas, and 74.6 on DeepSearch QA, ahead of similarly sized open models like Gemma4 31B and Qwen3.6 27B on Meta's reporting. These figures are vendor-reported and not independently verified. Where Muse Spark targets large-scale multi-agent orchestration, Muse Glimmer sits a size tier down, aimed at tool use, multi-step reasoning, coding, and LLM-as-a-judge evaluation with a 131,072-token context window. It fits developers who want agentic and coding capability at lower cost than the larger Muse Spark models.
ChatMuse Spark 1.1
Muse Spark 1.1 is a multimodal reasoning model from Meta Superintelligence Labs, built for agentic workflows. It accepts text, images, video, audio, and PDF documents as input and returns text, with a 1,048,576-token context window. The model is designed to orchestrate multi-agent workflows, acting as either a main agent that plans and delegates tasks or as a subagent, and it generalizes zero-shot to new tools, MCP servers, and custom skills. It supports parallel function calling, structured output, built-in search with citations, and configurable reasoning effort, and Meta reports strong results on coding across large codebases, computer-use tasks, and visual-to-code generation. This is Meta's first model available through a paid API, priced at $1.25 per million input tokens and $4.25 per million output tokens, aimed at developers building agentic coding tools and enterprise workflow automation.
Frequently Asked Questions
Meta Llama 3 8B Instruct Lite is no longer available through Puter.js. Explore other AI models for alternatives.
| Price per 1M tokens | |
|---|---|
| Input | $0.14 |
| Output | $0.14 |
Meta Llama 3 8B Instruct Lite was created by Meta Llama and released on Apr 18, 2024.
Meta Llama 3 8B Instruct Lite supports a context window of 8K tokens. For reference, that is roughly equivalent to 16 pages of text.
Meta Llama 3 8B Instruct Lite can generate up to 8K tokens in a single response.
Meta Llama 3 8B Instruct Lite has a knowledge cutoff date of Mar 2023. This means the model was trained on data available up to that date.
Meta Llama 3 8B Instruct Lite accepts the following input types: text. It produces: text.
Yes — the Meta Llama 3 8B Instruct Lite API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
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