Meta Llama: Llama 3.3 70B Instruct
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Model Card
Llama 3.3 70B Instruct is Meta's refined 70 billion parameter multilingual model with improved instruction following and tool use capabilities. It supports 8 languages and offers enhanced reasoning performance over previous versions.
Context Window 131K
tokens
Max Output 120K
tokens
Input Cost $0.14
per million tokens
Output Cost $0.4
per million tokens
Release Date Dec 6, 2024
Output Speed 99
tokens / sec
Latency 0.63s
time to first token
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>
More AI Models From Meta Llama
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Muse Spark Open
Muse Spark Open is an open-weight multimodal model from Meta, released on October 15, 2026. It is a mixture-of-experts model with 816B total and 42B active parameters and a 1,048,576-token context window. It accepts text, image, video, and audio input and returns text. It is aimed at agentic and tool-use work. Meta reports that it leads the open models it compared against on the agentic benchmarks MCP-Atlas and JobBench, and that it trails some closed Chinese models such as Kimi K3 and GLM 5.3 on the coding benchmark Terminal-Bench 2.1. These results are vendor-reported. It supports tool calling, structured output, and configurable reasoning effort. It suits developers who want an agent-capable model with open weights from a US lab.
ChatMuse Wonder
Muse Wonder is a multimodal agent model from Meta Superintelligence Labs, built on Muse Spark and released on October 12, 2026. It accepts text, images, video, audio, and PDF input, returns text, and has a 1,048,576-token context window. It is designed for long, multi-step agent work such as coding, legal and financial documents, and tasks across several apps. It supports tool calling, structured output, and configurable reasoning effort. Meta reports 78.8 on DeepSWE 1.1 and 53.1 on SWE-Marathon, and Artificial Analysis gives it an Intelligence Index score of 52, up from 48 for Muse Spark 1.3. Its per-token price is below Claude Fable 5.1 ($10 input, $50 output), though Claude Opus 5.5 scores higher on the index and on OSWorld.
ChatMuse Spark 1.3
Muse Spark 1.3 is Meta Superintelligence Labs' follow-up to the coding-focused Muse Spark 1.2, released on September 2, 2026. It targets long-horizon agentic work, multi-agent orchestration, and extended multi-step coding tasks. On Meta's own harness it scored 88.8% on Terminal-Bench 2.1, level with OpenAI's GPT-5.6 Sol, and 75.4% on DeepSWE 1.1, up from 59.3% for 1.2. These are vendor-reported numbers, not yet independently verified. Artificial Analysis gives it an Intelligence Index score of 48, up from 40 for Muse Spark 1.2, and Anthropic's Opus 5 still leads it on several agent benchmarks. It keeps the 1,048,576-token context window, text, image, video, and PDF input, and tool calling from earlier versions, at the same $1.25 per million input and $4.25 per million output token pricing.
Frequently Asked Questions
Llama 3.3 70B Instruct is no longer available through Puter.js. Explore other AI models for alternatives.
| Price per 1M tokens | |
|---|---|
| Input | $0.14 |
| Output | $0.4 |
Llama 3.3 70B Instruct was created by Meta Llama and released on Dec 6, 2024.
Llama 3.3 70B Instruct supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.
Llama 3.3 70B Instruct can generate up to 120K tokens in a single response.
Llama 3.3 70B Instruct scores 7.7 on the Artificial Analysis Intelligence Index, outperforming 29% of tracked models. On coding, it scores 11.9 (outperforms 11% of models). On math, it scores 7.7 (outperforms 11% of models).
Yes — the Llama 3.3 70B Instruct 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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