Should you use Meta: Llama 3.3 70B Instruct (free)?
Meta: Llama 3.3 70B Instruct (free) is listed for chat workloads and supports a 131K context window.
Use it when OpenRouter's free tier is enough for evaluation, demos, or light production traffic.
Meta: Llama 3.3 70B Instruct (free) is listed for chat workloads and supports a 131K context window.
Use it when OpenRouter's free tier is enough for evaluation, demos, or light production traffic.
We found 6 provider listings for llama-3-3-70b-instruct. Check model ID, quota, pricing, and API format before switching providers.
| Provider | Model listing | Access | Context | API | Limits |
|---|---|---|---|---|---|
| | Meta: Llama 3.3 70B Instruct (free) | Free tier | 131K | OpenAI-style | 200 req/day (free tier) |
| | @cf/meta/llama-3.3-70b-instruct-fp8-fast | Free tier | 131K | Native | 10K neurons/day (shared) |
| | Meta-Llama-3.3-70B | Free tier | 131K | OpenAI-style | 15 RPM, 150 RPD |
| | llama-3.3-70b-versatile | Free tier | 131K | OpenAI-style | 30 RPM, 1,000 RPD |
| | Meta-Llama-3_3-70B-Instruct | Free tier | 131K | OpenAI-style | 2 RPM (anonymous) |
| | Llama-3.3-70B-Instruct | Free tier | 128K | Native | Varies |
| Model | Provider | Context | Access |
|---|---|---|---|
| @cf/meta/llama-3.3-70b-instruct-fp8-fast | Cloudflare Workers AI | 131K | Free tier |
| Meta-Llama-3.3-70B | GitHub Models | 131K | Free tier |
| llama-3.3-70b-versatile | Groq | 131K | Free tier |
| Meta-Llama-3_3-70B-Instruct | OVHcloud AI Endpoints | 131K | Free tier |
| Llama-3.3-70B-Instruct | NVIDIA NIM | 128K | Free tier |
Meta: Llama 3.3 70B Instruct (free) is tagged for chat in this catalog and works with OpenAI-compatible client libraries.
Meta: Llama 3.3 70B Instruct (free) is listed with free API access on OpenRouter, subject to the provider's quota and account policy.
The model ID shown in this catalog is meta-llama/llama-3.3-70b-instruct:free.
The listed free tier limit is 200 req/day (free tier). Limits can change per account tier, so confirm against the provider dashboard.
The listed context window is 131K tokens with up to 8K output tokens.
Popular open Llama workhorse for multilingual chat, coding, and self-hosting
For API keys, setup steps, and provider-level limits, see the OpenRouter provider page.