Llama 4 Scout 17B is Meta's latest-generation small-footprint model with an exceptionally large 10M-token context window — meaning you can ingest entire codebases, multi-hour transcripts, or thousand-page documents in a single request.
https://api.cloudflare.com/client/v4/accounts/{account_id}/ai/run @cf/meta/llama-4-scout-17b-16e-instruct llama-4-scout-17b-16e-instruct is listed for chat workloads and supports a 10.0M context window.
Use it when Cloudflare Workers AI's free tier is enough for evaluation, demos, or light production traffic.
We only found this llama-4-scout-17b-16e-instruct listing on Cloudflare Workers AI in the current catalog. Use the related models section for nearby alternatives.
| Provider | Model listing | Access | Context | API | Limits |
|---|---|---|---|---|---|
| | @cf/meta/llama-4-scout-17b-16e-instruct | Free tier | 10.0M | Native | 10K neurons/day (shared) |
| Model | Provider | Context | Access |
|---|---|---|---|
| Mistral 7B | Cloudflare Workers AI | 33K | Free tier |
| Qwen 1.5 7B | Cloudflare Workers AI | 33K | Free tier |
| @cf/meta/llama-3.3-70b-instruct-fp8-fast | Cloudflare Workers AI | 131K | Free tier |
| @cf/openai/gpt-oss-120b | Cloudflare Workers AI | 128K | Free tier |
| @cf/moonshotai/kimi-k2.7-code | Cloudflare Workers AI | 262K | Free tier |
llama-4-scout-17b-16e-instruct is tagged for chat in this catalog and works with OpenAI-compatible client libraries.
llama-4-scout-17b-16e-instruct is listed with free API access on Cloudflare Workers AI, subject to the provider's quota and account policy.
The model ID shown in this catalog is @cf/meta/llama-4-scout-17b-16e-instruct.
The listed free tier limit is 10K neurons/day (shared). Limits can change per account tier, so confirm against the provider dashboard.
The listed context window is 10.0M tokens with up to 131K output tokens.
Llama 4 Scout 17B is Meta's latest-generation small-footprint model with an exceptionally large 10M-token context window — meaning you can ingest entire codebases, multi-hour transcripts, or thousand-page documents in a single request. Running on Cloudflare's global edge network, it combines the efficiency of a 17B-parameter model (with 16 active experts via MoE) with a context size that exceeds most flagship models. On the free tier it shares the 10,000 Neurons/day pool and uses Cloudflare's native API. For developers evaluating long-context architectures or building retrieval-free RAG alternatives, this is one of the few free options that can genuinely test 10M-token prompts.
For API keys, setup steps, and provider-level limits, see the Cloudflare Workers AI provider page.