Llama 4 Maverick 17B 128E Instruct FP8
Chat model by Meta.
Meta language model featuring a 128,000-token context window. Engineered for dialogue, instruction following, and versatile text generation.
Maker
Meta
Specifications
Context window, ranked against other chat models
Proportional scale: 0 to 1.05M tokens. Not ranked, no published context window: qwen-plus-2025-09-11, voxtral-small-24b-2507, qwen3.6-plus-2026-04-02.
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chat
Pricing
Rates are read live
Pricing for Llama-4-Maverick-17B-128E-Instruct-FP8 is fetched from the live catalogue on load, so it is never served from a cache that could outlive a repricing.
Availability
Not enough data yet
We have not collected enough health probes for this model to publish an uptime or latency figure. A percentage from a handful of samples is fabricated precision, so none is shown until the sample count supports one.
How Llama 4 Maverick 17B 128E Instruct FP8 is billed
Billed at the provider's list price, with no per-token markup.
- Exact list price
- Tokens settle at the published rate of the model that served your call.
- Cache discounts passed through
- Provider prompt-caching discounts reach your balance with no added fee.
- Cost on every response
- Each response carries the
x-nr-request-costheader, so you can reconcile spend per request.
More from Meta
Start building with Llama-4-Maverick-17B-128E-Instruct-FP8
One API key, three steps. Choose your tool to begin.
Get a key
Create API keySet your API key
export NROUTER_API_KEY="<YOUR_API_KEY>"Configure Claude Code
Choose a tool, then copy its setup from the panel.
FAQs
What is Llama 4 Maverick 17B 128E Instruct FP8?
Meta language model featuring a 128,000-token context window. Engineered for dialogue, instruction following, and versatile text generation.
How much does Llama 4 Maverick 17B 128E Instruct FP8 cost?
Llama 4 Maverick 17B 128E Instruct FP8 is billed at the provider's list price on nRouter with no per-token markup — tokens settle at the exact upstream rate. Input and output rates are read live, so see the pricing section above for the current figures.
Does Llama 4 Maverick 17B 128E Instruct FP8 support tool calling and structured outputs?
Yes. Llama 4 Maverick 17B 128E Instruct FP8 supports tool calling (function calling), so it can invoke external tools and APIs during a conversation.
What inputs and outputs does Llama 4 Maverick 17B 128E Instruct FP8 support?
Llama 4 Maverick 17B 128E Instruct FP8 takes text as input and returns text as output.
How do I use Llama 4 Maverick 17B 128E Instruct FP8 via nRouter?
Use any OpenAI-compatible client: point it at https://api.nrouter.ai/v1 with your nRouter API key and set the model to "azure_ai/Llama-4-Maverick-17B-128E-Instruct-FP8". The quick-start panel above has a copy-paste curl command for this model.
When was Llama 4 Maverick 17B 128E Instruct FP8 released?
Llama 4 Maverick 17B 128E Instruct FP8 was released on August 30, 2026.
Where is the Llama 4 Maverick 17B 128E Instruct FP8 documentation?
Start at nrouter.ai/docs. The quick-start guide (nrouter.ai/docs/getting-started/quick-start) covers API keys and your first request, and the API reference (nrouter.ai/docs/api-reference) lists every parameter.
What other text models does Meta have?
Other Meta text models on nRouter include Muse Spark 1.1 (nrouter.ai/models/muse-spark-1.1), Muse Spark 1.3 Contributor (nrouter.ai/models/muse-spark-1.3-contributor), Hermes 3 Llama 3.1 70B (nrouter.ai/models/nousresearch-hermes-3-llama-3.1-70b), Muse Glimmer 30B (nrouter.ai/models/meta-models-muse-glimmer-30b).