Last refreshed 2026-07-09. Next refresh: weekly.
Why use Llama 4 Maverick 17B Instruct FP8 on NVIDIA NIM?
NVIDIA NIM offers Llama 4 Maverick 17B Instruct FP8 with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.
Compare Llama 4 Maverick 17B Instruct FP8 across 11 providers to find the best fit for your use caseInput / 1M
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Output / 1M
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Cache
Not sourced
Batch
Not sourced
Setup recipe
Docs fallbackInstall
Use the provider REST API or SDKAuth
Create a provider API keyCall
model: meta/llama-4-maverick-17b-128e-instructModel ID
meta/llama-4-maverick-17b-128e-instructRequest example
Curated snippets for this provider are not sourced yet. Use NVIDIA NIM documentation with model ID
meta/llama-4-maverick-17b-128e-instruct.Gotchas
- Use provider model ID "meta/llama-4-maverick-17b-128e-instruct", not the LLMReference slug "llama-4-maverick-17b-128e-instruct-fp8".
Compare Llama 4 Maverick 17B Instruct FP8 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Microsoft Foundry | $0.35 | $1.41 |
| Together AI | $0.27 | $0.85 |
| OpenRouter | $0.15 | $0.60 |
| Fireworks AI | — | — |
| DeepInfra | $0.15 | $0.60 |
Capabilities
VisionMultimodalStructured Outputs
About Llama 4 Maverick 17B Instruct FP8
Meta's Llama 4 Maverick 17B with 128 experts, FP8-optimized for cost-efficient inference. Supports native Model Router integration on Microsoft Foundry.
Model Specs
Released2025-04-05
Parameters400B (17B active)
Context1m
ArchitectureMixture of Experts
Knowledge cutoff2024-08