Last refreshed 2026-07-09. Next refresh: weekly.
Why use Llama 4 Maverick 17B Instruct FP8 on DeepInfra?
DeepInfra offers Llama 4 Maverick 17B Instruct FP8 with pay-as-you-go pricing at $0.15/1M input tokens. DeepInfra is a cloud inference platform offering cost-effective access to open-source AI models.
Compare Llama 4 Maverick 17B Instruct FP8 across 11 providers to find the best fit for your use caseInput / 1M
$0.15
Output / 1M
$0.60
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install openaiAuth
export DEEPINFRA_API_KEY=...Call
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["DEEPINFRA_API_KEY"],Model ID
meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8Request example
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["DEEPINFRA_API_KEY"],
base_url="https://api.deepinfra.com/v1/openai"
)
response = client.chat.completions.create(
model="meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8", not the LLMReference slug "llama-4-maverick-17b-128e-instruct-fp8".
- DeepInfra uses "organization/model-name" format, e.g. "meta-llama/Meta-Llama-3-8B-Instruct" or "mistralai/Mistral-7B-Instruct-v0.3". See the DeepInfra model catalog for exact IDs.
- The examples expect DEEPINFRA_API_KEY; rename it only if your application config maps the new variable.
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 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.15 |
| Output tokens | $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.
Get Started
Model Specs
Released2025-04-05
Parameters400B (17B active)
Context1m
ArchitectureMixture of Experts
Knowledge cutoff2024-08