Llama 4 Maverick Instruct
meta-llama/llama-4-maverick-17b-128e-instruct-fp8
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward pass (400B total). It supports multilingual text and image input, and produces multilingual text and code output across 12 supported languages. Optimized for vision-language tasks, Maverick is instruction-tuned for assistant-like behavior, image reasoning, and general-purpose multimodal interaction. Maverick features early fusion for native multimodality and a 1 million token context window. It was trained on a curated mixture of public, licensed, and Meta-platform data, covering ~22 trillion tokens, with a knowledge cutoff in August 2024. Released on April 5, 2025 under the Llama 4 Community License, Maverick is suited for research and commercial applications requiring advanced multimodal understanding and high model throughput.
Price
| Input | $0.17/百万 tokens |
| Output | $0.85/百万 tokens |
Use the following code example to integrate our API:
1from openai import OpenAI
2
3client = OpenAI(
4 api_key="<Your API Key>",
5 base_url="https://api.highwayapi.ai/openai"
6)
7
8response = client.chat.completions.create(
9 model="meta-llama/llama-4-maverick-17b-128e-instruct-fp8",
10 messages=[
11 {"role": "system", "content": "You are a helpful assistant."},
12 {"role": "user", "content": "Hello, how are you?"}
13 ],
14 max_tokens=1048576,
15 temperature=0.7
16)
17
18print(response.choices[0].message.content)Information
Provider
Quantization
fp8
Supported Features
Context Length
1M
Maximum Output
1M
函数调用
Supported
serverless
Supported
Input Capabilities
text, image
Output Capabilities
text