Meta: Llama 4 Maverick

Text input Image input Text output
Author's Description

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...

Key Specifications
Cost
$$
Context
1M
Parameters
17B
Released
Apr 05, 2025
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Seed Structured Outputs Frequency Penalty Top P Min P Response Format Temperature Stop Presence Penalty Max Tokens
Features

This model supports the following features:

Structured Outputs Response Format
Performance Summary

Meta's Llama 4 Maverick 17B Instruct (128E) demonstrates a strong overall performance profile, particularly excelling in reliability and offering competitive pricing. The model consistently provides usable responses, achieving a perfect 100% success rate across all benchmarks, indicating exceptional technical stability. In terms of speed, Maverick performs among the fastest models, ranking in the 77th percentile. Its pricing is also competitive, generally falling within the 68th percentile for cost-effectiveness. Analyzing benchmark results, Maverick shows remarkable proficiency in Ethics and General Knowledge, achieving 100% and 99.3% accuracy respectively, with the Ethics benchmark noted for perfect accuracy and being the most accurate model at its price point and speed. It also performs very well in Mathematics (94.5% accuracy) and Reasoning (80.0% accuracy). Key strengths include its robust ethical reasoning, broad general knowledge, and mathematical problem-solving capabilities. However, the model exhibits notable weaknesses in Instruction Following, with a 30.3% accuracy, placing it in the lower quartile for this category. Its performance in Hallucinations (88.0% accuracy) and Coding (79.5% accuracy) also falls into the lower percentiles compared to other models. Despite these areas for improvement, Maverick's high reliability, competitive cost, and strong performance in critical areas like ethics and general knowledge make it a compelling option for multimodal applications.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.15
Completion $0.6

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
DeepInfra
DeepInfra | meta-llama/llama-4-maverick-17b-128e-instruct 1M $0.15 / 1M tokens $0.6 / 1M tokens
Parasail
Parasail | meta-llama/llama-4-maverick-17b-128e-instruct 524K $0.35 / 1M tokens $1 / 1M tokens
Kluster
Kluster | meta-llama/llama-4-maverick-17b-128e-instruct 1M $0.15 / 1M tokens $0.6 / 1M tokens
Novita
Novita | meta-llama/llama-4-maverick-17b-128e-instruct 1M $0.27 / 1M tokens $0.85 / 1M tokens
Lambda
Lambda | meta-llama/llama-4-maverick-17b-128e-instruct 1M $0.15 / 1M tokens $0.6 / 1M tokens
BaseTen
BaseTen | meta-llama/llama-4-maverick-17b-128e-instruct 1M $0.15 / 1M tokens $0.6 / 1M tokens
Cent-ML
Cent-ML | meta-llama/llama-4-maverick-17b-128e-instruct 1M $0.15 / 1M tokens $0.6 / 1M tokens
Groq
Groq | meta-llama/llama-4-maverick-17b-128e-instruct 131K $0.15 / 1M tokens $0.6 / 1M tokens
NCompass
NCompass | meta-llama/llama-4-maverick-17b-128e-instruct 400K $0.15 / 1M tokens $0.6 / 1M tokens
Fireworks
Fireworks | meta-llama/llama-4-maverick-17b-128e-instruct 1M $0.15 / 1M tokens $0.6 / 1M tokens
GMICloud
GMICloud | meta-llama/llama-4-maverick-17b-128e-instruct 1M $0.15 / 1M tokens $0.6 / 1M tokens
Together
Together | meta-llama/llama-4-maverick-17b-128e-instruct 1M $0.15 / 1M tokens $0.6 / 1M tokens
Google
Google | meta-llama/llama-4-maverick-17b-128e-instruct 524K $0.35 / 1M tokens $1.15 / 1M tokens
DeepInfra
DeepInfra | meta-llama/llama-4-maverick-17b-128e-instruct 8K $0.15 / 1M tokens $0.6 / 1M tokens
SambaNova
SambaNova | meta-llama/llama-4-maverick-17b-128e-instruct 131K $0.63 / 1M tokens $1.8 / 1M tokens
BaseTen
BaseTen | meta-llama/llama-4-maverick-17b-128e-instruct 1M $0.15 / 1M tokens $0.6 / 1M tokens
Friendli
Friendli | meta-llama/llama-4-maverick-17b-128e-instruct 378K $0.15 / 1M tokens $0.6 / 1M tokens
Cerebras
Cerebras | meta-llama/llama-4-maverick-17b-128e-instruct 32K $0.15 / 1M tokens $0.6 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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