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
Supported Parameters
This model supports the following parameters:
Features
This model supports the following features:
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 |
|---|
Other Models by meta-llama
|
|
Released | Params | Context |
|
Speed | Ability | Cost |
|---|---|---|---|---|---|---|---|
| Meta: Llama Guard 4 12B | Apr 29, 2025 | 12B | 163K |
Text input
Image input
Text output
|
— | ★ | $$ |
| Meta: Llama 4 Scout | Apr 05, 2025 | 17B | 327K |
Text input
Image input
Text output
|
★★★★ | ★★ | $$ |
| Llama Guard 3 8B | Feb 12, 2025 | 8B | 131K |
Text input
Text output
|
★★ | ★ | $$ |
| Meta: Llama 3.3 70B Instruct | Dec 06, 2024 | 70B | 131K |
Text input
Text output
|
★★★★ | ★★★★ | $ |
| Meta: Llama 3.2 1B Instruct | Sep 24, 2024 | 1B | 131K |
Text input
Text output
|
★★ | ★ | $ |
| Meta: Llama 3.2 3B Instruct | Sep 24, 2024 | 3B | 131K |
Text input
Text output
|
★★★ | ★ | $ |
| Meta: Llama 3.2 11B Vision Instruct | Sep 24, 2024 | 11B | 128K |
Text input
Image input
Text output
|
★★★ | ★ | $$ |
| Meta: Llama 3.2 90B Vision Instruct Unavailable | Sep 24, 2024 | 90B | 131K |
Text input
Image input
Text output
|
★★★ | ★★ | $$$$ |
| Meta: Llama 3.1 405B (base) Unavailable | Aug 01, 2024 | 405B | 32K |
Text input
Text output
|
★ | ★ | $$$ |
| Meta: Llama 3.1 70B Instruct | Jul 22, 2024 | 70B | 131K |
Text input
Text output
|
★★★★ | ★★ | $$ |
| Meta: Llama 3.1 405B Instruct Unavailable | Jul 22, 2024 | 405B | 32K |
Text input
Text output
|
★★★★ | ★★ | $$$ |
| Meta: Llama 3.1 8B Instruct | Jul 22, 2024 | 8B | 131K |
Text input
Text output
|
★★★ | ★★ | $ |
| Meta: LlamaGuard 2 8B Unavailable | May 12, 2024 | 8B | 8K |
Text input
Text output
|
★★★★ | ★ | $$ |
| Meta: Llama 3 8B Instruct | Apr 17, 2024 | 8B | 8K |
Text input
Text output
|
★★★★ | ★★ | $ |
| Meta: Llama 3 70B Instruct | Apr 17, 2024 | 70B | 8K |
Text input
Text output
|
★★★★ | ★★ | $$ |
| Meta: Llama 2 70B Chat Unavailable | Jun 19, 2023 | 70B | 4K |
Text input
Text output
|
— | — | $$$$ |