9.3
Intelligence Index
Above 25% of 106 other free models
Me
Llama 4 Maverick 17B Instruct
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...
- Input
- text
- image
- Output
- text
- 1M context
Providers
Available through 1 free provider. Use the model ID and API settings below to connect.
Vercel AI Gateway
VAVercel AI Gateway
* The provider match may differ from this model. Check its docs for details.
Benchmarks
Compare scores and explore results by category.
16.3
Coding Index
Above 21% of 60 other free models
0.6
Agentic Index
Above 4% of 41 other free models
Bars show scores from other free models on this site. The marker shows this model’s score. Comparisons include only models with a score for that index.
Scores from Artificial AnalysisFrequently asked questions
Free access, setup, and what to expect.
Free API access for Llama 4 Maverick 17B Instruct is listed through Vercel AI Gateway, but a specific request or token allowance isn’t available in the listed data. Check the Llama 4 Maverick 17B Instruct provider pricing and rate limits for what’s included and any account requirements.
To use Llama 4 Maverick 17B Instruct, choose one of the listed Llama 4 Maverick 17B Instruct API providers and follow the provider’s account and API-key setup guide. Copy the Llama 4 Maverick 17B Instruct model ID and connection settings for your chosen provider into your app or API client. Model IDs can differ between providers. API requests go directly to the provider; Free Models is a comparison site.
Llama 4 Maverick 17B Instruct accepts text and image as listed input formats. Listed output formats include text. Image or audio input support does not imply image or audio generation. Check the chosen provider’s Llama 4 Maverick 17B Instruct documentation for supported file types and request formats.
Llama 4 Maverick 17B Instruct has a listed context window of 1M tokens. Tokens are small pieces of content rather than a word count. Instructions, conversation history, and other inputs use context space, and the response also needs room. The maximum output length for Llama 4 Maverick 17B Instruct may be smaller than the context window and can vary by provider.
Llama 4 Maverick 17B Instruct has tool calling support listed; reasoning support isn’t listed. Reasoning enables additional processing for complex problems. Tool calling allows a model to request functions that your app executes. Check the chosen provider’s documentation for capability availability and setup.
Review the listed Llama 4 Maverick 17B Instruct benchmark results to compare performance on measured tasks. Compare scores within the same benchmark: coding indexes, Elo ratings, and win rates measure different things. The index comparison charts include only scored free models listed on Free Models. Evaluate Llama 4 Maverick 17B Instruct on examples from your own task alongside context size and provider limits.