Approved models
18
Records published from this collection
Provider information
lab · United States
Review approach
Verify each model’s source, terms, capabilities, and current availability
Meta models in this directory cover any-to-any, text-to-text ai models. Start with the task you need to solve, then open a model profile to check its recorded inputs, outputs, licensing and deployment options.
Use inputs that resemble deployment traffic, including difficult and out-of-domain cases. Compare output correctness, the response format, latency and memory requirements with a simple baseline under the same conditions. Open-weight checkpoints need a runtime and enough memory for the exact format you select; a repository listing alone does not provide a hosted API. For hosted models, confirm the model ID, current API access, data controls and applicable pricing tier before routing production traffic.
Check whether two entries describe distinct models or different hosted routes for the same model. Keep the checkpoint, host, test settings and evaluation date together. Missing prices and limits mean the directory has no recorded figure, not that use is free or unlimited.
Browse the AI model directory or compare two models.
Review each record individually; collection membership does not imply a recommendation or guarantee of availability.
| Muse Spark 1.3 Meta | — | 1.05M | $1.25 | $4.25 | — |
| Llama 4 Maverick 17B Instruct Meta | 48.5 | 1M | $0.27 | $0.85 | — |
| Muse Wonder Meta | — | 1.05M | $4.00 | $20.00 | — |
| Muse Wonder Full Meta | — | 1.05M | — | — | — |
| Muse Glimmer 30B Meta | — | 131.07K | $0.30 | $1.20 | — |
| Muse Spark 1.2 Meta | — | 1.05M | $1.25 | $4.25 | — |
| Muse Spark 1.1 Meta | 82.0 | 1.05M | $1.25 | $4.25 | — |
| Muse Image 1.0 Meta | — | — | — | — | — |
| Muse Video Meta | — | — | — | — | — |
| Llama 4 Scout 17B Instruct Meta | 51.9 | 10M | $0.18 | $0.59 | — |
| Llama-3.3-70B-Instruct Meta | 30.0 | 128K | $1.254 | $1.254 | — |
| Llama-3.2-11B-Vision-Instruct Meta | — | 128K | — | — | — |
| Llama-3.2-1B Meta | — | 131.07K | — | — | — |
| Llama-3.2-3B Meta | — | 131.07K | — | — | — |
| Llama 3.1 405B Meta | 34.2 | 128K | $3.50 | $3.50 | 30 t/s |
| Llama-3.1-70B-Instruct Meta | — | 128K | — | — | — |
| Llama-Guard-3-8B Meta | — | 128K | — | — | — |
| Muse Voice Transcribe 1.0 Meta | — | — | — | — | — |
1–18 of 18 models · select a column to sort
About this order: Recommended shows our editorial shortlist first, followed by recent releases. The spec score is a 0–100 figure SyncDev calculates from each vendor's published specifications — context window, reasoning support, input modalities, tool calling, maximum output and how recently the model shipped. It measures breadth of capability, not benchmark performance, so a higher-scoring model is not automatically the better choice for your task.