Meta narrows 2026 capex to $135–145bn
Meta raised the bottom of its 2026 capex range, including finance-lease principal, from $130bn to $135bn.
Source: Meta Platforms (SEC Form 8-K, exhibit 99.1) (opens in a new tab)
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Meta · Text model · GA
Meta: built for local and edge deployment models.dev (opens in a new tab)
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Figures checked 1 Nov 2026. A dash means not published on the sources we checked, so it stays blank rather than estimated. AA index and speed are from Artificial Analysis at the high setting.
| Lab | Meta |
|---|---|
| Type | Text |
| Status | GA dev.meta.ai (opens in a new tab) |
| Released | 10 Aug 2026 models.dev (opens in a new tab) |
| API access | Open weights only dev.meta.ai (opens in a new tab) |
| API model ID | – |
| API rate limits | – |
| Consumer app plans | – |
| Price at each level | – |
| Input per 1M tokens | – |
| Output per 1M tokens | – |
| Cached input | – |
| Batch in / out | – |
| Other pricing | Download and run locally. Not on Meta Model API |
| Context window | 131K tokens models.dev (opens in a new tab) |
| Max output | – |
| Input types | text, image models.dev (opens in a new tab) |
| Output types | text |
| Weights | Open dev.meta.ai (opens in a new tab)Apache 2.0 |
| Reasoning | Yes models.dev (opens in a new tab) |
| Tool use | Yes models.dev (opens in a new tab) |
| Artificial Analysis index | 6 (high) artificialanalysis.ai (opens in a new tab) |
| Output speed | 106 tokens/s artificialanalysis.ai (opens in a new tab) |
| Time to first token | 1.21 s artificialanalysis.ai (opens in a new tab) |
| Reasoning levels | – |
| Lab benchmark claims | – |
| Limitations | – |
Meta does not document calling MCP servers from its own API. You can still connect tools through an agent or framework. Browse AI tools
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Meta raised the bottom of its 2026 capex range, including finance-lease principal, from $130bn to $135bn.
Source: Meta Platforms (SEC Form 8-K, exhibit 99.1) (opens in a new tab)
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Muse Wonder and Muse Wonder Full are Meta's most capable models, built for agent work in law, finance and health, with Active Memory and Active Focus.
Source: Meta (opens in a new tab)