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
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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 xhigh setting.
| Lab | Meta |
|---|---|
| Type | Text |
| Status | GA dev.meta.ai (opens in a new tab) |
| Released | 15 Oct 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 | Not on Meta Model API. Self-host or use a hosted provider |
| Context window | 1.05M tokens models.dev (opens in a new tab) |
| Max output | 131K tokens models.dev (opens in a new tab) |
| Input types | text, image, audio, video dev.meta.ai (opens in a new tab) |
| Output types | text |
| Weights | Open dev.meta.ai (opens in a new tab)816B MoE, 42B active |
| Reasoning | Yes models.dev (opens in a new tab) |
| Tool use | Yes models.dev (opens in a new tab) |
| Artificial Analysis index | 25 (xhigh) artificialanalysis.ai (opens in a new tab) |
| Output speed | 139 tokens/s artificialanalysis.ai (opens in a new tab) |
| Time to first token | 0.73 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)
Meta's next Vera Rubin racks run fully liquid-cooled at over 170 kW each. Starting or pausing a training job can swing tens of megawatts in seconds, so Meta uses batteries and power capping.
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)