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Meta

Each lab on every axis: flagship price, disclosed revenue, demand share, open roles, incidents, and its newest alert
LabFlagship $/MtokSEC revenueDemandOpen rolesIncidents 30dNewest alert
Meta$4.00 in $20.00 out none filed 2.1%+0.5 pp no feed no feed none

Alerts

Alerts and ticker lines whose cited rows name Meta, newest first.

No alert cites this lab yet.

API prices

$ per million tokens: the like-for-like classes, then every SKU on the vendor’s page.

Like-for-like API pricing in dollars per million tokens, by provider and class
ProviderFlagshipthe vendor’s own “start here” model for hard workBalancedthe vendor’s stated intelligence-for-cost tradeoffEconomythe vendor’s model for cost-sensitive, high-volume work
Meta
muse-wonder-1.0
$4.00 in$20.00 out
dev.meta.ai
not mapped
muse-spark-1.3
$1.25 in$4.25 out
dev.meta.ai
ProviderModelTierContextIn $/MtokCached inOut $/MtokΔ vs previousHistoryWindowSource
metamuse-spark-1.1 also on meta-models-md——$1.25$0.15$4.25———dev.meta.ai
metamuse-spark-1.2 also on meta-models-md——$1.25$0.15$4.25———dev.meta.ai
metamuse-spark-1.2-contributor also on meta-models-md——$0.10$0.002$0.20———dev.meta.ai
metamuse-spark-1.3 also on meta-models-md——$1.25$0.15$4.25———dev.meta.ai
metamuse-spark-1.3-contributor also on meta-models-md——$0.10$0.002$0.20———dev.meta.ai
metamuse-wonder-1.0 also on meta-models-md——$4.00$0.20$20.00———dev.meta.ai
OpenRouter /api/v1/models: snapshotted, never shown as a price
Third-party restatement with no drift SLA and thin xAI coverage (6 vs 20+ SKUs) — cross-check, never source of record.openrouter.ai

Disclosed revenue

What the lab, or its public parent, has reported to the SEC.

Meta

no audited disclosure

No SEC filing carries this lab’s revenue.Press-reported run-rates are not shown.

Primary source only: audited SEC disclosures read from EDGAR’s XBRL company facts, each value linked to the filing that reported it. No audited disclosure on file means nothing is shown — press-reported run-rates are deliberately not shown.

Demand share

Share of OpenRouter tokens, newest 7 days. A proxy, not market share.

2.1%+0.5 pp vs prior 7 days

Meta

  1. meta/muse-spark-1.3-contributor-202609023.28T95.6%
  2. meta/muse-spark-1.3-2026090291.6B2.7%
  3. meta/muse-wonder-2026101260.2B1.8%
openrouter.ai

Every lab, and the 30-day series

Implied spend share

This lab’s OpenRouter tokens at its list prices, per model.

2026-10-12 → 2026-10-18 · at list price, implied not observed

Implied OpenRouter-channel spend per lab, as a range, beside token share and price coverage
LabSpend shareImplied $Token share Priced
Meta
0.4%–0.9%
$442K–$1.04M10.3% · 3.43T98.2%

131T of 164T tokens went to models outside the five labs and are not priced.

Implied OpenRouter-channel spend at list price — not revenue, not market shareCC BY 4.0

OpenRouter usage rankings (daily)OpenAI models.mdOpenAI pricing.mdAnthropic models overview.mdAnthropic pricing.mdxAI models.mdGoogle Gemini API pricingMeta models.mdMeta pricing and rate limits.md

Hiring

Open roles now, the change over the window, and the infrastructure cluster.

Open roles per lab, the change over the comparison window, the infrastructure cluster, and the department that moved most
LabOpen rolesΔ 30dInfrastructureΔMoved mostSource
Meta No public feed

Department mix, the buildout cluster and the daily series

Capacity strain

Status-page incidents, newest 30 days against the prior 30.

Meta

No public feed

Counted by the vendor’s posted start time, back from . Impact and status are each vendor’s own words, not normalized across vendors.