MiniMax’s Revenue Surges, but Profitability Remains Unproven
💡MiniMax’s B2B API growth is surging, but low margins reveal the real challenge of scaling AI inference.
⚡ 30-Second TL;DR
What Changed
Open platform and enterprise services revenue reached $73.929 million, growing 703.1% and accounting for 63.42% of total revenue.
Why It Matters
The shift toward enterprise APIs gives MiniMax a larger monetization opportunity, but inference costs rise alongside usage and can suppress margins. AI builders and buyers should evaluate not only model quality, but also pricing stability, unit inference costs, customer retention, and cash collection.
What To Do Next
Before adopting MiniMax APIs, run a one-week workload test measuring token cost, latency, output quality, and projected gross margin against your current model provider.
Key Points
- •Open platform and enterprise services revenue reached $73.929 million, growing 703.1% and accounting for 63.42% of total revenue.
- •AI-native product revenue grew 100.9% to $42.64 million, but its share of total revenue declined from 67.15% to 36.58%.
- •Gross margin was 17.9%, below 2025’s 25.4%, while adjusted net loss reached $293 million and R&D spending totaled $297 million.
- •Accounts receivable rose to $39 million, increasing by $28 million from year-end 2025 and raising questions about cash conversion.
- •M3 and H3 could improve future commercialization, but their ability to lift API margins and generate sustained profits remains unproven.
Weekly AI Recap
Read this week's curated digest of top AI events →
👉Related Updates
AI-curated news aggregator. All content rights belong to original publishers.
Original source: 虎嗅 ↗
This is a summary, not the original. Read the source, or get the weekly briefing.
Weekly AI briefing
One email a week. Unsubscribe anytime.