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Artificial Intelligence

Zhipu and MiniMax: Similar Losses, a Fourfold Valuation Gap

Sir Robot12 September 2026 · 3 min read
Zhipu and MiniMax: Similar Losses, a Fourfold Valuation Gap

Two Chinese model labs reported first-half 2026 results. Zhipu posted RMB 954 million in revenue and an adjusted net loss of RMB 1.964 billion. MiniMax posted $117 million in revenue and a $293 million loss.

How much more the market values Zhipu than MiniMax, despite a comparable scale of lossesTMTPost, as of 4 September 2026

Key takeaways

  • Market cap on 4 September: Zhipu around HKD 500 billion, MiniMax around HKD 126 billion
  • Zhipu: platform and API account for RMB 825 million, or 86.5% of revenue
  • MiniMax: open-platform revenue grew 703.1% year on year, to $73.93 million
  • Token consumption: over 40x since the start of the year at Zhipu, 20x from January to July at MiniMax
  • Gross margin fell at both: Zhipu to 26.4% from 50%, MiniMax to 17.9% from 25.4%

Two labs side by side

MetricZhipuMiniMax
H1 2026 revenueRMB 954M$117M
Adjusted net lossRMB 1.964B$293M
Market cap (4 September)approx. HKD 500Bapprox. HKD 126B
Platform and API share of revenue86.5%63.4%
Gross margin (year earlier)26.4% (50%)17.9% (25.4%)
Token consumption growthover 40x since year start20x from January to July

The two companies report in different currencies, so proportions and momentum are comparable while absolute values are not. Both market caps are given in Hong Kong dollars as of 4 September 2026.

Zhipu: the value has moved entirely into the API

The revenue mix at Z.ai inverted within a year. On-premise deployments now bring in only RMB 129 million, or 13.5% of the total. The remaining RMB 825 million comes from the open platform and API. Call volume for tokens grew more than 40-fold since the start of the year, and Coding Plan calls alone rose more than 23-fold.

Notably, the average API price went up by roughly 101%, so the growth is not coming from discounts. Even so, Gross margin: The share of revenue left after direct costs of delivering the service. For AI models the largest line item is inference — the compute spent on every single request. fell from 50% to 26.4%.

MiniMax: faster growth, from a lower base

MiniMax grew revenue 283.1% year on year, and its open-platform segment 703.1%, to $73.93 million. The B2B share of ARR: Annual Recurring Revenue — the value of active subscriptions and contracts projected across a full year, usually extrapolated from the current month. jumped from around 30% to roughly 80% in a year.

The company runs two tracks at once, though. Its public model repository makes that visible.

ModelModalityParameters
MiniMax-M3image + text → text427B
MiniMax-M3-MXFP8image + text → text440B
MiniMax-M2.7text generation229B
MiniMax-H3image + text → video33B
MiniMax-Music3text → audio2B

The video and audio line builds reach — H3 is close to 5 million downloads — but there is no sign it builds revenue.

Token sales move to the retail shelf

Zhipu listed subscriptions on Tmall, from RMB 118 to RMB 1,078 a month. Technical parameters were repackaged as ready-made bundles that a customer compares like any other product on a shelf.

This is the point at which model capability gets a common price tag. The most telling signal of the half-year is therefore not in the accounts but in the sales channel.

Why it matters

A fourfold valuation gap on similar losses says more about narrative than about the income statement. The market rewards a company with one legible axis — chat, coding, agent — and discounts the one pulling text and video in parallel.

The gross-margin decline at both, meanwhile, shows that sheer token volume does not improve profitability. Inference cost grows alongside demand.

What's next

  • Zhipu's gross margin fell to 26.4% despite a 101% API price increase — the next half-year will show whether the increase is enough to reverse the trend
  • MiniMax has to settle whether the open H3 video model stays a marketing instrument or gets a revenue model of its own
  • Listing on Tmall creates directly comparable pricing across vendors, which at 40x volume growth could trigger a price war

Sources

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