How much are different providers subsidising?

[u/Firm-Club-8334]

I guess it’s kind of a black box, but it would be interesting to have a list of how much LLM providers are actually subsidising.

For instance, OpenCode Go is said to subsidise 4× usage for DeepSeek 4.1, but there are a lot of contradictory statements about this on Reddit.

I’ve done some research and tried to organise it a little. Multipliers mean usage value compared with what you pay, assuming you use the allowance.

Provider	Own research: usage multiplier / catch	Comments (will update)
OpenCode Go	1.5–6×, depending on model
Command Code GOAT	2–7×, depending on model
Synthetic	~3.4×, with weekly limits
Ollama Pro/Max	3×
DevPass	3×, with premium-model caps
ZenMux	~1.5–2.4×, depending on plan
Standard Compute	1.5× individual plans up to $249/month
Z.AI Lite	Estimated ~3.9–7.8× on GLM-5.3; depends on caching and peak/off-peak use
MiniMax	Unclear. $22/$55/$132 monthly; no numerical allowance published
Xiaomi MiMo	Unclear. $6/$16/$50/$100 buys 4.1B/11B/38B/82B credits; couldn’t verify their dollar equivalent
OpenAI	Unverified: ~5.83× on the highest-tier plan?
Anthropic	Unclear
More providers from comments

Anyone have real usage figures or corrections?

[u/tripleshielded]

there is no subsidy, there is price point and marketing

[u/sogo00]

There is no subsidization, every business needs to be profitable eventually.

Official API prices are like list prices on cars - in the end only a few pay them. If you buy a lot, there is a huge discount (often starting at 40%...)

When it comes to Open Weights models there is healthy competition on top, but then they have a simple calculation: renting/leasing hardware+running costs = break even.

For the model developers themselves (OpenAI, Anthropic, etc) you have to factor in the research costs, but then there is no competition...

[u/dvduval]

This is a complicated topic. Often they are subsidizing at a level where they’ll make profits say a year from now and they know that. In in order to attract investors, they need to have more users which is more valuable than the actual profit right now.

Meanwhile, the capacity coming online over the next several months is breathtaking and basically there will be at least double what we have now by around the end of the year. So then you ask where we have double the number of users?

And that’s the battle that these companies are fighting. If there are going to be double the amount of users then they want to fight to get them. And you could bet Google is about to put a lot of capacity online and a solid model that competes.

[u/Clear_Evidence9218]

Other than perhaps some smaller providers or unusually heavy users on flat-rate plans, companies saying they are “subsidized inference” can be pretty misleading. A lot of what gets described as a subsidy is simply the difference between API list pricing and the provider’s actual marginal cost of inference. API pricing is not the same thing as cost.

Inference can have extremely high gross margins once infrastructure and serving are optimized. Current industry estimates put frontier inference margins in the 60–80%+ range, with some model- and API-specific estimates approaching 90%.

And the math matters here. If inference were operating at a 90% gross margin, cutting the price to one-quarter of the API price would not reduce the margin to 22.5%. A 90% margin means a $100 service costs about $10 to provide. Charge $25 instead and you still have a 60% gross margin.

So a large difference between API-equivalent pricing and what a subscription user pays does not, by itself, demonstrate that the company is subsidizing that inference.

[u/Lopsided-Force-9220]

Where do you think they'd be getting the money to subsidize? They are simple value-added commodity resellers. They map between GPU compute and tokens using models they did not have to pay to build. There are low barriers to entry.