Sunk Cost sunkcost.ai Data checked 2026-09-03

Qwen3 8B vs Gemma 3 12B it

Qwen3 8B scores higher on the intelligence index, 5 against 4. Both take the same machine to start: the cheapest here that runs either is the Mac mini M6, 16GB, at $899. On it, they run at much the same speed: 12 and 12 tok/s, both estimated from memory bandwidth. At 500k tokens a day the Mac mini M6, 16GB pays for itself in 40 years running Qwen3 8B, against 123 years running Gemma 3 12B it.

Qwen3 8BGemma 3 12B it
Intelligence index54
ClassBelow every hosted tierBelow every hosted tier
Weights5.0 GB7.3 GB
Needs at 32k9.9 GB9.8 GB
QuantisationQ4_K_MQ4_K_M
Parameters8.2B12.2B
Max context40k128k
API price per 1M$0.117 in / $0.455 out$0.05 in / $0.15 out
LicenceApache 2.0Gemma Terms of Use
Machines here that run it37 of 3737 of 37
Cheapest machine that runs itMac mini M6, 16GB $899Mac mini M6, 16GB $899
Summarising good good
Translation usable good
Everyday coding usable usable
Reasoning & maths don’t don’t
Agentic work don’t don’t

Run Qwen3 8B on the Mac mini M6, 16GB · or Gemma 3 12B it

Ratings are coarse on purpose: they say what a model is usable for, not where it places to the decimal.

Side by side on the Mac mini M6, 16GB

The cheapest machine that runs either model is the same one, so this is the pair doing the same work on the same hardware: Mac mini M6, 16GB, at $899.

Qwen3 8BGemma 3 12B it
Speed at 32k12 tok/s estimated12 tok/s estimated
Pay-back on this machinePays back in 40 yearsPays back in 123 years
API cost per month$2.10$0.86

Run Qwen3 8B on the Mac mini M6, 16GB · or Gemma 3 12B it

How much use it takes to pay for the machine

Everything above is at 500k tokens a day. Pay-back moves with how much you actually run, so here are both models at the five levels of use the calculator names, on the Mac mini M6, 16GB. Qwen3 8B pays for it sooner at every level of use, so which of them to run does not turn on how hard you work it.

A day's useQwen3 8BGemma 3 12B it
50ka few chats a day405 years1,234 years
200klight assistant use101 years308 years
1Ma moderate coding-assistant day20 years62 years
4Mheavy coding with an agent5.1 years15 years
20Magents running most of the day15 monthsits ceiling3.8 yearsits ceiling

The Mac mini M6, 16GB cannot generate 20M tokens a day on either model: at most 16.1M on Qwen3 8B and 16.2M on Gemma 3 12B it. Both figures on that row are for the most it can do.

Run Qwen3 8B at 20M tokens a day · or Gemma 3 12B it

Memory is not what separates them

Qwen3 8B needs 9.9 GB of memory at 32k of context and Gemma 3 12B it needs 9.8 GB. Every machine priced here that runs one runs the other, at 32k of context. So the choice between them is what each is good at, how fast it runs and what the same work costs on an API, not what you have to buy to hold it.

Qwen3 8B is also head to head with Ministral 3 14B above it on the leaderboard, Gemma 3 27B it below it and Qwen3.5 9B, the current Qwen nearest it in size. One more model needs much the same memory: Granite 4.2 8B. Gemma 3 12B it is also head to head with Ministral 3 8B above it on the leaderboard and Gemma 4 12B, the current Gemma nearest it in size.

The assumptions behind both columns

Both columns use the same usage: 500k tokens a day at 15:1 input to output, 32k of context, $0.17 per kWh, and today's API prices held flat. Speeds marked estimated are worked out from memory bandwidth rather than measured, and pay-back scales with them. Where nobody rents an open model by the token, its API prices are the nearest hosted model's, named beside them. Machines are the 37 here with a published price that are still sold. Change any of it in the calculator.

More head to head: every machine that runs Qwen3 8B · every machine that runs Gemma 3 12B it · every other match-up · both against the frontier · the quickest pay-back at each level of use