Mistral Small 3.2 24B Instruct vs Qwen3 14B

Mistral Small 3.2 24B Instruct scores higher on the intelligence index, 7 against 6. The cheapest machine here that runs Mistral Small 3.2 24B Instruct is the Framework Desktop, 32GB, at $1,269. Qwen3 14B runs on the Mac mini M6, 24GB at $1,099, $170 less. On the Framework Desktop, 32GB, the cheapest machine here that runs both, Qwen3 14B is about 1.3× quicker: 13 tok/s against 9.7, both estimated from memory bandwidth. At 500k tokens a day the Framework Desktop, 32GB pays for itself in 89 years running Qwen3 14B, against 163 years running Mistral Small 3.2 24B Instruct.

Run Mistral Small 3.2 24B Instruct on the Framework Desktop, 32GB · or Qwen3 14B on the Mac mini M6, 24GB

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

Jump to: Side by side on the Framework Desktop, 32GB · How much use it takes to pay for the machine · Machines that run one and not the other · The assumptions behind both columns

Side by side on the Framework Desktop, 32GB

The table above gives each model the cheapest machine that runs it, and those are two different machines, so nothing in it is a like-for-like race. The Strix Halo Framework Desktop, 32GB is the cheapest machine here that runs both, so this is the pair doing the same work on the same hardware.

Run Mistral Small 3.2 24B Instruct on the Framework Desktop, 32GB · or Qwen3 14B

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 Framework Desktop, 32GB. Qwen3 14B pays for it sooner at every level of use, so which of them to run does not turn on how hard you work it.

The Framework Desktop, 32GB cannot generate 20M tokens a day on either model: at most 13.5M on Mistral Small 3.2 24B Instruct and 18.5M on Qwen3 14B. Both figures on that row are for the most it can do.

Run Mistral Small 3.2 24B Instruct at 20M tokens a day · or Qwen3 14B

Machines that run one and not the other

Qwen3 14B needs 14 GB of memory at 32k of context and Mistral Small 3.2 24B Instruct needs 20 GB. That puts Qwen3 14B on 3 of the 37 machines priced here that Mistral Small 3.2 24B Instruct does not, starting at $1,099.

Mistral Small 3.2 24B Instruct is also head to head with Qwen3 32B above it on the leaderboard and Devstral Small 2 24B, the current Mistral nearest it in size. One more model needs much the same memory: Gemma 3 27B it. Qwen3 14B is also head to head with Llama 4 Scout 17B-16E below it on the leaderboard. One more model needs much the same memory: Ministral 3 14B.

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 Mistral Small 3.2 24B Instruct · every machine that runs Qwen3 14B · every other match-up · both against the frontier · the quickest pay-back at each level of use