Qwen3 30B-A3B Instruct 2507 vs Qwen3-Coder 30B-A3B

Qwen3 30B-A3B Instruct 2507 and Qwen3-Coder 30B-A3B both score 10 on the intelligence index. Both take the same machine to start: the cheapest here that runs either is the Framework Desktop, 32GB, at $1,269. On it, they run at much the same speed: 27 and 27 tok/s, both estimated from memory bandwidth. At 500k tokens a day the Framework Desktop, 32GB pays for itself in 78 years running Qwen3 30B-A3B Instruct 2507, against 101 years running Qwen3-Coder 30B-A3B.

Run Qwen3 30B-A3B Instruct 2507 on the Framework Desktop, 32GB · or Qwen3-Coder 30B-A3B

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

Jump to: What the newer model changes · Side by side on the Framework Desktop, 32GB · How much use it takes to pay for the machine · Memory is not what separates them · The assumptions behind both columns

What the newer model changes

Qwen3 30B-A3B Instruct 2507 is last generation. Qwen3-Coder 30B-A3B is the current Qwen mixture of experts of the same size, 30.5B. The intelligence index puts both at 10. Both ask the same of the machine: 22 GB at 32k of context, the same weights and the same key-value cache. The same 28 of the 37 machines priced here run both, from the Framework Desktop, 32GB at $1,269.

Side by side on the Framework Desktop, 32GB

The cheapest machine that runs either model is the same one, so this is the pair doing the same work on the same hardware: Strix Halo Framework Desktop, 32GB, at $1,269.

Run Qwen3 30B-A3B Instruct 2507 on the Framework Desktop, 32GB · or Qwen3-Coder 30B-A3B

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 30B-A3B Instruct 2507 pays for it sooner at every level of use, so which of them to run does not turn on how hard you work it.

Run Qwen3 30B-A3B Instruct 2507 at 20M tokens a day · or Qwen3-Coder 30B-A3B

Memory is not what separates them

Qwen3 30B-A3B Instruct 2507 needs 22 GB of memory at 32k of context and Qwen3-Coder 30B-A3B needs 22 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 30B-A3B Instruct 2507 is also head to head with Mistral Small 4 (119B-2603) above it on the leaderboard. One more model needs much the same memory: Nemotron 3.5 Bolt 74B-A9B. Qwen3-Coder 30B-A3B is also head to head with Qwen3-Coder Next below it on the leaderboard. One more model needs much the same memory: Nemotron 3.5 Bolt 74B-A9B.

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 30B-A3B Instruct 2507 · every machine that runs Qwen3-Coder 30B-A3B · every other match-up · both against the frontier · the quickest pay-back at each level of use