Qwen3 32B vs Nanbeige4.3 33B
Qwen3 32B scores 7 on the intelligence index, and Nanbeige4.3 33B has not been placed on it. Both take the same machine to start: the cheapest here that runs either is the Radeon AI PRO R9700, 32GB, at $1,299. The Radeon AI PRO R9700, 32GB is priced as the card alone, without the PC around it. On it, they run at much the same speed: 20 and 20 tok/s, Qwen3 32B's measured and the other estimated from memory bandwidth. At 500k tokens a day the Radeon AI PRO R9700, 32GB pays for itself in 100 years running Nanbeige4.3 33B, against 150 years running Qwen3 32B.
| Qwen3 32B | Nanbeige4.3 33B | |
|---|---|---|
| Intelligence index | 7 | not placed |
| Class | Below every hosted tier | not yet placed |
| Weights | 20 GB | 21 GB |
| Needs at 32k | 28 GB | 28 GB |
| Quantisation | Q4_K_M | Q4_K_M |
| Parameters | 32.8B | 33.1B |
| Max context | 40k | 512k |
| API price per 1M | $0.08 in / $0.28 out | $0.1 in / $0.34 outpriced as Gemma 4 31B it |
| Licence | Apache 2.0 | Apache 2.0 |
| Machines here that run it | 26 of 37 | 26 of 37 |
| Cheapest machine that runs it | AMD Radeon AI PRO R9700, 32GB $1,299card only | AMD Radeon AI PRO R9700, 32GB $1,299card only |
Run Qwen3 32B on the Radeon AI PRO R9700, 32GB · or Nanbeige4.3 33B
Jump to: Side by side on the Radeon AI PRO R9700, 32GB · How much use it takes to pay for the machine · Memory is not what separates them · The assumptions behind both columns
Side by side on the Radeon AI PRO R9700, 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: AMD Radeon AI PRO R9700, 32GB, at $1,299card only.
| Qwen3 32B | Nanbeige4.3 33B | |
|---|---|---|
| Speed at 32k | 20 tok/s measured | 20 tok/s estimated |
| Pay-back on this machine | Pays back in 150 years | Pays back in 100 years |
| API cost per month | $1.41 | $1.75priced as Gemma 4 31B it |
Run Qwen3 32B on the Radeon AI PRO R9700, 32GB · or Nanbeige4.3 33B
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 Radeon AI PRO R9700, 32GB. Nanbeige4.3 33B 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 use | Qwen3 32B | Nanbeige4.3 33B |
|---|---|---|
| 50ka few chats a day | 1,499 years | 1,004 years |
| 200klight assistant use | 375 years | 251 years |
| 1Ma moderate coding-assistant day | 75 years | 50 years |
| 4Mheavy coding with an agent | 19 years | 13 years |
| 20Magents running most of the day | 3.7 years | 2.5 years |
Run Qwen3 32B at 20M tokens a day · or Nanbeige4.3 33B
Memory is not what separates them
Qwen3 32B needs 28 GB of memory at 32k of context and Nanbeige4.3 33B needs 28 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 32B is also head to head with Llama 3.1 8B Instruct above it on the leaderboard, Mistral Small 3.2 24B Instruct below it and Qwen3.8 27B, the current Qwen nearest it in size. One more model needs much the same memory: DeepSeek-R1-Distill-Qwen-32B.
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 32B · every machine that runs Nanbeige4.3 33B · every other match-up · both against the frontier · the quickest pay-back at each level of use