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

Qwen3.6 35B-A3B vs Muse Glimmer 30B

Qwen3.6 35B-A3B scores higher on the intelligence index, 19 against 18. Both take the same machine to start: the cheapest here that runs either is the Framework Desktop, 32GB, at $1,269. On it, Qwen3.6 35B-A3B is about 5.1× quicker: 56 tok/s against 11, both estimated from memory bandwidth. At 500k tokens a day the Framework Desktop, 32GB pays for itself in 22 years running Muse Glimmer 30B, against 83 years running Qwen3.6 35B-A3B.

Qwen3.6 35B-A3BMuse Glimmer 30B
Intelligence index1918
ClassHaiku-classHaiku-class
Weights22 GB17 GB
Needs at 32k23 GB18 GB
QuantisationQ4_K_MQ4_K_M
Parameters36B (3B active)29.8B
Max context256k128k
API price per 1M$0.05 in / $0.7 out$0.3 in / $1.2 out
LicenceApache 2.0Apache 2.0
Machines here that run it28 of 3730 of 37
Cheapest machine that runs itStrix Halo Framework Desktop, 32GB $1,269Strix Halo Framework Desktop, 32GB $1,269

Run Qwen3.6 35B-A3B on the Framework Desktop, 32GB · or Muse Glimmer 30B

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 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.

Qwen3.6 35B-A3BMuse Glimmer 30B
Speed at 32k56 tok/s estimated11 tok/s estimated
Pay-back on this machinePays back in 83 yearsPays back in 22 years
API cost per month$1.38$5.42

Run Qwen3.6 35B-A3B on the Framework Desktop, 32GB · or Muse Glimmer 30B

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. Muse Glimmer 30B 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 useQwen3.6 35B-A3BMuse Glimmer 30B
50ka few chats a day831 years217 years
200klight assistant use208 years54 years
1Ma moderate coding-assistant day42 years11 years
4Mheavy coding with an agent10 years2.7 years
20Magents running most of the day2.1 years8.8 monthsits ceiling

The Framework Desktop, 32GB generates at most 14.9M tokens a day on Muse Glimmer 30B, so that column's figure at 20M tokens a day is for the most it can do, not for the whole of what was asked.

Run Qwen3.6 35B-A3B at 20M tokens a day · or Muse Glimmer 30B

Machines that run one and not the other

Muse Glimmer 30B needs 18 GB of memory at 32k of context and Qwen3.6 35B-A3B needs 23 GB. That puts Muse Glimmer 30B on 2 of the 37 machines priced here that Qwen3.6 35B-A3B does not, starting at $1,299.

MachinePriceMemorySpeed on Muse Glimmer 30BPay-back
Mac mini M6, 32GB$1,29932 GB7.2 tok/s estimatedPays back in 22 years
MacBook Pro M5 (14-inch), 32GB$2,39932 GB6.4 tok/s estimatedPays back in 40 years

Qwen3.6 35B-A3B is also head to head with Nemotron 3.5 Bolt 74B-A9B above it on the leaderboard. One more model needs much the same memory: Gemma 4 31B it. Muse Glimmer 30B is also head to head with Gemma 4 26B-A4B below it on the leaderboard. One more model needs much the same memory: Qwen3.8 27B.

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 Qwen3.6 35B-A3B · every machine that runs Muse Glimmer 30B · every other match-up · both against the frontier · the quickest pay-back at each level of use