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

What hardware do you need to run Qwen3 235B-A22B Instruct 2507?

Qwen3 235B-A22B Instruct 2507 at Q4_K_M is 142 GB of weights, with a context ceiling of 256k tokens. The closest thing to a frontier model that fits in 256 GB. Needs an Ultra-class Mac. On the cheapest machine that runs it, a Mac Studio M5 Ultra, 256GB, it generates 18 tok/s at 32k of context, worked out from memory bandwidth.

Cheapest machine that runs itMac Studio M5 Ultra, 256GB at $10,799
Honest answer on costPays back in 977 years at 500k tokens a day.

How good is Qwen3 235B-A22B Instruct 2507, really?

On the Artificial Analysis Intelligence Index v4.3 it scores 13 (reasoning mode; 12 without), which puts it in the Below every hosted tier band. Fine for simple, well-specified tasks. Noticeably less capable than anything the big labs sell today. See the whole table.

Head to head with its neighbours on the leaderboard: vs Nemotron 3.5 Lightning 30B-A3B above it, vs MiniCPM5 2B below. Also head to head: vs Qwen3.8 Flash Next, the current Qwen nearest it in size. One more model needs much the same memory at 32k of context: vs MiniMax M2.7.

Is Qwen3 235B-A22B Instruct 2507 still worth running?

Not on the two figures this site can compare. The intelligence index puts 15 of the current models here above Qwen3 235B-A22B Instruct 2507, and not one of them asks more of a machine: at 32k of context it needs 148.5 GB and scores 13 (reasoning mode; 12 without), where the strongest of the 15, Qwen3.8 Flash Next, needs 120.5 GB and scores 40.

The cheapest machine still sold that holds Qwen3 235B-A22B Instruct 2507 at 32k is the Mac Studio M5 Ultra, 256GB at $10,799, which holds Qwen3.8 Flash Next as well. This site quotes Qwen3.8 Flash Next at 74 tok/s estimated there and Qwen3 235B-A22B Instruct 2507 at 18 tok/s estimated.

What Qwen3 235B-A22B Instruct 2507 costs either way

Renting the same model costs $0.0875 per million input tokens and $0.35 per million output (OpenRouter, cheapest active endpoint, checked 2026-10-29). Buying a machine only beats that if you use it hard enough, for long enough, that the hardware price divides down below the rental bill. What a million tokens costs each way puts the two prices side by side.

Machines that run Qwen3 235B-A22B Instruct 2507

The Mac Studio M5 Ultra, 256GB holds it to 128k, and it is the machine's memory that stops it there, not the model's 256k limit.

MachinePriceSpeed at 32kLongest contextPay-back
Mac Studio M5 Ultra, 256GB $10,799 18 tok/s estimated 128k Pays back in 977 years Run the numbers

The table is the cheapest machine in each family, not the only one that runs it: 5 of the 56 machines on this site hold it at 32k. Within a family only memory decides, so that is every Strix Halo box with 192GB or more and every Mac Studio with 256GB or more. One table sets every machine against the others: price, the memory its GPU can use, what it holds and how long it takes to pay for itself.

One machine per family, cheapest first. Speeds are measured where a public benchmark exists and estimated from memory bandwidth otherwise; the calculator says which for any configuration. The longest context is the longest setting the calculator offers that the machine still holds this model at, cache included, and no machine is shown taking it past its own 256k limit. Each one opens the calculator on that machine at that length.

For scale, the calculator starts from 80 tok/s for a hosted API and times a local machine against it. The one above does not reach it, at 18 tok/s.

The cheapest machine that runs it is sold with 256 GB. There is a page on what 256 GB runs, machine by machine: it names the 2 machines here sold at that size, and the 44 current models the roomiest of them holds at 32k.

It fits in less memory than that: the smallest size here that runs it at 32k is 192 GB, on the Framework Desktop, 192GB, which hands a model 160 GB.

Run Qwen3 235B-A22B Instruct 2507 at 128k on the Mac Studio M5 Ultra, 256GB

How much memory does Qwen3 235B-A22B Instruct 2507 need at 256k?

Every figure above is priced at 32k of context. At 256k, which is this model's own ceiling and the longest the calculator offers, Qwen3 235B-A22B Instruct 2507 needs 192.6 GB rather than 148.5 GB. The weights are the same either way; the key-value cache goes from 6.3 GB to 50.5 GB.

No machine here that is still sold at a published price holds Qwen3 235B-A22B Instruct 2507 at 256k. One of the 37 machines here still sold at a published price holds it at 32k, and it is the Mac Studio M5 Ultra, 256GB at $10,799. Two machines here do hold it there: the Mac Studio M5 Ultra, 512GB, on sale with no published price; the Mac Studio M3 Ultra, 512GB, no longer sold, at the $9,499 it launched at.

What has been measured running Qwen3 235B-A22B Instruct 2507

Every speed in the table above is worked out from memory bandwidth, and that is not because nobody has run Qwen3 235B-A22B Instruct 2507. Two machines here have a published speed for it, and the table above has none of them: every one is no longer sold. They are below, as published and again at 32k of context, which is what every other speed on this page is taken at.

MachinePriceAt 32kAs published
Mac Studio M3 Ultra, 256GBdiscontinued $7,099 11 tok/s measured 16 tok/smeasured at an empty window
Mac Studio M3 Ultra, 512GBdiscontinued $9,499 11 tok/s measured 16 tok/smeasured at an empty window

A published figure is what its source reports, at the window the model was run at. The 32k figure is that measurement read at 32k of context: every token generated reads the weights and the whole key-value cache, so the longer the window the slower it runs. A discontinued machine's price is the one it launched at. Where two memory tiers of one machine carry the same figure, the speed is set by the bandwidth of the chip they share rather than by the amount of memory. Each published figure links the source that took it.

The machines that miss Qwen3 235B-A22B Instruct 2507, and what they run

Of the machines here with a published price that are still sold, every one but the Mac Studio M5 Ultra, 256GB misses Qwen3 235B-A22B Instruct 2507, and none of them misses by a window: its 142 GB of weights are larger than the usable memory in every one of them, before a single token of key-value cache. The DGX Spark GB10 Grace Blackwell, 128GB comes nearest, 23.4 GB short at 4k, the shortest window on the list. Qwen3.8 27B is the strongest model seven of the eight hold, and it scores 34 on the intelligence index against this model's 13. So every machine that cannot hold Qwen3 235B-A22B Instruct 2507 runs one that scores higher than it.

Four machines here do hold Qwen3 235B-A22B Instruct 2507 at 32k, and none of them is an answer to what to buy, which is the question the rest of this page asks: the Mac Studio M3 Ultra, 256GB and the Mac Studio M3 Ultra, 512GB, no longer sold, at the $7,099 and $9,499 they launched at, and the Strix Halo Framework Desktop, 192GB and the Mac Studio M5 Ultra, 512GB, on sale with no published price. They are sold with 192 GB, 256 GB and 512 GB of memory and hand a model 160 GB to 384 GB of it, against the 148 GB Qwen3 235B-A22B Instruct 2507 needs at 32k.

MachinePriceUsable memoryShort byStrongest model it holds
DGX Spark GB10 Grace Blackwell, 128GB $4,699 119.5 GB 23.4 GB Qwen3.8 27B
Strix Halo Framework Desktop, 128GB $3,449 96 GB 46.9 GB Qwen3.8 27B
Mac Studio M5 Max, 128GB $5,099 96 GB 46.9 GB Qwen3.8 27B
MacBook Pro M5 Max (16-inch), 128GB $6,999 96 GB 46.9 GB Qwen3.8 27B
NVIDIA RTX PRO 6000 Blackwell, 96GB $18,000card only 95 GB 47.9 GB Qwen3.8 27B
Mac mini M5 Pro, 64GB $2,699 48 GB 94.9 GB Qwen3.8 27B
AMD Radeon AI PRO R9700, 32GB $1,299card only 31 GB 111.9 GB Qwen3.8 27B
MacBook Air M5 (13-inch), 16GB $1,299 10.5 GB 132.4 GB Gemma 4 12B

One machine per family, the largest configuration in each that still misses, nearest first. Short by is the weights plus the key-value cache at 4k measured against the memory that machine's GPU can address, which that machine's own page gives. The last column is the highest-scoring current model the machine holds at 32k.

Price the DGX Spark GB10 Grace Blackwell, 128GB on Qwen3.8 27B instead

The specifics

Parameters
235.1B, of which 22B are active per token
Quantisation
Q4_K_M
Weights on disk
142 GB
KV cache
6.3 GB at 32k context. How weights and cache add up.
Maximum context
256k tokens
Licence
Apache 2.0
Sources
unsloth/Qwen3-235B-A22B-Instruct-2507-GGUF, Qwen/Qwen3-235B-A22B-Instruct-2507