Framework Desktop (128GB)
Frameworkon sale
On this page
What it can run
The agent count is a memory estimate for this model and context. The speed check below is a separate estimate, not a measured rate per agent.
How it is calculated
How many agents of each open model fit in its memory at once, each with room for about 32 thousand tokens of conversation — a typical coding agent. The agents share one copy of the model, so the first one needs the most memory and each next adds only its own conversation. Our estimate from memory size; open a row to try other settings.
- GPT-OSS-120B4-bit, as releasedFirst agent: 68.1 GBeach next +6.5 GBAgents at once: 5
Details
each next +6.5 GB
- GPT-OSS-20B4-bit, as releasedFirst agent: 16.6 GBeach next +3.8 GBAgents at once: 22
Details
each next +3.8 GB
- Qwen3-Coder-30B-A3B4-bit, smallerFirst agent: 22.3 GBeach next +3.9 GBAgents at once: 19
Details
each next +3.9 GB
- Qwen3-Coder-30B-A3B8-bit, closer to the originalFirst agent: 36.0 GBeach next +4.5 GBAgents at once: 14
Details
each next +4.5 GB
Available to models: 96 GB of 128 GB. The maker lets the graphics chip use this much.
Measured speed
Specification
- Memory
- Of it, for the graphics chip
- Memory speed
- measuredclaimed
- Power draw
- not in our data yet
- Combines with others
- no
- Price
How the fit score is made
Each part compares this computer with the five others on the page: 100 is the best of them, 0 the weakest. The weight says how much the part counts.
- Memory speedcounts 35%counts 35%0
- Memory sizecounts 20%counts 20%100
- Measured speedcounts 20%counts 20%no data — left out
- Speed per wattcounts 10%counts 10%no data — left out
- Price (cheaper is better)counts 10%counts 10%100
- Combines with otherscounts 5%counts 5%0
Part of the score has no data for this computer yet (the rows with a ring above), so treat it as a rough guide.