Framework Desktop (Ryzen AI Max+ 395, 128 GB) vs Framework Desktop (Ryzen AI Max+ 395, 64 GB)
Framework Desktop 128 GB has 128 GB memory, 256 GB/s bandwidth, 140 W nominal power; Framework Desktop 64 GB has 64 GB memory, 256 GB/s bandwidth, 120 W nominal power. Compare model compatibility, like-for-like tokens/sec and ownership cost below.
Framework Desktop (Ryzen AI Max+ 395, 128 GB) · Framework Desktop (Ryzen AI Max+ 395, 64 GB)
Verdict
- throughputNo valid like-for-like performance comparison is available. The practical configurations below differ in quantization, runtime, context, settings, or evidence type, so their speed difference must not be attributed to hardware alone.
- capacityBoth machines run all 8 compared models in their best practical configurations. Compare their quantizations and evidence labels before treating any throughput difference as a hardware result.
- costAt 8 hours a day, the Framework Desktop (Ryzen AI Max+ 395, 64 GB) has approximately 98% lower total monthly cost ($1 against $28), for a C corporation in United States (federal).
- evidenceThere are no comparable throughput rows, so this page makes no hardware-speed ranking. Practical deployment figures remain useful for fit planning but answer a different question.
- recommendationThroughput is close enough to be a wash, so this comes down to cost and capacity: the Framework Desktop (Ryzen AI Max+ 395, 64 GB) is cheaper to own, and capacity differences above decide which models you can run at all.
Every statement above is generated from the calculations on this page by fixed rules — no prose is written for individual comparisons. If the numbers change, the verdict changes with them.
Hardware
| Framework Desktop (Ryzen AI Max+ 395, 128 GB) | Framework Desktop (Ryzen AI Max+ 395, 64 GB) | |
|---|---|---|
| Purchase price estimate | $2,161 * | — |
| Memory | 128 GB | 64 GB |
| Memory bandwidth | 256 GB/s | 256 GB/s |
| Usable bandwidth indicator | 123 GB/s (48%) | 123 GB/s (48%) |
| Nominal power | 140 W | 120 W |
| Measured load power | 130 W | — |
| Idle power | 12 W | — |
| Architecture | igpu unified | igpu unified |
Like-for-like performance0 comparable models
Mixtral 8x7BPhi-3.5 MoE 42B-A6.6BNemotron 3.5 Lightning 30B-A3BQwen3-Coder 30B-A3BQwen3 30B-A3BGemma 4 26B-A4Bgpt-oss-20bDeepSeek Coder V2 Lite 16B-A2.4B
| Model | Framework Desktop (Ryzen AI Max+ 395, 128 GB) | Framework Desktop (Ryzen AI Max+ 395, 64 GB) | Winner |
|---|---|---|---|
| Mixtral 8x7B 46.703B (13B active) | — no matched configuration | — no matched configuration | Not comparable |
| Phi-3.5 MoE 42B-A6.6B 41.873B (6.6B active) | — no matched configuration | — no matched configuration | Not comparable |
| Nemotron 3.5 Lightning 30B-A3B 31.578B (3B active) | — no matched configuration | — no matched configuration | Not comparable |
| Qwen3-Coder 30B-A3B 30.532B (3.3B active) | — no matched configuration | — no matched configuration | Not comparable |
| Qwen3 30B-A3B 30.532B (3.3B active) | — no matched configuration | — no matched configuration | Not comparable |
| Gemma 4 26B-A4B 25.806B (3.8B active) | — no matched configuration | — no matched configuration | Not comparable |
| gpt-oss-20b 20.915B (3.6B active) | — no matched configuration | — no matched configuration | Not comparable |
| DeepSeek Coder V2 Lite 16B-A2.4B 15.706B (2.4B active) | — no matched configuration | — no matched configuration | Not comparable |
Hardware deltas are calculated only when quantization, runtime, exact context, execution/decode mode and relevant inference settings match. Measured and estimated results are never compared to each other. A difference under 10% is reported as a tie.
Best practical configuration
| Model | Framework Desktop (Ryzen AI Max+ 395, 128 GB) | Framework Desktop (Ryzen AI Max+ 395, 64 GB) | Practical result |
|---|---|---|---|
| Mixtral 8x7B | — Q8_0 · estimated | — Q5_K_M · estimated | Both fit; configurations may differ |
| Phi-3.5 MoE 42B-A6.6B | — Q8_0 · estimated | — Q5_K_M · estimated | Both fit; configurations may differ |
| Nemotron 3.5 Lightning 30B-A3B | ~25.7–37 t/s Q8_0 · estimated | — Q8_0 · estimated | Both fit; configurations may differ |
| Qwen3-Coder 30B-A3B | ~23.5–33.8 t/s Q8_0 · estimated | — Q8_0 · estimated | Both fit; configurations may differ |
| Qwen3 30B-A3B | ~23.5–33.8 t/s Q8_0 · estimated | — Q8_0 · estimated | Both fit; configurations may differ |
| Gemma 4 26B-A4B | ~20.5–29.5 t/s Q8_0 · estimated | — Q8_0 · estimated | Both fit; configurations may differ |
| gpt-oss-20b | ~41.6–59.8 t/s MXFP4 · estimated | — MXFP4 · estimated | Both fit; configurations may differ |
| DeepSeek Coder V2 Lite 16B-A2.4B | — Q8_0 · estimated | — Q8_0 · estimated | Both fit; configurations may differ |
This is a deployment comparison: each machine uses its own recommended configuration. Different quantizations can change speed and quality, so these figures are not raw hardware benchmarks.
Economics — United States (federal), C corporation, 8h/day
| Framework Desktop (Ryzen AI Max+ 395, 128 GB) | Framework Desktop (Ryzen AI Max+ 395, 64 GB) | |
|---|---|---|
| Purchase price estimate | $2,161 | — |
| Reclaimable VAT | $0 | $0 |
| Net cash at purchase | $2,161 | $0 |
| Monthly depreciation | $30.62 | $0.00 |
| Monthly electricity | $0.88 (6 kWh) | $0.88 (6 kWh) |
| Tax programme | §179 100.0% | §179 100.0% |
| Tax-programme benefit | $454 | $0 |
| Monthly economic cost | $27.89 | $0.69 |
| Total over 5 years | $1,673 | $41 |
Purchase prices are localized inputs in USD: tax/VAT excluded for Framework Desktop (Ryzen AI Max+ 395, 128 GB) and tax/VAT excluded for Framework Desktop (Ryzen AI Max+ 395, 64 GB). Net cash and monthly economic cost then apply the selected United States (federal) / C corporation tax treatment. Tax assumptions last verified 2026-09-07. Federal planning estimate only, not tax advice. State and local income tax, sales/use tax and incentives are excluded. It assumes 100% business use, a Section 179 election, enough business income to use it, and that the full annual limit remains available.