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Best free AI models for the RTX PRO 6000 Blackwell
RTX PRO 6000 Blackwell: 96 GB of video memory, 1792 GB/s. These are the free models it runs, ranked by Arena votes, with the speed you can expect.
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Voted models that fit fully on the GPU
| Model | Arena score | Size | 4-bit file | Tokens/s |
|---|---|---|---|---|
| Gemma 4 31B |
1443 | 31.3 B | 20 GB | 62 |
| Qwen3.8-27B alibaba |
1441 | 27.8 B | 18 GB | 74 |
| Gemma 4 26B A4B google · MoE, 4 B active |
1434 | 25.8 B | 17 GB | 203 |
| Qwen3.5-122B-A10B alibaba · MoE, 10 B active |
1417 | 125.1 B | 77 GB | 137 |
| Qwen3.5-27B alibaba |
1409 | 27.8 B | 18 GB | 74 |
| glm-4.6v zai · MoE, 14.3 B active |
1376 | 107.7 B | 66 GB | 99 |
| gemma-3-27b-it |
1358 | 27.4 B | 18 GB | 73 |
| glm-4.5v zai · MoE, 14.3 B active |
1333 | 107.7 B | 66 GB | 99 |
Bigger models with help from 64 GB of system RAM
Part of the model sits in system memory, which is much slower than video memory.
| Model | Arena score | Size | 4-bit file | Tokens/s |
|---|---|---|---|---|
| qwen3-vl-235b-a22b-instruct alibaba · MoE, 22 B active |
1420 | 235.7 B | 144 GB | 14 |
| qwen3-235b-a22b-instruct-2507 alibaba · MoE, 22 B active |
1419 | 235.1 B | 144 GB | 14 |
| qwen3-vl-235b-a22b-thinking alibaba · MoE, 22 B active |
1401 | 235.7 B | 144 GB | 14 |
Popular small models
Official small models with no Arena votes yet, ordered by downloads on Hugging Face (popularity, not quality).
| Model | Downloads/month | Size | 4-bit file | Tokens/s |
|---|---|---|---|---|
| Qwen3-0.6B Qwen |
29.5M | 0.8 B | 1.7 GB | 495 |
| Qwen3-4B Qwen |
11.8M | 4 B | 3.6 GB | 278 |
| Qwen3-8B Qwen |
8.9M | 8.2 B | 6.2 GB | 185 |
| Qwen3-14B Qwen |
8.4M | 14.8 B | 10 GB | 119 |
| Qwen3.5-4B Qwen |
7.8M | 4.7 B | 4.0 GB | 310 |
| Qwen3.5-9B Qwen |
7.5M | 9.7 B | 7.1 GB | 185 |
Estimates at 4-bit (Q4_K_M) with an 8K context, calibrated on 44 real llama.cpp tests (typical error about ±10%). Tokens per second: about 10 is reading speed. As an Amazon Associate, FreeLLMArena earns from qualifying purchases; the links do not change the rankings.
Questions
What is the best free AI model for the RTX PRO 6000 Blackwell?
Gemma 4 31B (Arena score 1443) is the highest-voted open model that fits entirely in 96 GB of video memory at 4-bit, writing about 62 tokens per second.
How big a model can the RTX PRO 6000 Blackwell run?
About 148 billion parameters for a dense model at 4-bit with an 8K context, fully on the GPU. Mixture-of-experts models can be bigger, and with 64 GB of system RAM larger models still run, more slowly.
Is the RTX PRO 6000 Blackwell good for local LLMs?
It has 96 GB of memory and 1792 GB/s of bandwidth. Memory decides which models fit; bandwidth decides how fast they write. With 24 GB or more it runs 27–32 B models, the sweet spot of quality for home use.
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