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Best free AI models for the RTX A6000
RTX A6000: 48 GB of video memory, 768 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 | 28 |
| Qwen3.8-27B alibaba |
1441 | 27.8 B | 18 GB | 33 |
| Gemma 4 26B A4B google · MoE, 4 B active |
1434 | 25.8 B | 17 GB | 129 |
| Qwen3.5-27B alibaba |
1409 | 27.8 B | 18 GB | 33 |
| gemma-3-27b-it |
1358 | 27.4 B | 18 GB | 33 |
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 |
|---|---|---|---|---|
| Qwen3.5-122B-A10B alibaba · MoE, 10 B active |
1417 | 125.1 B | 77 GB | 26 |
| glm-4.6v zai · MoE, 14.3 B active |
1376 | 107.7 B | 66 GB | 20 |
| glm-4.5v zai · MoE, 14.3 B active |
1333 | 107.7 B | 66 GB | 20 |
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 | 296 |
| Qwen3-4B Qwen |
11.8M | 4 B | 3.6 GB | 142 |
| Qwen3-8B Qwen |
8.9M | 8.2 B | 6.2 GB | 88 |
| Qwen3-14B Qwen |
8.4M | 14.8 B | 10 GB | 55 |
| Qwen3.5-4B Qwen |
7.8M | 4.7 B | 4.0 GB | 161 |
| Qwen3.5-9B Qwen |
7.5M | 9.7 B | 7.1 GB | 89 |
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 A6000?
Gemma 4 31B (Arena score 1443) is the highest-voted open model that fits entirely in 48 GB of video memory at 4-bit, writing about 28 tokens per second.
How big a model can the RTX A6000 run?
About 73 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 A6000 good for local LLMs?
It has 48 GB of memory and 768 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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