AREX 2
27.4B parameters · 256k context · Apache License 2.0 · released 2026-09-29
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In short
AREX 2 is an open model from BAAI with 27.4B parameters. At Q4_K_M, AREX 2 needs about 17 GB of memory at 8k context and 17 GB at 8k, counting the weights, the KV cache and runtime buffers. The cheapest hardware in Germany that runs AREX 2 fully in memory at 8k context is the AMD Radeon RX 7900 XT, 778 € at Amazon, at about 25 tok/s (estimated).
Updated . Speeds are estimates; how they are worked out.
Cheapest way to run it in Germany today
AMD Radeon RX 7900 XT, new at Amazon
Runs AREX 2 at Q4_K_M fully in memory at 8k context, about 25 tok/sest.
778 €
In stock, checked
What to run it on in Germany
Fully in memory at 8k context, priced at retailers today.
Cheapest
AMD Radeon RX 7900 XT25tok/sest.Q4_K_M
778 €
Best value
AMD Radeon RX 7900 XT25tok/sest.Q4_K_M
778 €
Fastest
NVIDIA GeForce RTX 509038tok/sest.Q8_0
7.100 €
Mac
Mac Studio M3 Ultra 96GB18tok/sest.Q8_0
5.999 €
All hardware that runs it
Everything we price, best value first. Two cards split the model by layers.
| Hardware | Quant | Fits | Decode | Price | tok/s per 1,000 |
|---|---|---|---|---|---|
| NVIDIA Tesla P40 | Q6_K | fits | 9 tok/s | 369 € | 23.8 |
| AMD Radeon RX 7900 XT | Q4_K_M | fits | 25 tok/s | 778 € | 31.6 |
| Intel Arc Pro B60 | Q5_K_M | fits | 11 tok/s | 1.158 € | 9.2 |
| Mac mini M4 32GB | Q5_K_M | fits | 4 tok/s | 1.450 € | 2.5 |
| NVIDIA GeForce RTX 3090 | Q6_K | fits | 24 tok/s | 1.500 € | 15.9 |
| AMD Radeon RX 7900 XTX | Q5_K_M | fits | 25 tok/s | 1.555 € | 15.9 |
| NVIDIA GeForce RTX 3090 Ti | Q6_K | fits | 26 tok/s | 1.700 € | 15.1 |
| Intel Arc Pro B70 | Q8_0 | fits | 10 tok/s | 1.729 € | 6.0 |
| AMD Radeon AI PRO R9700 | Q8_0 | fits | 12 tok/s | 2.286 € | 5.2 |
| Mac mini M4 Pro 48GB | Q8_0 | fits | 6 tok/s | 2.549 € | 2.4 |
| NVIDIA RTX PRO 4000 Blackwell | Q6_K | fits | 17 tok/s | 2.822 € | 6.1 |
| Mac mini M4 Pro 64GB | Q8_0 | fits | 6 tok/s | 2.999 € | 2.0 |
| GMKtec EVO-X2 Ryzen AI Max+ 395 128GB | Q8_0 | fits | 5 tok/s | 3.800 € | 1.3 |
| Mac Studio M4 Max 64GB | Q8_0 | fits | 12 tok/s | 4.152 € | 2.9 |
| NVIDIA RTX PRO 4500 Blackwell | Q8_0 | fits | 19 tok/s | 4.890 € | 3.9 |
| NVIDIA GeForce RTX 4090 | Q6_K | fits | 26 tok/s | 4.990 € | 5.2 |
| Mac Studio M4 Max 128GB | Q8_0 | fits | 12 tok/s | 5.499 € | 2.2 |
| NVIDIA RTX A6000 | Q8_0 | fits | 16 tok/s | 5.671 € | 2.9 |
| Mac Studio M3 Ultra 96GB | Q8_0 | fits | 18 tok/s | 5.999 € | 3.0 |
| NVIDIA GeForce RTX 5090 | Q8_0 | fits | 38 tok/s | 7.100 € | 5.3 |
| ASUS Ascent GX10 128GB | Q8_0 | fits | 6 tok/s | 7.848 € | 0.7 |
| NVIDIA RTX PRO 5000 Blackwell 48GB | Q8_0 | fits | 28 tok/s | 7.990 € | 3.6 |
| Lenovo ThinkStation PGX GB10 128GB | Q8_0 | fits | 6 tok/s | 8.898 € | 0.7 |
| NVIDIA DGX Spark 128GB | Q8_0 | fits | 6 tok/s | 9.091 € | 0.6 |
| NVIDIA RTX 6000 Ada Generation | Q8_0 | fits | 20 tok/s | 9.741 € | 2.1 |
| Mac Studio M3 Ultra 256GB | Q8_0 | fits | 18 tok/s | 15.555 € | 1.2 |
| NVIDIA RTX PRO 6000 Blackwell | Q8_0 | fits | 38 tok/s | 20.252 € | 1.9 |
| Mac Studio M3 Ultra 512GB | Q8_0 | fits | 18 tok/s | 20.995 € | 0.9 |
| Framework Desktop Ryzen AI Max+ 395 128GB | Q8_0 | fits | 5 tok/s | – | – |
| Framework Desktop Ryzen AI Max+ 395 64GB | Q8_0 | fits | 5 tok/s | – | – |
| NVIDIA RTX PRO 5000 Blackwell 72GB | Q8_0 | fits | 28 tok/s | – | – |
| AMD Radeon PRO W7900 | Q8_0 | fits | 16 tok/s | – | – |
| Beelink GTR9 Pro Ryzen AI Max+ 395 128GB | Q8_0 | fits | 5 tok/s | – | – |
| NVIDIA GeForce RTX 3060 12GB | Q4_K_M | offload | 6 tok/s | 350 € | 16.6 |
| NVIDIA GeForce RTX 5050 | Q4_K_M | offload | 4 tok/s | 387 € | 10.9 |
| NVIDIA GeForce RTX 4060 Ti 8GB | Q4_K_M | offload | 4 tok/s | 419 € | 10.0 |
| NVIDIA GeForce RTX 5060 | Q4_K_M | offload | 4 tok/s | 449 € | 9.8 |
| NVIDIA GeForce RTX 4060 | Q4_K_M | offload | 4 tok/s | 482 € | 8.5 |
| NVIDIA GeForce RTX 3080 10GB | Q4_K_M | offload | 6 tok/s | 500 € | 11.2 |
| Intel Arc B580 | Q4_K_M | offload | 6 tok/s | 504 € | 11.3 |
| NVIDIA GeForce RTX 5060 Ti 8GB | Q4_K_M | offload | 4 tok/s | 530 € | 8.3 |
| AMD Radeon RX 9060 XT 16GB | Q4_K_M | offload | 8 tok/s | 565 € | 13.3 |
| NVIDIA GeForce RTX 4060 Ti 16GB | Q4_K_M | offload | 8 tok/s | 680 € | 11.5 |
| NVIDIA GeForce RTX 5060 Ti 16GB | Q4_K_M | offload | 10 tok/s | 735 € | 14.0 |
| Intel Arc A770 16GB | Q4_K_M | offload | 10 tok/s | 769 € | 12.9 |
| AMD Radeon RX 9070 | Q4_K_M | offload | 11 tok/s | 820 € | 13.5 |
| AMD Radeon RX 7600 XT | Q4_K_M | offload | 7 tok/s | 833 € | 8.4 |
| AMD Radeon RX 9070 XT | Q4_K_M | offload | 11 tok/s | 845 € | 13.1 |
| NVIDIA GeForce RTX 5070 | Q4_K_M | offload | 7 tok/s | 860 € | 7.9 |
| NVIDIA RTX PRO 2000 Blackwell | Q4_K_M | offload | 8 tok/s | 1.000 € | 7.8 |
| AMD Radeon RX 7800 XT | Q4_K_M | offload | 11 tok/s | 1.006 € | 10.9 |
| NVIDIA GeForce RTX 4070 | Q4_K_M | offload | 6 tok/s | 1.100 € | 5.8 |
| NVIDIA GeForce RTX 4070 Super | Q4_K_M | offload | 6 tok/s | 1.130 € | 5.7 |
| NVIDIA GeForce RTX 5070 Ti | Q4_K_M | offload | 15 tok/s | 1.389 € | 10.5 |
| NVIDIA GeForce RTX 4080 Super | Q4_K_M | offload | 13 tok/s | 1.399 € | 9.6 |
| NVIDIA GeForce RTX 4070 Ti Super | Q4_K_M | offload | 13 tok/s | 1.458 € | 8.8 |
| NVIDIA GeForce RTX 5080 | Q4_K_M | offload | 15 tok/s | 1.750 € | 8.6 |
1 other card or machine we price cannot hold it at this context.
Memory needed
Weights, KV cache and runtime buffers at each context length (KV cache at fp16).
| Quant | File | @8k | @32k | @64k | @128k |
|---|---|---|---|---|---|
| Q4_K_Mgguf | 16.0 GB | 17.4 GB | 19.1 GB | 21.2 GB | 25.6 GB |
| Q5_K_Mgguf | 19.3 GB | 20.7 GB | 22.3 GB | 24.5 GB | 28.9 GB |
| Q6_Kgguf | 22.0 GB | 23.4 GB | 25.0 GB | 27.2 GB | 31.6 GB |
| Q8_0gguf | 26.7 GB | 28.1 GB | 29.7 GB | 31.9 GB | 36.3 GB |
Run it
Copy a command for the runtime you use.
- Q4_K_M
- Ollama
ollama run hf.co/bartowski/BAAI_AREX-2-GGUF:Q4_K_M - LM Studio
lms get bartowski/BAAI_AREX-2-GGUF@q4_k_m - llama.cpp
llama-server -hf bartowski/BAAI_AREX-2-GGUF:Q4_K_M
- Ollama
- Q5_K_M
- Ollama
ollama run hf.co/bartowski/BAAI_AREX-2-GGUF:Q5_K_M - LM Studio
lms get bartowski/BAAI_AREX-2-GGUF@q5_k_m - llama.cpp
llama-server -hf bartowski/BAAI_AREX-2-GGUF:Q5_K_M
- Ollama
- Q6_K
- Ollama
ollama run hf.co/bartowski/BAAI_AREX-2-GGUF:Q6_K - LM Studio
lms get bartowski/BAAI_AREX-2-GGUF@q6_k - llama.cpp
llama-server -hf bartowski/BAAI_AREX-2-GGUF:Q6_K
- Ollama
- Q8_0
- Ollama
ollama run hf.co/bartowski/BAAI_AREX-2-GGUF:Q8_0 - LM Studio
lms get bartowski/BAAI_AREX-2-GGUF@q8_0 - llama.cpp
llama-server -hf bartowski/BAAI_AREX-2-GGUF:Q8_0
- Ollama
Notes
Dense 27B multimodal model fine-tuned from Qwen3.8-27B; requires a recent Transformers release with Qwen3.8 support. The card says to follow the Qwen base model's terms and notices.
Questions
- How much VRAM does AREX 2 need?
- At Q4_K_M, AREX 2 needs about 17 GB of memory at 8k context and 17 GB at 8k, counting the weights, the KV cache and runtime buffers.
- What is the best GPU for running AREX 2 locally?
- The cheapest hardware in Germany that runs AREX 2 fully in memory at 8k context is the AMD Radeon RX 7900 XT, 778 € at Amazon, at about 25 tok/s (estimated). The fastest we price is the NVIDIA GeForce RTX 5090, at about 38 tok/s.
- What is the cheapest way to run AREX 2 in Germany today?
- The AMD Radeon RX 7900 XT, 778 € new at Amazon, in stock: it runs AREX 2 at Q4_K_M fully in memory at 8k context, at about 25 tok/s (estimated).
- Can I run AREX 2 on a 16 GB GPU?
- Only partly: at 8k context it does not fit in 16 GB, so part of it runs from system RAM and it slows to about 8 tok/s on the AMD Radeon RX 9060 XT 16GB (estimated).
- Can I run AREX 2 on a 24 GB GPU?
- Yes: at Q6_K it fits fully in 24 GB at 8k context. On the NVIDIA GeForce RTX 3090 Ti it runs at about 26 tok/s (estimated).
- How do I run AREX 2 locally?
- With Ollama: ollama run hf.co/bartowski/BAAI_AREX-2-GGUF:Q4_K_M (the Q4_K_M build). LM Studio and llama.cpp commands are on this page.
- What licence is AREX 2 released under?
- Apache License 2.0, which allows commercial use.