▸ DEVICE UNDER TEST
NVIDIA T400 4 GB — 4 GB VRAM.
▸ T400 4 GB SPEC
- BRAND
- NVIDIA
- VRAM
- 4 GB GDDR6
- BANDWIDTH
- 80 GB/s
- FP16 COMPUTE
- 2.2 TFLOPS
- FP32 COMPUTE
- 1.1 TFLOPS
- CUDA CORES
- 384
- TDP
- 30 W
- ARCHITECTURE
- Turing
▸ AI CAPABILITY
104/ 428 models @ Q4
With 4 GB VRAM and 80 GB/s bandwidth, this GPU handles models up to 4.7B parameters.
Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~9 tok/s.
§ 01TOP MODELS FOR T400 4 GB
104 FIT · SHOWING 20| MODEL | SIZE | VRAM Q4 | TOK/S | AVG |
|---|---|---|---|---|
| Qwen3.5-4B | 4.7B | 3.4 GB | 14 | 29.3 |
| InternLM2 5B | 4.5B | 3.2 GB | 14 | 47.6 |
| Gemma 3 4B | 4.3B | 3.1 GB | 15 | 22.8 |
| TranslateGemma 4B | 4B | 2.9 GB | 16 | 5.5 |
| MedGemma 1.5 4B | 4B | 2.9 GB | 16 | 5.5 |
| Qwen 1.5 4B | 4B | 2.9 GB | 16 | 12.6 |
| Qwen3 4B | 4B | 2.9 GB | 16 | 40.7 |
| Qwen 3.5 4B | 4B | 2.9 GB | 16 | 47.4 |
| Qwen3-VL 4B Instruct | 4B | 2.9 GB | 16 | 26.6 |
| Qwen3-Embedding 4B | 4B | 2.9 GB | 16 | — |
| Nemotron 3 Nano 4B | 3.97B | 2.9 GB | 16 | 32.0 |
| Phi-3.5 Mini 3.8B | 3.82B | 2.8 GB | 17 | 46.6 |
| phi-3-mini-4k 3.8B | 3.8B | 2.8 GB | 17 | 30.5 |
| Phi-4-mini 3.8B | 3.8B | 2.8 GB | 17 | 49.0 |
| Qwen2.5-VL-3B | 3.8B | 2.8 GB | 17 | 29.9 |
| Jina Embeddings v4 | 3.8B | 2.8 GB | 17 | — |
| granite-4.0-h-micro 3.2B | 3.2B | 2.4 GB | 20 | 18.4 |
| Llama-3.2-3B | 3.2B | 2.4 GB | 20 | 17.9 |
| Falcon3-3B | 3.1B | 2.4 GB | 21 | 25.7 |
| Qwen 2.5 3B | 3.1B | 2.4 GB | 21 | 37.2 |