Kimi-Linear-48B-A3B-Instruct
2recorded runs
280.8best tok/s
2verified
What the Kimi-Linear-48B-A3B-Instruct numbers mean
The fastest verified result on our board is 280.8 output tok/s on an RTX 5090 at IQ4_XS with a 32768-token context. That is about 3.6 ms per generated token — 500 tokens takes roughly 1.8 seconds. Prompt processing on the same record runs at 3733.3 tok/s, so a 2,000-token prompt is read in about 0.5 seconds. Peak VRAM was measured at 25.8 GB. Across the 2 records we hold for this model the range is 90.0–280.8 tok/s on 2 GPUs, because quantisation, context length and the engine build all move the number.
How much VRAM does Kimi-Linear-48B-A3B-Instruct need?
Kimi-Linear-48B-A3B-Instruct has 49.0B parameters. These estimates use the same formula as the VRAM calculator: weights, plus about 15% for a moderate-context KV cache and runtime overhead, plus a small engine floor.
| Quantisation | Estimated VRAM | Smallest card that fits |
|---|---|---|
| Q4_K_M (4-bit) | 32.5 GB | 48 GB |
| Q8_0 (8-bit) | 60.7 GB | 80 GB |
| FP16 (16-bit) | 113.5 GB | 141 GB |
Fastest GPUs for this model (best tok/s)
- RTX 5090280.8
- RTX PRO 6000 Blackwell90.0
Models with a similar footprint
| Model | Params | Q4_K_M weights |
|---|---|---|
| Ornith-1.5-35B-A3B | 36B | 20.2 GB |
| Ornith-1.5-35B-A3B-GPTQ-Int4-sym-G128-MTP-BF16-MixedCal-v2 | 36B | 20.2 GB |
| Ornith-1.5-35B-A3B-MTP | 36B | 20.2 GB |
| Qwen3.6-35B-A3B | 36B | 20.2 GB |
| Qwen3.6-35B-A3B-abliterated-v4 | 36B | 20.2 GB |
| Qwen3.6-35B-A3B-uncensored-heretic-Native-MTP-Preserved | 36B | 20.2 GB |
| GPU | Model | Quant | Backend | Ctx | tok/s | prompt tok/s | VRAM GB | Source |
|---|---|---|---|---|---|---|---|---|
| RTX 5090 · 32 GB | Kimi-Linear-48B-A3B-Instruct | IQ4_XS | llama.cpp 10085 (b4aa7dd47) | 32768 | 280.8 ✓ | 3733.3 | 25.8 | src |
| RTX PRO 6000 Blackwell · 96 GB | Kimi-Linear-48B-A3B-Instruct | Q8_0 | llama.cpp 10355 | 1000000 | 90.0 ✓ | 732.4 | — | src |