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Choose up to 4 models to see their file size, memory, license and third-party evaluations side by side.
Comparison table
| Item | Qwen3.8-Flash-Next-GSQ-RCO ISTA-DASLab ✕ Remove | Qwen3.8-27B Qwen ✕ Remove |
|---|---|---|
| Parameters | 176.9B | 27.3B |
| Architecture | qwen4exp | qwen35 |
| Max context length | 262,144 | 262,144 |
| Representative quantization and size Measured | Q2_0 · 66.4 GB | UD-Q4_K_M · 16.5 GB |
| Memory at 8K Estimated | 67.8 GB | 18.2 GB |
| Memory at 32K Estimated | 68.5 GB | 19.8 GB |
| VRAM it fits (8K) Estimated | VRAM 64 GB+ | VRAM 24 GB+ |
| Smallest quantization (8K) Estimated | Q2_0 · 66.4 GB → 67.8 GB | UD-IQ1_S · 6.19 GB → 7.93 GB |
| License | Qwen Community License 1.0 Conditional | Apache License 2.0 Commercial OK |
| llama.cpp support | llama.cpp b10660 and later | llama.cpp b7990 and later |
| Downloads (30 days, total) | 6,950,765 | 10,491,667 |
| Human preference (LMArena) | - | 1,433 qwen3.8-27b |
| Capabilities (Epoch AI) | - | 152.7 Qwen 3.8 27B |
| Hard science (GPQA) | - | - |
- The representative quantization is Q4_K_M (or the smallest one if missing) from the source with the most downloads. Memory is estimated with an f16 KV cache.
- Third-party evaluations are other organizations' values for the original model before quantization, not this site's rating (sources are on the ranking page).
- This site does not judge which model is better or give an overall score.