FreeLLMAll models › Compare
DeepSeek-V4-Pro (High, 20260813) vs Qwen3.8-Max
Qwen3.8-Max is ahead on Arena (1483 vs 1465): in a blind vote people prefer it about 53% of the time.
DeepSeek-V4-Pro (High, 20260813)1465Arena chat · #57 of 418
Qwen3.8-Max1483Arena chat · #23 of 418
Arena scores by category
| Category | DeepSeek-V4-Pro (High, 20260813) | Qwen3.8-Max | Ahead |
|---|---|---|---|
| Chat | 1465 | 1483 | Qwen3.8-Max |
| Coding | 1582 | 1673 | Qwen3.8-Max |
Scores from blind human votes on Arena. A gap under 10 points is too small to call.
Size and where to use them free
| DeepSeek-V4-Pro (High, 20260813) | Qwen3.8-Max | |
|---|---|---|
| Made by | deepseek | alibaba |
| Size | 1598.8 B (74.7 B active) | not public |
| 4-bit download | 970 GB | — |
| Use it free | download and run at home · MIT license | Proprietary license |
Speed at home
| Hardware | DeepSeek-V4-Pro (High, 20260813) | Qwen3.8-Max |
|---|---|---|
| RTX 3090 | does not fit | online only |
| RTX 4090 | does not fit | online only |
| RTX 5090 | does not fit | online only |
| RX 7900 XTX | does not fit | online only |
| Mac M4 Max 128 GB | does not fit | online only |
| Ryzen AI Max+ 395 128 GB | does not fit | online only |
Estimates at 4-bit with an 8K context, 64 GB of system RAM for offload, calibrated on 44 real llama.cpp tests.
Try them yourself
Ask both the same question side by side in Try & compare, or vote blind between free models in Free Arena.
More comparisons
- DeepSeek-V4-Pro (High, 20260813) vs Gemini 3.8 Flash (High)
- DeepSeek-V4-Pro (High, 20260813) vs Kimi K3 (Max)
- DeepSeek-V4-Pro (High, 20260813) vs Gemini 3.6 Flash (High)
- DeepSeek-V4-Pro (High, 20260813) vs GLM-5.3 (Max)
- DeepSeek-V4-Pro (High, 20260813) vs MiMo-V2.6-Pro
- DeepSeek-V4-Pro (High, 20260813) vs DeepSeek-V4.1-Flash-20260910 (Max)
- Qwen3.8-Max vs Gemini 3.8 Flash (High)
- Qwen3.8-Max vs Kimi K3 (Max)
- Qwen3.8-Max vs Gemini 3.6 Flash (High)
- Qwen3.8-Max vs GLM-5.3 (Max)
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