Model comparison
Qwen3.6-35B-A3B-GGUF (Unsloth) vs GPT-5
Capability radar, value bars, and side-by-side posture.
Qwen3.6-35B-A3B-GGUF (Unsloth)
Not scored
value score
GPT-5
94
value score
Qwen3.6-35B-A3B-GGUF (Unsloth) ctx
—
GPT-5 ctx
400K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- GPT-594
Attribute tape
| Field | Qwen3.6-35B-A3B-GGUF (Unsloth) | GPT-5 |
|---|---|---|
| Developer | unsloth | OpenAI |
| Context | — | 400K |
| Modalities | Text, Code, Image, Audio | |
| Openness | — | Proprietary Model |
| Speed | — | Fast |
| Price | — | Mid-High |
| Value score | — | 94 |
| Summary | Unsloth's GGUF-quantized packaging of Alibaba's Qwen3.6-35B-A3B sparse mixture-of-experts model, enabling local and self-hosted inference on consumer-grade hardware via llama.cpp and compatible runtimes. The model features 35B total parameters with only 3B active per token and a 262K-token native context window. | OpenAI frontier multimodal model. |