Model comparison
Qwen3.6-35B-A3B-GGUF (Unsloth) vs o3
Capability radar, value bars, and side-by-side posture.
Qwen3.6-35B-A3B-GGUF (Unsloth)
Not scored
value score
o3
93
value score
Qwen3.6-35B-A3B-GGUF (Unsloth) ctx
—
o3 ctx
200K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- o393
Attribute tape
| Field | Qwen3.6-35B-A3B-GGUF (Unsloth) | o3 |
|---|---|---|
| Developer | unsloth | OpenAI |
| Context | — | 200K |
| Modalities | Text, Code | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | $10/1M in · $40/1M out |
| Value score | — | 93 |
| 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 reasoning model focused on hard problems. |