Model comparison
albedo-qwen3.6-35b-1 vs o3
Capability radar, value bars, and side-by-side posture.
albedo-qwen3.6-35b-1
Not scored
value score
o3
93
value score
albedo-qwen3.6-35b-1 ctx
—
o3 ctx
200K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- o393
Attribute tape
| Field | albedo-qwen3.6-35b-1 | o3 |
|---|---|---|
| Developer | Unknown | OpenAI |
| Context | — | 200K |
| Modalities | Text, Code | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | $10/1M in · $40/1M out |
| Value score | — | 93 |
| Summary | A community fine-tune of Alibaba's Qwen3.6-35B-A3B sparse mixture-of-experts model, hosted by the independent Hugging Face user seed429. The upstream base model targets agentic coding, tool use, and long-context reasoning with 35B total parameters but only ~3B active per token. | OpenAI reasoning model focused on hard problems. |