o1-minivsQwen3.6
o1-mini | Qwen3.6 | |
|---|---|---|
| Specifications | ||
Parameters | — | 35B |
Context window | 128k | 256k |
| Benchmarks | ||
Agentic coding SWE-Bench ProCan the AI fix real bugs in real software? It's handed actual problems from open-source projects and has to write code that genuinely solves them. Higher is better. | — | 49.5% |
Coding SWE-Bench VerifiedReal coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | — | 73.4% |
Multilingual coding SWE-Bench MultilingualLike SWE-Bench, but the coding problems span many programming languages, not just one. Tests how broadly the AI can code. Higher is better. | — | 67.2% |
Agentic terminal coding Terminal-Bench 2.0Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? (Version 2.0 of the test.) Higher is better. | — | 51.5% |
Multidisciplinary reasoning Humanity's Last Exam · no toolsHumanity's Last Exam — extremely hard expert questions across many subjects, written so you can't just look up the answer. “No tools” means the AI answers on its own. Higher is better. | — | 21.4% |
Science GPQA DiamondGraduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 60% | 86%Best |
Chart reasoning CharXiv ReasoningCan the AI read and reason about complex charts and figures, not just text? Higher is better. | — | 78% |
Multimodal reasoning MMMU-ProA tougher version of MMMU — college-level questions that mix images, diagrams, and text together. Higher is better. | — | 75.3% |
Multimodal MMMUTests the AI on understanding images and text together across many college subjects. Higher is better. | — | 81.7% |
| Overview | ||
| Company | OpenAI | Qwen |
| Release date | Sep 12 2024 | Apr 16 2026 |
| Access | Proprietary | Open Weight |
Which is better: o1-mini or Qwen3.6?
Qwen3.6 leads o1-mini on 1 of the 1 benchmark they both report (GPQA Diamond). o1-mini shipped 581 days before Qwen3.6, so benchmark comparisons should account for the intervening progress.
Context windows are 128k (o1-mini) vs 256k (Qwen3.6). o1-mini is proprietary, while Qwen3.6 is open weight.
On GPQA Diamond, Qwen3.6 leads at 86% vs o1-mini at 60%.
Frequently asked questions
o1-mini was released by OpenAI on Sep 12 2024.
Qwen3.6 was released by Qwen on Apr 16 2026.
Qwen3.6 leads on GPQA Diamond — o1-mini 60% vs Qwen3.6 86%.
o1-mini has a 128k context window; Qwen3.6 has 256k.
o1-mini is a proprietary model released by OpenAI. Qwen3.6 is an open weight model released by Qwen.