Qwen3.6-27B
qwen-qwen3-6-27b
fields
| nameREQ | Qwen3.6-27B | www.marktechpost.com | 2026-05-01 |
| vendorREQ | Alibaba Qwen | www.marktechpost.com | 2026-05-01 |
| released_at | 2026-04-22 | www.marktechpost.com | 2026-05-01 |
| modality | text, code, image, video2 revisions | www.marktechpost.com | 2026-05-01 |
| access | open-weights | www.marktechpost.com | 2026-05-01 |
| context_window | 262144 | www.marktechpost.com | 2026-05-01 |
| parameters | 27B | www.marktechpost.com | 2026-05-01 |
| benchmark_score | 77.2 | www.marktechpost.com | 2026-05-01 |
| benchmark_name | SWE-Bench Verified | www.marktechpost.com | 2026-05-01 |
| announcement_url | https://qwen.ai/blog?id=qwen3.6-27b2 revisions | qwen.ai | 2026-05-01 |
history · 10 fields · 12 revisions
name1 revision
Qwen3.6-27B
current
Qwen3.6-27B: a dense open-weight model outperforming 397B MoE on agentic coding benchmarks. Released April 22, 2026.
vendor1 revision
Alibaba Qwen
current
Qwen3.6-27B: a dense open-weight model outperforming 397B MoE on agentic coding benchmarks. Released April 22, 2026.
released_at1 revision
2026-04-22
current
Qwen3.6-27B: a dense open-weight model outperforming 397B MoE on agentic coding benchmarks. Released April 22, 2026.
modality2 revisions
text, code, image, video
current
Qwen3.6-27B scores 77.2 on SWE-bench Verified, 59.3 on Terminal-Bench 2.0, 83.9 on LiveCodeBench v6. Native context 262,144 tokens (1M with YaRN). Natively multimodal: text, image, video.
text, code
superseded
Qwen3.6-27B: a dense open-weight model outperforming 397B MoE on agentic coding benchmarks. Released April 22, 2026.
access1 revision
open-weights
current
Qwen3.6-27B: a dense open-weight model outperforming 397B MoE on agentic coding benchmarks. Released April 22, 2026.
context_window1 revision
262144
current
Qwen3.6-27B scores 77.2 on SWE-bench Verified, 59.3 on Terminal-Bench 2.0, 83.9 on LiveCodeBench v6. Native context 262,144 tokens (1M with YaRN). Natively multimodal: text, image, video.
parameters1 revision
27B
current
Qwen3.6-27B: a dense open-weight model outperforming 397B MoE on agentic coding benchmarks. Released April 22, 2026.
benchmark_score1 revision
77.2
current
Qwen3.6-27B scores 77.2 on SWE-bench Verified, 59.3 on Terminal-Bench 2.0, 83.9 on LiveCodeBench v6. Native context 262,144 tokens (1M with YaRN). Natively multimodal: text, image, video.
benchmark_name1 revision
SWE-Bench Verified
current
Qwen3.6-27B scores 77.2 on SWE-bench Verified, 59.3 on Terminal-Bench 2.0, 83.9 on LiveCodeBench v6. Native context 262,144 tokens (1M with YaRN). Natively multimodal: text, image, video.
announcement_url2 revisions
https://qwen.ai/blog?id=qwen3.6-27b
current
Official Qwen blog post for Qwen3.6-27B at qwen.ai
https://www.marktechpost.com/2026/04/22/alibaba-qwen-team-releases-qwen3-6-27b-a-dense-open-weight-model-outperforming-397b-moe-on-agentic-coding-benchmarks/
superseded
Qwen3.6-27B: a dense open-weight model outperforming 397B MoE on agentic coding benchmarks. Released April 22, 2026.