Qwen3.6-27B
Qwen3.6-27B by Alibaba Cloud: 8 offers. From €0.22 per 1M input tokens, with EU processing from €0.40.
Calculate costs for this modelCompare offersView price history
Profile
| Profile | |
|---|---|
| Developer | Alibaba Cloud |
| Type | Language models |
| Origin | CN |
| Input types | text+bild+video |
| Context (tokens) | 262,144 |
| Max. output (tokens) | 65,536 |
| Reasoning | ohne |
| Parameters (bn) | 27.78 |
| Open weights | ✓ yes |
| Licence | Apache-2.0 |
| VRAM at 4-bit (GB) | 20 (RTX PRO 4000) |
| Released | – |
searchit Entity Extraction (24 Sept 2026): 40.3 %
Offers with processing in the EU (2)
| Provider | Country | Variant | Input | Output | Source | As of |
|---|---|---|---|---|---|---|
| cortecs | AT | standard | €0.40 | €2.70 | api.cortecs.ai | 14 Oct 2026 |
| OVHcloud | FR | standard | €0.40 | €2.70 | www.ovhcloud.com | 13 Oct 2026 |
€ per 1M tokens. Source: providers' pricing pages, read and checked by searchit. As of 14 Oct 2026.
Offers outside the EU (6)
| Provider | Country | Variant | Input | Output | Source | As of |
|---|---|---|---|---|---|---|
| Chutes | – | standard | €0.22 | €1.79 | llm.chutes.ai | 14 Oct 2026 |
| io.net | US | standard | €0.30 | €2.65 | api.intelligence.io.solutions | 14 Oct 2026 |
| SiliconFlow | SG | standard | €0.27 | €2.86 | www.siliconflow.com | 2 Oct 2026 |
| DeepInfra | US | standard | €0.29 | €2.86 | deepinfra.com | 14 Oct 2026 |
| Venice.ai | US | standard | €0.29 | €2.90 | docs.venice.ai | 14 Oct 2026 |
| Novita AI | US | standard | €0.54 | €3.22 | novita.ai | 13 Oct 2026 |
€ per 1M tokens. Source: providers' pricing pages, read and checked by searchit. As of 14 Oct 2026.
AI Act
Whether the developer has signed the Code of Practice for general-purpose AI models: unknown. What this means is explained under “EU and AI Act”. EU processing and AI Act
Benchmarks
| Benchmarks | |
|---|---|
| GPQA Diamond (Artificial Analysis) | 84.24 |
| Humanity's Last Exam (Artificial Analysis) | 23.08 |
| OTIS Mock AIME 2024-2025 (Epoch AI) | 91.11 |
| FrontierMath Tiers 1-3 v2 (Epoch AI) | 35.09 |
| LiveBench (Aufgabensatz 2026-01-08) | 64 |
| MMMU-Pro (llm-stats-Abzug, Rang 1..50 von 69) | 0.76 |
| searchit Extraktions-Messlauf REPO-9 (PROMPT-CRAWLER-TEXT-START, 8 Dokumente × 3 Läufe) – treffer beziehungen | 31.9 |
| searchit Extraktions-Messlauf REPO-9 (PROMPT-CRAWLER-TEXT-START, 8 Dokumente × 3 Läufe) – treffer entitaeten | 48.8 |