Models
Price comparison

Qwen3.6-35B-A3B

Qwen3.6-35B-A3B by Alibaba Cloud: 13 offers. From €0.15 per 1M input tokens, with EU processing from €0.15.

Calculate costs for this modelCompare offersView price history

Profile

Profile
DeveloperAlibaba Cloud
TypeLanguage models
OriginCN
Input typestext
Context (tokens)256,000
Max. output (tokens)235,929
Reasoningohne
Parameters (bn)35.95
Open weights✓ yes
LicenceApache-2.0
VRAM at 4-bit (GB)24 (RTX PRO 4000)
Released9 Jun 2026

searchit Entity Extraction (24 Sept 2026): 32.7 %

Offers with processing in the EU (6)

ProviderCountryVariantInputOutputSourceAs of
AKI.IODEstandard€0.15€0.50aki.io13 Oct 2026
cortecsATstandard€0.15€0.50api.cortecs.ai14 Oct 2026
HostYourAINLstandard€0.17€0.58hostyourai.com14 Oct 2026
evrocSEstandard€0.30€1.20evroc.com8 Oct 2026
ScalewayFRstandard€0.25€1.50www.scaleway.com13 Oct 2026
GreenPTNLstandard€0.30€1.80docs.greenpt.ai12 Oct 2026

€ per 1M tokens. Source: providers' pricing pages, read and checked by searchit. As of 14 Oct 2026.

Offers outside the EU (7)

ProviderCountryVariantInputOutputSourceAs of
DeepInfraUSstandard€0.089€0.85deepinfra.com14 Oct 2026
ParasailUSstandard€0.13€0.89www.parasail.io2 Oct 2026
ParasailUSserverless€0.13€0.89www.parasail.io2 Oct 2026
Venice.aiUSstandard€0.16€1.05docs.venice.ai14 Oct 2026
io.netUSstandard€0.16€1.08api.intelligence.io.solutions14 Oct 2026
Novita AIUSstandard€0.22€1.33novita.ai13 Oct 2026
SiliconFlowSGstandard€0.21€1.61www.siliconflow.com2 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)84.1
Humanity's Last Exam (Artificial Analysis)22.2
OTIS Mock AIME 2024-2025 (Epoch AI)86.67
FrontierMath Tiers 1-3 v2 (Epoch AI)20.4
ExtractBench: A Benchmark for Schema-Guided Enterprise Document Extraction (arXiv:2607.29677)87.3
ExtractBench: A Benchmark for Schema-Guided Enterprise Document Extraction (arXiv:2607.29677) – value f1 gesamt87.3
ExtractBench: A Benchmark for Schema-Guided Enterprise Document Extraction (arXiv:2607.29677) – value f1 kurz93.1
ExtractBench: A Benchmark for Schema-Guided Enterprise Document Extraction (arXiv:2607.29677) – value f1 lang26.8
ExtractBench: A Benchmark for Schema-Guided Enterprise Document Extraction (arXiv:2607.29677) – value f1 mittel84.8
ExtractBench: A Benchmark for Schema-Guided Enterprise Document Extraction (arXiv:2607.29677) – value precision gesamt88.9
ExtractBench: A Benchmark for Schema-Guided Enterprise Document Extraction (arXiv:2607.29677) – value recall gesamt87.2
HallusionBench (llm-stats-Abzug)0.7
MMMU-Pro (llm-stats-Abzug, Rang 1..50 von 69)0.75
searchit Extraktions-Messlauf REPO-9 (PROMPT-CRAWLER-TEXT-START, 8 Dokumente × 3 Läufe) – treffer beziehungen18
searchit Extraktions-Messlauf REPO-9 (PROMPT-CRAWLER-TEXT-START, 8 Dokumente × 3 Läufe) – treffer entitaeten47.4

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