← Back to results
ENहिं

Qwen 3.5 397B A17B

Large open model with strong multimodal and coding capabilities.

verifiedRecently verifiedSource: huggingface+openrouter
Health medium (43)

Best for

  • • Teams needing strong multilingual open-model performance.

Limitations

  • • Deployment footprint is heavy for self-hosting.
  • • Quality varies across providers.

Use carefully when

  • • Small teams without infra budget for heavy inference.

Quickstart

  1. Pick provider based on throughput and uptime, not only price.
  2. Use prompt templates for consistent bilingual output.

Setup checklist

  • • API key required: Yes
  • • SDK quality: medium
  • • Self-host difficulty: hard

Health Meter

  • • Setup complexity: 59
  • • Safety & misuse risk: 45
  • • License/compliance risk: 18

• Good baseline for controlled deployment.

Capabilities

  • contextTokens131072
  • toolCallingtrue
  • multilingualtrue
  • supportsVisiontrue

Benchmarks

sweBenchVerified
71.5
multilingualScore
87.9
codingScore
84.2

Community reviews

0 reviews • avg -

Samples

Bilingual FAQ generator

Create Hindi + English support answers with tone constraints.

Last verified: 25/2/2026, 2:34:53 am • Source: https://huggingface.co/api/trending?type=model
AI Bazaar