by Qwen·Text + Image·262K context·Released 2026-02-25·Apache 2.0
Overview
Alibaba's native vision-language dense model with a linear-attention mechanism for fast responses. Performance approaches the much larger Qwen3.5-122B-A10B on many benchmarks, and it handles long inputs comfortably with a 262K context window. Multilingual and well-rounded for both text and image tasks, with broad provider coverage that keeps live pricing reasonable.
Benchmarks
Standardized scores (0–100), normalized across the catalog.
Intelligence55
Coding71
Instruction following88
Providers
LLMRouteHub routes to the cheapest healthy provider by default. Showing the top 5 of 10 providers by routed volume.
| Provider | Input | Output | Throughput | Uptime |
|---|---|---|---|---|
| Novita | $0.20 | $1.56 | 110 tok/s | 99.7% |
| Groq | $0.25 | $1.92 | 102 tok/s | 99.6% |
| Lambda | $0.29 | $2.28 | 95 tok/s | 99.4% |
| Hyperbolic | $0.31 | $2.40 | 87 tok/s | 99.3% |
| Parasail | $0.35 | $2.76 | 79 tok/s | 99.1% |
Use this model
curl https://llmroutehub.com/api/v1/chat/completions \
-H "Authorization: Bearer $LLMROUTEHUB_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen/qwen3.5-27b",
"messages": [{ "role": "user", "content": "Hello" }]
}'