Qwen3.5 27B Thinking
Qwen3.5 27B with extended reasoning enabled. A native vision-language dense model optimized for fast responses.
- Reasoning
- Vision
- Video Input
Added Feb 24, 2026
Model weightsPricing
Auto routing · per 1M tokens- Input
- $0.20
- Output
- $1.75
- Cache read
- $0.02
Specifications
- Context window
- 260.1K
- Max output
- 65.5K
- Parameters
- 27B
- Avg output (7d)
- 1.4K tokens
- Longer than 83% of models
Benchmarks
Benchmarks
Sourced from Vectara.
Hallucination Rate
12.1%
Better than 24% of models compared
Factual Consistency
87.9%
Better than 24% of models compared
Answer Rate
99.8%
Better than 64% of models compared
Avg Summary Length
Average generated summary length
94.4
Last updated 2026-10-22 · Matched as qwen/qwen3.5-27b
Vectara LeaderboardProviders
Choose or restrict providers with the API. Provider-selection prices include the selection markup. Provider selection guide · Pricing API (JSON, USD per 1K tokens)
| $0.27 | $2.16 | N/A | N/A | N/A | |
| $0.20 | $1.75 | $0.02 | N/A | N/A | |
| $0.21 | $1.84 | $0.021 | 2.7s | 72 tps | |
| $0.263 | $2.10 | N/A | 2.7s | 15 tps | |
| $0.273 | $2.73 | N/A | 2.2s | 20 tps | |
| $0.284 | $2.27 | $0.284 | 2.1s | 43 tps | |
| $0.315 | $2.52 | N/A | 1.5s | 50 tps | |
| $0.315 | $2.52 | N/A | 2.9s | 24 tps |
Privacy:ZDR, prompts not retainedNo training on promptsRetention and training unclearBest latency and throughput are highlighted.
Batch API
Batch rows for this model use normal routing and cost the same as standard API requests. Set provider in a row to choose a provider.