Qwen3.5 35B A3B Thinking
Qwen3.5 35B A3B with extended reasoning enabled. A native vision-language MoE model with hybrid attention.
- Reasoning
- Vision
- Video Input
Added Feb 24, 2026
Model weightsPricing
Auto routing · per 1M tokens- Input
- $0.14
- Output
- $1.00
- Cache read
- $0.05
Specifications
- Context window
- 260.1K
- Max output
- 65.5K
- Parameters
- 35B / 3B
- Total / active
- Avg output (7d)
- 1.3K tokens
- Longer than 79% of models
Benchmarks
Benchmarks
Sourced from Vectara.
Hallucination Rate
10.5%
Better than 41% of models compared
Factual Consistency
89.5%
Better than 41% of models compared
Answer Rate
99.8%
Better than 64% of models compared
Avg Summary Length
Average generated summary length
94.9
Last updated 2026-10-22 · Matched as qwen/qwen3.5-35b-a3b
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)
| $0.14 | $1.00 | $0.05 | N/A | N/A | |
| $0.14 | $1.00 | $0.05 | N/A | N/A | |
| $0.147 | $1.05 | $0.0525 | 0.5s | 31 tps | |
| $0.157 | $1.05 | $0.0525 | 0.6s | 92 tps | |
| $0.236 | $1.89 | $0.236 | 1.1s | 47 tps | |
| $0.252 | $1.89 | $0.157 | 0.7s | 42 tps | |
| $0.263 | $2.10 | N/A | 0.6s | 80 tps | |
| $0.263 | $2.10 | N/A | N/A | N/A |
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.