The Qwen 3.5 native vision-language Plus model is built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In multiple task evaluations, the 3.5 series has demonstrated outstanding performance comparable to current leading frontier models, with leapfrog improvements over the 3 series in both pure-text and multimodal capabilities. This model version is functionally equivalent to the snapshot model qwen3.5-plus-2026-02-15.
Pricing
Input Modalities
- Text
- Vision
- Video
Output Modalities
- Text
Context length
- 1M tokens
Max output
- 65.5K tokens
Capabilities
- Thinking
- Streaming
- Tool calling
- Web search
- URL context
- Code interpreter
- Computer use
- File search
- Memory tool
- Structured outputs
- Citations
- Prompt caching
- Background mode
- Server-side sessions
Providers
Alibaba Cloud alicloud-qwen3.5-plus
Pricing$0.1096$0.6576
Web Search$0.00055/request
Cache Write$0.137/M tokens
Cache Read$0.011/M tokens
Pricing$0.274$1.644
Web Search$0.00055/request
Cache Write$0.3425/M tokens
Cache Read$0.0274/M tokens
Pricing$0.548$3.288
Web Search$0.00055/request
Cache Write$0.685/M tokens
Cache Read$0.0548/M tokens
Context996K
Max output64K
Latency2.4S
Throughput26.6TPS
Uptime
100.00% uptime 3 days ago
99.58% uptime 2 days ago
99.62% uptime yesterday
Performance for qwen3.5-plus
Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).
Uptime
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Latency
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Throughput
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Try this model
Python
