Qwen3.5 Plus 2026-02-15
qwen3.5-plus-02-15The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of... Built by Qwen.
Prices updated
Input price
$0.26
per 1M tokens · Standard
Output price
$1.56
per 1M tokens · Standard
Input limit
1M
tokens
Output limit
66K
tokens
Input formats
Output formats
Qwen3.5 Plus 2026-02-15 price history
2 price records since 9/25/2026
Qwen3.5 Plus 2026-02-15 cost calculator
$13/month
Standard pricing
Overview
What is Qwen3.5 Plus 2026-02-15?
Qwen3.5 Plus 2026-02-15 is a text & reasoning and vision model from Qwen. The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of... Its 1M context window and $0.26 input price make it a candidate for cost-sensitive, high-throughput applications.
Benchmarks
Qwen3.5 Plus 2026-02-15 benchmarks & speed
How Qwen3.5 Plus 2026-02-15 scores on standardized evaluations, and where it lands among every model we track.
1171
DesignArena Elo
Latency & design
- DesignArena win rate
- 48.4%
- Design battles judged
- 18,500
Independent scores from Artificial Analysis and DesignArena · updated 10/8/2026. Higher is better; ranks compare against every model we track with that score.
Rates
Qwen3.5 Plus 2026-02-15 pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.26
Per 1M tokens
Cached input · Standard
Not available
No listed cached-input rate
Capabilities
Qwen3.5 Plus 2026-02-15 Tools
Tools available when using Qwen3.5 Plus 2026-02-15 through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Not supported
Strengths and limitations
Strengths
- Low input cost at $0.26 per million tokens suits high-volume workloads.
- 1M context supports large documents, repositories and extended conversations.
- Supports text & reasoning and vision workloads in one model.
Limitations
- Generated tokens cost 6× more than input tokens, which matters for verbose responses.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider