Qwen3.5-27B
qwen3.5-27bThe Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of... Built by Qwen.
Prices updated
Input price
$0.26
per 1M tokens · Standard
Output price
$2.60
per 1M tokens · Standard
Input limit
262K
tokens
Output limit
66K
tokens
Input formats
Output formats
Qwen3.5-27B price history
4 price records since 9/25/2026 · 2 changes
Qwen3.5-27B cost calculator
$18/month
Standard pricing
Overview
What is Qwen3.5-27B?
Qwen3.5-27B is a text & reasoning and vision model from Qwen. The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of... Its 262K context window and $0.26 input price make it a candidate for cost-sensitive, high-throughput applications.
Benchmarks
Qwen3.5-27B benchmarks & speed
How Qwen3.5-27B scores on standardized evaluations, and where it lands among every model we track.
22.9
Intelligence Index
77tok/s
Output speed
Reasoning
GPQA Diamond
85.8%
Graduate-level scientific reasoning · top 39%
HLE
23.9%
Humanity's Last Exam · top 45%
Latency & design
- Time to first token
- 5.66s
Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.
Rates
Qwen3.5-27B 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
Qwen3.5-27B Tools
Tools available when using Qwen3.5-27B 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.
- 262K context supports large documents, repositories and extended conversations.
- Supports text & reasoning and vision workloads in one model.
Limitations
- Generated tokens cost 10× 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