Qwen: Qwen3.5-27B

Image input Video input Text input Text output
Author's Description

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...

Key Specifications
Cost
$$$$$
Context
262K
Parameters
27B
Released
Feb 25, 2026
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Top Logprobs Response Format Top P Seed Temperature Logprobs Reasoning Max Tokens Tool Choice Structured Outputs Tools Include Reasoning Presence Penalty
Features

This model supports the following features:

Reasoning Structured Outputs Tools Response Format
Performance Summary

Qwen3.5-27B, a vision-language model from qwen, demonstrates exceptional speed and cost-efficiency. It consistently ranks among the fastest models, achieving an Infinityth percentile in speed across 8 benchmarks, and offers highly competitive pricing, also at an Infinityth percentile across 4 benchmarks. The model exhibits strong reliability with an 88% success rate across 8 benchmarks, indicating few technical issues. In terms of specific performance, Qwen3.5-27B shows a notable strength in Email Classification, achieving 98.0% accuracy, placing it in the 52nd percentile, with very low cost and duration. Its Hallucinations (Baseline) performance is also strong at 94.0% accuracy, suggesting a good ability to acknowledge uncertainty. Instruction Following is another area of strength, with 80.0% accuracy, ranking in the 89th percentile. However, the model currently shows significant weaknesses in several core areas, including General Knowledge, Coding, Reasoning, Ethics, and Mathematics, where it recorded 0.0% accuracy across all these benchmarks. This suggests that while it excels in specific tasks and operational efficiency, its general cognitive and problem-solving capabilities require substantial development.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.195
Completion $1.56

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Alibaba
Alibaba | qwen/qwen3.5-27b-20260224 262K $0.195 / 1M tokens $1.56 / 1M tokens
Novita
Novita | qwen/qwen3.5-27b-20260224 262K $0.3 / 1M tokens $2.4 / 1M tokens
AtlasCloud
AtlasCloud | qwen/qwen3.5-27b-20260224 262K $0.27 / 1M tokens $2.16 / 1M tokens
Phala
Phala | qwen/qwen3.5-27b-20260224 262K $0.3 / 1M tokens $2.4 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
Other Models by qwen