Qwen: Qwen3.5-9B

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

Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design with early fusion of multimodal tokens, allowing the model to process and reason across text and images within the same context.

Key Specifications
Cost
$$$$
Context
262K
Parameters
9B
Released
Mar 10, 2026
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Top P Tool Choice Logit Bias Reasoning Stop Tools Temperature Max Tokens Min P Structured Outputs Presence Penalty Frequency Penalty Response Format Include Reasoning
Features

This model supports the following features:

Tools Structured Outputs Response Format Reasoning
Performance Summary

Qwen3.5-9B, a multimodal foundation model from qwen, demonstrates a strong overall performance profile, particularly in reliability, achieving an 81% success rate across benchmarks. While it tends to have longer response times, ranking in the 11th percentile for speed, it offers competitive pricing, placing in the 54th percentile. The model exhibits notable strengths in specific areas. It achieves perfect accuracy in Ethics, indicating a robust understanding of moral reasoning and professional conduct. Its Coding capabilities are strong, with 92.0% accuracy, and it performs well in General Knowledge (99.0% accuracy) and Reasoning (79.2% accuracy). However, a significant weakness is observed in its ability to acknowledge uncertainty, with a very low 12.0% accuracy in the Hallucinations benchmark, suggesting a tendency to generate responses rather than indicate a lack of knowledge. Instruction Following also presents an area for improvement, with 48.5% accuracy. Despite its multimodal design, the provided benchmarks primarily focus on text-based tasks, limiting a full assessment of its visual understanding capabilities.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.1
Completion $0.15

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Together
Together | qwen/qwen3.5-9b-20260310 262K $0.1 / 1M tokens $0.15 / 1M tokens
Venice
Venice | qwen/qwen3.5-9b-20260310 256K $0.05 / 1M tokens $0.15 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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