Qwen: Qwen3.5-9B

Image input Video input Text 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...

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

This model supports the following parameters:

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

This model supports the following features:

Structured Outputs Tools Reasoning Response Format
Performance Summary

Qwen3.5-9B, a multimodal foundation model from qwen, demonstrates a strong overall reliability with an 83% success rate across benchmarks, indicating consistent operational stability. However, its speed performance is a notable area for improvement, ranking in the 10th percentile, suggesting longer response times compared to peers. In terms of cost, the model offers competitive pricing, positioned at the 53rd percentile. Analyzing specific benchmarks, Qwen3.5-9B exhibits exceptional performance in Mathematics (97.0% accuracy, 98th percentile) and perfect accuracy in Ethics (100.0%), making it a standout in these domains. Its coding capabilities are also strong, achieving 92.0% accuracy (75th percentile). General Knowledge is solid at 99.0% accuracy (65th percentile), and Reasoning is respectable at 79.2% (59th percentile). A significant weakness is observed in Hallucinations, with only 12.0% accuracy (4th percentile), indicating a tendency to generate incorrect information rather than acknowledging uncertainty. Instruction Following also presents a challenge at 48.5% accuracy (40th percentile). Despite its multimodal design, the model's current benchmark results highlight a need for refinement in areas requiring precise adherence to instructions and the ability to identify fictional concepts.

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 $0.1 / 1M tokens $0.15 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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