qwen

Qwen: Qwen3.5-9B

Qwen3.5-9B is a versatile AI model capable of processing text, images, and videos, with an impressive context length of 262,144 tokens. It supports both reasoning and the use of tools, enabling more complex tasks. Unlike some models that lack structured output capabilities, Qwen can handle a variety of inputs seamlessly. While Qwen excels in certain areas such as AI Index coding (scoring 47.3) and overall blended benchmarking (30.8), its performance in agentic tasks is relatively lower at 11.5. Given the pricing at $0.1 per input token and $0.15 per output token, it may be more cost-effective for applications requiring a mix of text, image, or video processing rather than scenarios demanding high agentic capabilities.

Quality Score
100/100
price + capability + benchmarks
Input Price
$0.10
per 1M tokens
Output Price
$0.15
per 1M tokens
Context Window
262,144
tokens

Benchmark results

Independent, published benchmarks. Blended score 30.8 across 3 benchmarks, last refreshed 2026-08-13. How scoring works →

BenchmarkMeasuresScore
AI Index broad capability composite 36.0
AI Index Coding software engineering tasks 47.3
AI Index Agentic multi-step tool-using tasks 11.5
Model ID
qwen/qwen3.5-9b
Vendor
qwen
Released
March 2026
Tokenizer
Qwen3
Input Modalities
text, image, video
Output Modalities
text
Max Output
262,144 tokens
Tool Calling
✓ supported
Structured Output
✓ supported
Reasoning Mode
✓ supported
Vision
✓ accepts images
Audio
no
Moderated
no

What it costs in practice

Computed from the current $0.10/M input and $0.15/M output rates. Run your own numbers →

JobTokensCost
Summarize a 50-page report 30k in / 1.5k out under $0.01
Classify 1,000 customer emails 500k in / 50k out $0.06
A month of a busy support chatbot 5M in / 2M out $0.80

Category rankings

Where Qwen: Qwen3.5-9B places across the 6 categories it ranks in. How we rank →

#CategoryScore
#6 Social Media PostsWriting · of 25 ranked 120
#6 Voice Assistant BackendVoice · of 25 ranked 124
#6 Cheap Bulk InferenceCost · of 25 ranked 137
#8 Self-Hosted / LocalCost · of 25 ranked 117
#8 Real-Time ChatLatency · of 25 ranked 118
#25 Video Auto-TaggingVideo · of 25 ranked 123

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Quick answers

How much does Qwen: Qwen3.5-9B cost?
$0.10 per million input tokens and $0.15 per million output tokens.
What is Qwen: Qwen3.5-9B's context window?
262,144 tokens, roughly 393 pages of text in a single request.
Does Qwen: Qwen3.5-9B support tool calling?
It supports tool calling, structured output, a reasoning mode.
Can Qwen: Qwen3.5-9B process images?
Yes, it accepts image input.