qwen

Qwen: Qwen3.5-9B

Qwen3.5-9B is an advanced AI model from qwen capable of processing text, images, and videos within a vast context length of 262,144 tokens. It supports both reasoning and the use of external tools, though it does not generate structured output directly. This model excels in handling complex inputs across multiple modalities. Considering its blended benchmark score of 31.0, which is respectable but not the highest among models, Qwen3.5-9B might be a solid choice for those requiring versatile input capabilities and reasonable pricing-$0.1 per million input tokens and $0.15 per million output tokens. Its suitability depends on whether these benchmarks meet your specific needs, given that its coverage is limited to three independent evaluations as of the latest update in 2026.

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 31.0 across 3 benchmarks, last refreshed 2026-07-29. How scoring works →

BenchmarkMeasuresScore
AI Index broad capability composite 35.4
AI Index Coding software engineering tasks 47.3
AI Index Agentic multi-step tool-using tasks 12.2
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
#23 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.