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QwenReleased on Mar 2, 2026

Qwen3.5-9B: API Pricing, Context Window & Benchmarks

Qwen3.5-9B is a language model from Qwen, released in March 2026, with multimodal input.

Qwen3.5-9B is a 9 billion parameter vision-language model using Gated DeltaNet hybrid architecture with a 3:1 ratio of linear attention to full softmax attention. It supports 262K native context length and delivers strong performance

Qwen3.5-9B benchmarks

Capability tiers

Standing within each category, adjusted for leaderboard depth.

Real tasks performance

High-confidence performance for Qwen3.5-9B across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.

Performance by conversation depth

How Qwen3.5-9B holds up as conversations get longer.

Quality Tracker

Qwen3.5-9B Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

LLM Stats Logollm-stats.com - Tue Sep 08 2026
Notice missing or incorrect data?

Qwen3.5-9B model size

Qwen3.5-9B has 9 billion parameters. See how it compares to other models in the same parameter range.

Parameters
9B
Small (3–10B)
9B
1B7B70B405B

Qwen3.5-9B API

Available from the model provider

Qwen3.5-9B has an official provider API. It is not currently routed through the LLM Stats gateway.

Read the official API documentation

Qwen3.5-9B latency

Qwen3.5-9B time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.

Qwen3.5-9B examples

Recent arena outputs from Qwen3.5-9B, picked from the highest-ranked matchups.

Qwen3.5-9B license

Qwen3.5-9B is released under the Apache 2.0 license, which permits commercial use, has 9.0B parameters.

License
Apache 2.0
Commercial use allowed
Parameters
9.0B

Apache License 2.0 - allows commercial use

Qwen3.5-9B resources

Official sources for Qwen3.5-9B: api documentation, official playground, source repository, model weights.

Qwen3.5-9B vs other models

The most-compared alternatives to Qwen3.5-9B are Kimi K2 0905, Llama 3.3 70B Instruct, LongCat-Flash-Thinking. Open any pair side-by-side for benchmarks, pricing, context, and latency.

Models like Qwen3.5-9B

Models ranked just above and below Qwen3.5-9B by LLM Stats score.

 

Kimi K2 0905

Score pending
 

Llama 3.3 70B Instruct

Score pending
 

LongCat-Flash-Thinking

Score pending
 

Nemotron Nano 9B v2

Score pending
 

Nova 2 Pro

Score pending
 

Qwen3 VL 32B Thinking

Score pending

FAQ

Common questions about Qwen3.5-9B.

When was Qwen3.5-9B released?

Qwen3.5-9B was released on March 2, 2026 by Qwen. This is the official Qwen3.5-9B release date tracked on LLM Stats.

Is Qwen3.5-9B available via API?

Yes, Qwen3.5-9B is available via API. See the official documentation for authentication and endpoint details.

How big is Qwen3.5-9B?

Qwen3.5-9B has 9 billion parameters. It ships as an open-weight model, so you can download and run it on your own hardware.

Who created Qwen3.5-9B?

Qwen3.5-9B was created by Qwen.

What is the license for Qwen3.5-9B?

Qwen3.5-9B is released under the Apache 2.0 license. This is an open-source / open-weight license that permits self-hosting.

Is Qwen3.5-9B multimodal?

Yes, Qwen3.5-9B is multimodal and can accept both text and images as input.

What models should I compare Qwen3.5-9B against?

Common Qwen3.5-9B comparisons include Qwen3.5-9B vs Kimi K2 0905, Qwen3.5-9B vs Llama 3.3 70B Instruct, Qwen3.5-9B vs LongCat-Flash-Thinking. Compare them side by side for benchmark scores, pricing, context window, latency and API availability.