Qwen: Qwen3.5-9B

Qwen: Qwen3.5-9B

qwen · Released Mar 10, 2026 Professional
Intelligence #10 / 565
82.0 Our Score
Speed #181 / 262
64.9 tokens / sec
Input #143 / 565
$0.040 per 1M tokens
Output #156 / 565
$0.150 per 1M tokens
Context #102 / 565
262,144 tokens

Analysis Summary

Qwen: Qwen3.5-9B sits in the Professional tier on our leaderboard, ranked #10 of 565 published models on overall intelligence. At $0.040 input and $0.150 output per 1M tokens, it is among the most expensive on the market. It offers a generous context window for extended reasoning and code review and supports tool use, function calling, vision, and reasoning.

Editorial notes

Qwen3.5-9B delivers strong agentic performance and vision support at just $0.04/1M input tokens, with a 262K context window; coding capability is limited relative to larger models.

Assessed May 31, 2026

Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?

Performance Profile

Intelligence4.1Technical4.5Value8.3Content4.3
Intelligence 4.1/10
Technical 4.5/10
Content 4.3/10
Value 8.3/10

How Qwen: Qwen3.5-9B compares

Qwen: Qwen3.5-9B ranks #122 of 370 AI models we track for overall intelligence, #136 of 307 for coding, #82 of 282 for agentic tasks. Its 262K-token context window is larger than 82% of the models we list. At $0.04 per million input tokens it is cheaper than 75% of comparable models.

About Qwen: Qwen3.5-9B

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..

9B Parameters

Capabilities

Tool Use Function Calling Vision

Performance Indices

Source: Artificial Analysis

27.3 Intelligence Index
21.3 Coding Index
51.6 Agentic Index

Benchmark Scores

Intelligence

GPQA Diamond 78.6% Graduate-level scientific reasoning
HLE 8.6% Humanity's Last Exam
SciCode 27.7% Scientific computing

Technical

TerminalBench Hard 18.2% Agentic terminal tasks
τ²-Bench 85.1% Conversational agent benchmark

Content

IFBench 37.8% Instruction following
LCR 38% Long-context reasoning

Benchmark data from Artificial Analysis and Hugging Face

How does Qwen: Qwen3.5-9B stack up?

Compare side-by-side with other professional models.

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Model Information

OpenRouter ID qwen/qwen3.5-9b
Providerqwen
Release Date March 10, 2026
Context Length262,144 tokens
Max Completion81,920 tokens
Status Active

Pricing

Token Type Cost per 1M tokens Cost per 1K tokens
Input $0.04 $0.000040
Output $0.15 $0.000150

Live Performance

Live endpoint metrics, refreshed every 30 minutes.

94.8%
Avg Uptime
263ms
Best Latency (TTFT)
109 tok/s
Best Throughput
4/4
Active Endpoints
Available via: DeepInfra, SiliconFlow, Venice, Together

Leaderboard Categories

Frequently asked questions about Qwen: Qwen3.5-9B

How much does Qwen: Qwen3.5-9B cost?

Qwen: Qwen3.5-9B costs $0.04 per million input tokens and $0.15 per million output tokens.

What is the context window of Qwen: Qwen3.5-9B?

Qwen: Qwen3.5-9B has a context window of 262,144 tokens (262K).

Is Qwen: Qwen3.5-9B good for coding?

On our coding benchmark index, Qwen: Qwen3.5-9B ranks #136 of 307 models, placing it in the broader range of the field for code generation and debugging.

What can Qwen: Qwen3.5-9B do?

Qwen: Qwen3.5-9B supports image/vision input, tool use, and function calling.

Who created Qwen: Qwen3.5-9B?

Qwen: Qwen3.5-9B is developed by Qwen and was released on March 10, 2026.