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Qwen3.5-9B

by Alibaba Qwen · Released Mar 2026

Open SourceMultimodal
40.0
avg score
Rank #197
Compare
Better than 37% of all models
Context
262K tokens (~131 books)
Input $/1M
$0.10
Output $/1M
$0.15
Type
multimodal
License
Open Source
Benchmarks
19 tested
Data as of
About

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...

Tested on 19 benchmarks · BenchGecko score 40.0. Top scores: Artificial Analysis · tau2-Bench Telecom (85.1%), Artificial Analysis · GPQA Diamond (78.6%), GPQA diamond (72.0%).

Looking for similar performance at lower cost?
Qwen3 30B A3B Instruct 2507 scores 40.1 (100% as good) at $0.05/1M input · 52% cheaper
Capabilities
coding
9.2
#190 globally
math
61.6
#78 globally
knowledge
39.7
#206 globally
general
40.4
#68 globally
speed
34.7
#76 globally
Benchmark Scores
Compare All
Tested on 19 benchmarks · Ranked across 5 categories
Score Distribution (all 312 models)
0255075100
▲ You are here
codingCompare coding →
Terminal Bench

Complex terminal-based engineering tasks. Models must use command-line tools, navigate filesystems, and debug systems through shell interaction.

9.2·
mathCompare math →
OTIS Mock AIME 2024-2025

Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.

61.6·
knowledgeCompare knowledge →
GPQA diamond

Graduate-level science questions written by PhD experts. Diamond subset contains questions where experts disagree, testing deep understanding.

72.0·
Chess Puzzles

Tactical chess puzzles testing pattern recognition and multi-move calculation. Measures strategic reasoning ability.

7.4·
Quick compare:Alibaba Qwen logovs Qwen3 30B A3B Instruct 2507Anthropic logovs Claude 3.5 Sonnetbaidu logovs ERNIE 4.5 21B A3B Thinking
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Model Family · Alibaba Qwen Qwen 3.5
Feb 2026
69.7
$0.55/M in262Kctx29 benchmarks
Feb 2026
$0.26/M in(-0.29)1.0Mctx(+738K)
Apr 2026
$0.30/M in(+0.04)1.0Mctx
Feb 2026
$0.26/M in(-0.04)262Kctx(-738K)15 benchmarks
Feb 2026
$0.20/M in(-0.07)262Kctx5 benchmarks
Feb 2026
53.5-16.2
$0.15/M in(-0.05)262Kctx10 benchmarks
Mar 2026
40.0-13.5
$0.10/M in(-0.05)262Kctx19 benchmarks
Mar 2026
$0.17/M in(+0.07)262Kctx
Feb 2026
36.5-3.5
$0.07/M in(-0.11)1.0Mctx(+738K)12 benchmarks
See the full Qwen 3.5 family →
Recently Happened
Qwen3.5-9B pricing increased 100%
Apr 18, 2026
Similar Models
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Qwen3 30B A3B Instruct 2507
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40.1$0.05/1M
Anthropic logo
Claude 3.5 Sonnet
Anthropic
39.8n/a
baidu logo
ERNIE 4.5 21B A3B Thinking
baidu
39.8$0.07/1M
Links
Info
Alibaba QwenPricing explorerDevelopers · API
Research
Technical Report
Documentation
API DocsPlayground
Community
@Alibaba Qwen
Source Code
GitHubHugging Face
BenchGecko API
qwen3-5-9b
Specifications
  • Typemultimodal
  • Context262K tokens (~131 books)
  • ReleasedMar 2026
  • LicenseOpen Source
  • StatusActive
  • Cost / Message~$0.000
Available On
Alibaba Qwen logoAlibaba Qwen$0.10
Categories
codingmathknowledgegeneralspeed
Learn More
context-windowtransformeropen weightstokens
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Related Models
Alibaba Qwen logoQwen3 30B A3B Instruct 2507
40.1
Anthropic logoClaude 3.5 Sonnet
39.8
baidu logoERNIE 4.5 21B A3B Thinking
39.8
OpenAI logoGPT-4o (2024-08-06)
39.6
Qwen3.5-9B is an open-source multimodal AI model by Alibaba Qwen, released in March 2026. It has an average benchmark score of 40.0. Context window: 262K tokens.

Related Models

Qwen3 30B A3B Instruct 2507 · Alibaba QwenClaude 3.5 Sonnet · AnthropicERNIE 4.5 21B A3B Thinking · baiduGPT-4o (2024-08-06) · OpenAIYi 6B · Unknown

Benchmarks

Artificial Analysis · tau2-Bench TelecomArtificial Analysis · GPQA DiamondGPQA diamondArtificial Analysis · MMMU ProOTIS Mock AIME 2024-2025

Related Pages

Alibaba Qwen · ProviderAlibaba Qwen · EconomyAll ModelsCompare ModelsPricingDevelopers · APIContext Window · Glossary

Key facts · as of 2026-10-05

  • Qwen3.5-9B by Alibaba Qwen. BenchGecko score 40.0, rank 197 of 312 scored models (normalized average of public benchmark scores).
  • List price $0.10 input · $0.15 output per 1M tokens (as of 2026-10-05).
  • Sold by 6 providers (as of 2026-10-05): Darkbloom (fp4) $0.0800 in / $0.13 out · DeepInfra (bf16) $0.10 in / $0.15 out · Parasail (bf16) $0.10 in / $0.25 out · SiliconFlow (fp8) $0.10 in / $0.15 out · Venice (fp8) $0.10 in / $0.15 out · and 1 more. Every provider

How to cite · data as of 2026-10-05

Qwen3.5-9B · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/qwen3-5-9b

Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP