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Qwen3.6 Flash

by Alibaba Qwen · Released Apr 2026

Open SourceMultimodal1M Context
46.6
avg score
Rank #166
Compare
Better than 47% of all models
Context
1.0M tokens (~500 books)
Input $/1M
$0.19
Output $/1M
$1.13
Type
multimodal
License
Open Source
Benchmarks
19 tested
Data as of
About

Qwen3.6 Flash is a fast, efficient language model from Alibaba's Qwen 3.6 series. It supports text, image, and video input with a 1M token context window. Tiered pricing kicks in...

Tested on 19 benchmarks · BenchGecko score 46.6. Top scores: OTIS Mock AIME 2024-2025 (84.4%), LiveBench — Mathematics (78.9%), GPQA diamond (77.8%).

Looking for similar performance at lower cost?
gpt-oss-120b scores 46.7 (100% as good) at $0.04/1M input · 80% cheaper
Capabilities
coding
55.8
#66 globally
reasoning
48.0
#83 globally
math
39.2
#157 globally
knowledge
42.5
#183 globally
language
55.2
#118 globally
general
36.0
#90 globally
Benchmark Scores
Compare All
Tested on 19 benchmarks · Ranked across 6 categories
Score Distribution (all 312 models)
0255075100
▲ You are here
codingCompare coding →
LiveBench — Coding

Regularly refreshed coding problems that avoid data contamination. New problems added monthly to prevent memorization.

64.9·
LiveBench — Agentic Coding

LiveBench coding tasks that require multi-step reasoning and tool use. Tests planning and execution of complex coding workflows.

46.7·
reasoningCompare reasoning →
LiveBench — Reasoning

Regularly refreshed reasoning problems testing logical deduction, spatial reasoning, and analytical thinking.

62.9·
LiveBench — Data Analysis

Fresh data analysis tasks testing ability to interpret tables, charts, and statistical data.

58.8·
SimpleBench

Deceptively simple questions that humans find easy but AI models often get wrong. Tests common sense and reasoning gaps.

22.2·
mathCompare math →
OTIS Mock AIME 2024-2025

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

84.4·
LiveBench — Mathematics

Regularly updated math problems that test numerical reasoning, algebra, calculus, and combinatorics.

78.9·
FrontierMath-Tiers-1-3-v2-Private
22.5·
Quick compare:z-ai logovs GLM 5V TurboOpenAI logovs gpt-oss-120bOpenAI logovs o1
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Model Family · Alibaba Qwen Qwen 3.6
Apr 2026
62.2
$0.32/M in262Kctx18 benchmarks
Apr 2026
42.6-19.6
$0.15/M in(-0.17)262Kctx23 benchmarks
Apr 2026
46.6+4.0
$0.19/M in(+0.04)1.0Mctx(+738K)19 benchmarks
Apr 2026
58.4+11.8
$1.03/M in(+0.84)262Kctx(-738K)13 benchmarks
Apr 2026
62.8+4.4
$0.33/M in(-0.70)1.0Mctx(+738K)25 benchmarks
Apr 2026
$0.00/M in(-0.33)1.0Mctx
Mar 2026
$0.00/M in1.0Mctx
See the full Qwen 3.6 family →
Recently Happened
Qwen3.6 Flash added
Apr 27, 2026
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Links
Info
Alibaba QwenPricing explorerDevelopers · API
Research
Technical Report
Documentation
API DocsPlayground
Community
@Alibaba Qwen
Source Code
GitHubHugging Face
BenchGecko API
qwen3-6-flash
Specifications
  • Typemultimodal
  • Context1.0M tokens (~500 books)
  • ReleasedApr 2026
  • LicenseOpen Source
  • StatusActive
  • Cost / Message~$0.002
Available On
Alibaba Qwen logoAlibaba Qwen$0.19
Categories
codingreasoningmathknowledgelanguagegeneral
Learn More
context-windowtransformeropen weightstokens
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Related Models
z-ai logoGLM 5V Turbo
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Google DeepMind logoGemini 3.1 Flash Lite
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Qwen3.6 Flash is an open-source multimodal AI model by Alibaba Qwen, released in April 2026. It has an average benchmark score of 46.6. Context window: 1M tokens.

Related Models

GLM 5V Turbo · z-aigpt-oss-120b · OpenAIo1 · OpenAIGemini 3.1 Flash Lite · Google DeepMindR1 · DeepSeek

Benchmarks

OTIS Mock AIME 2024-2025LiveBench — MathematicsGPQA diamondLiveBench — CodingLiveBench — Language

Related Pages

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

Key facts · as of 2026-10-05

  • Qwen3.6 Flash by Alibaba Qwen. BenchGecko score 46.6, rank 165 of 312 scored models (normalized average of public benchmark scores).
  • List price $0.19 input · $1.13 output per 1M tokens (as of 2026-10-05).
  • Sold by 1 provider (as of 2026-10-05): Alibaba $0.19 in / $1.13 out.

How to cite · data as of 2026-10-05

Qwen3.6 Flash · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/qwen3-6-flash

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