How much does Qwen3.5-Flash cost?

Qwen3.5-Flash costs $0.07 per million input tokens and $0.26 per million output tokens. For a typical conversation (~2,000 tokens), that's approximately $0.000 per message.

Is Qwen3.5-Flash open source?

Yes, Qwen3.5-Flash is open source.

How does Qwen3.5-Flash compare to DeepSeek R1 Distill Qwen 7B?

Qwen3.5-Flash has an average score of 36.5 while DeepSeek R1 Distill Qwen 7B scores 36.6. DeepSeek R1 Distill Qwen 7B slightly outperforms Qwen3.5-Flash overall. See full comparison →

Home/Models/Qwen3.5-Flash

Qwen3.5-Flash

Name: Qwen3.5-Flash · benchmarks, pricing and providers
Creator: BenchGecko

by Alibaba Qwen · Released Feb 2026

Open SourceMultimodal1M Context

36.5

avg score

Rank #213

Compare

Better than 32% of all models

Context

1.0M tokens (~500 books)

Input $/1M

$0.07

Output $/1M

$0.26

Type

multimodal

License

Open Source

Benchmarks

12 tested

Data as of 2026-10-05

About

The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...

Tested on 12 benchmarks · BenchGecko score 36.5. Top scores: Chatbot Arena Elo — Overall (1395.9%), Chatbot Arena Elo — Coding (1243.1%), OTIS Mock AIME 2024-2025 (84.4%).

Capabilities

math

27.2

#204 globally

knowledge

37.9

#211 globally

general

39.2

#71 globally

Benchmark Scores

Compare All

Tested on 12 benchmarks · Ranked across 4 categories

Score Distribution (all 312 models)

0255075100

▲ You are here

mathCompare math →

OTIS Mock AIME 2024-2025

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

84.4·

FrontierMath-Tiers-1-3-v2-Private

18.3·

FrontierMath-2025-02-28-Private

Original research-level math problems created by professional mathematicians. Problems are unpublished and cannot be memorized.

6.2·

knowledgeCompare knowledge →

GPQA diamond

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

76.4·

SimpleQA Verified

Simple factual questions with verified correct answers. Tests accuracy of basic knowledge retrieval. Low scores indicate hallucination.

20.3·

Chess Puzzles

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

16.9·

arenaCompare arena →

Chatbot Arena Elo — Overall

Chatbot Arena overall Elo rating. Crowdsourced human preference ranking from blind head-to-head comparisons across all topics.

1396·

Chatbot Arena Elo — Coding

Chatbot Arena coding Elo. Human preference ranking specifically for coding tasks and technical questions.

1243·

Quick compare:

vs DeepSeek R1 Distill Qwen 7B

vs Llama 2-13B

vs Qwen3 8B

Excellent (85+) Good (70-85) Average (50-70) Below (<50)

Model Family · Alibaba Qwen Qwen 3.5

Qwen3.5 397B A17BFeb 2026

69.7

$0.55/M in262Kctx29 benchmarks

Qwen3.5 Plus 2026-02-15Feb 2026

$0.26/M in(-0.29)1.0Mctx(+738K)

Qwen3.5 Plus 2026-04-20Apr 2026

$0.30/M in(+0.04)1.0Mctx

Qwen3.5-122B-A10BFeb 2026

$0.26/M in(-0.04)262Kctx(-738K)15 benchmarks

Qwen3.5-27BFeb 2026

$0.20/M in(-0.07)262Kctx5 benchmarks

Qwen3.5-35B-A3BFeb 2026

53.5-16.2

$0.15/M in(-0.05)262Kctx10 benchmarks

Qwen3.5-9BMar 2026

40.0-13.5

$0.10/M in(-0.05)262Kctx19 benchmarks

Qwen3.5-9B (batch)Mar 2026

$0.17/M in(+0.07)262Kctx

Qwen3.5-FlashFeb 2026

36.5-3.5

$0.07/M in(-0.11)1.0Mctx(+738K)12 benchmarks

See the full Qwen 3.5 family →

Similar Models

DeepSeek R1 Distill Qwen 7B

DeepSeek

36.6n/a

Llama 2-13B

Frequently Asked Questions

Qwen3.5-Flash is an open-source multimodal AI model by Alibaba Qwen, released in February 2026. It has an average benchmark score of 36.5. Context window: 1M tokens.

Benchmarks

Chatbot Arena Elo — Overall Chatbot Arena Elo — Coding OTIS Mock AIME 2024-2025 GPQA diamond Dtbench

Alibaba Qwen · Provider Alibaba Qwen · Economy All Models Compare Models Pricing Developers · API Context Window · Glossary

Key facts · as of 2026-10-05

Qwen3.5-Flash by Alibaba Qwen. BenchGecko score 36.5, rank 213 of 312 scored models (normalized average of public benchmark scores).
List price $0.0650 input · $0.26 output per 1M tokens (as of 2026-10-05).
Sold by 1 provider (as of 2026-10-05): Alibaba $0.0650 in / $0.26 out.

How to cite · data as of 2026-10-05

Qwen3.5-Flash · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/qwen3-5-flash-02-23

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

Qwen3.5-Flash

Frequently Asked Questions

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Key facts · as of 2026-10-05

How to cite · data as of 2026-10-05