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 Llama 3.2 3B Instruct?

Qwen3.5-Flash has an average score of 35.3 while Llama 3.2 3B Instruct scores 35.4. Llama 3.2 3B Instruct slightly outperforms Qwen3.5-Flash overall. Qwen3.5-Flash costs $0.07/1M input vs Llama 3.2 3B Instruct at $0.05/1M input. 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

35.3

avg score

Rank #230

Compare

Better than 28% 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 2026-10-16

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 35.3. Top scores: Chatbot Arena Elo — Overall (1395.9%), Chatbot Arena Elo — Coding (1243.1%), OTIS Mock AIME 2024-2025 (84.4%).

Looking for similar performance at lower cost?
Gemma 3 27B (free) scores 35.1 (99% as good) at $0.00/1M input · 100% cheaper

Capabilities

math

27.2

#212 globally

knowledge

35.4

#233 globally

general

39.2

#77 globally

Benchmark Scores

Compare All

Tested on 12 benchmarks · Ranked across 4 categories

Score Distribution (all 319 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 Problems are unpublished and cannot be memorized.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.

9.5·

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 Llama 3.2 3B Instruct

vs Mistral Nemo

vs Mistral Large 2407

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

Model Family · Alibaba Qwen Qwen 3.5

Qwen3.5 397B A17BFeb 2026

69.4

$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

53.3-16.1

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

Qwen3.5-9BMar 2026

39.8-13.5

$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

35.3-4.5

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

See the full Qwen 3.5 family →

Similar Models

Llama 3.2 3B Instruct

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 35.3. 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 2026-10-16

Qwen3.5-Flash by Alibaba Qwen. BenchGecko score 35.3, rank 230 of 319 scored models (normalized average of public benchmark scores).
List price $0.0650 input · $0.26 output per 1M tokens (as of 2026-10-16).
Sold by 1 provider (as of 2026-10-16): Alibaba $0.0650 in / $0.26 out.

How to cite · data as of 2026-10-16

Qwen3.5-Flash · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-16. 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 2026-10-16

How to cite · data as of 2026-10-16