Context
1.0M tokens (~500 books)
Input $/1M
$0.07
Output $/1M
$0.26
Type
multimodal
License
Open Source
Benchmarks
2 tested
Data updated today
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 2 benchmarks with 0.0% average. Top scores: Chatbot Arena Elo — Overall (1400.6%), Chatbot Arena Elo — Coding (1235.4%).
Benchmark Scores
Compare AllTested on 2 benchmarks · Ranked across 1 categories
Score Distribution (all 233 models)
0255075100
arenaCompare arena →
Chatbot Arena Elo — Overall
1401—Chatbot Arena overall Elo rating. Crowdsourced human preference ranking from blind head-to-head comparisons across all topics.
Chatbot Arena Elo — Coding
1235—Chatbot Arena coding Elo. Human preference ranking specifically for coding tasks and technical questions.
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Recently Happened
Qwen3.5-Flash released by Alibaba Qwen
Mar 3, 2026
Links
Research
Documentation
Community
Source Code
BenchGecko API
qwen3-5-flash-02-23
Specifications
- Typemultimodal
- Context1.0M tokens (~500 books)
- ReleasedFeb 2026
- LicenseOpen Source
- StatusActive
- Cost / Message~$0.000
Available On
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Frequently Asked Questions
Qwen3.5-Flash is an open-source multimodal AI model by Alibaba Qwen, released in February 2026. Context window: 1M tokens.