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Qwen3.5-Flash

Qwen

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...

Updated 17 min ago · first seen 11 Sept 2026

model_01M294WW4CB02KF2SBHTNG7CMX

Context
1M tokens
T2 · 17 min ago
Released
25 Feb 2026
T2 · 17 min ago

Specification

Release date
25 Feb 2026

Source:OpenRouter public model & pricing listingT2observed 17 min agomedium

Context window
1M tokens

Source:OpenRouter public model & pricing listingT2observed 17 min agomedium

Max output
65.5K tokens

Source:OpenRouter public model & pricing listingT2observed 17 min agomedium

Modalities
image, text, video

Source:OpenRouter public model & pricing listingT2observed 17 min agomedium

Input modalities
image, text, video

Source:OpenRouter public model & pricing listingT2observed 17 min agomedium

Output modalities
text

Source:OpenRouter public model & pricing listingT2observed 17 min agomedium

Tokenizer
Qwen3

Source:OpenRouter public model & pricing listingT2observed 17 min agomedium

Openrouter id
qwen/qwen3.5-flash-02-23

Source:OpenRouter public model & pricing listingT2observed 17 min agomedium

Supported parameters
frequency_penalty, include_reasoning, max_tokens, presence_penalty, reasoning, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_p

Source:OpenRouter public model & pricing listingT2observed 17 min agomedium

Each value shows its source, tier and observation time. Conflicting claims are kept side by side and flagged — never averaged. How AI Atlas records facts →

Provenance

Attributed facts

14

Source tiers

T214

Freshest observation

17 min ago

Conflicts

None