Qwen3.5-Flash API Benchmarks, Pricing & Provider Data

LLM

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 effic...

Specifications

Input and output token limits for this model, plus how it ranks on long-context understanding.

INPUT

1Mtokens

≈ 1.2K pages of text

OUTPUT

65.5Ktokens

8K128K1M4M

Features

Technical Details

Input
Output
Released: Feb 2026
Documentation
Tokenizer: Qwen3
Architecture: text+image+video->text
Moderated: No
Supported parameters: frequency_penaltyinclude_reasoningmax_tokenspresence_penaltyreasoningresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_p

OpenRouter endpoints

1 endpoints

Third-party OpenRouter endpoint data, shown separately from LMSpeed measurements. Some 30-minute live performance fields only appear after syncing with an OpenRouter API key.

Provider endpoint	Input	Output	1d uptime	30m latency	30m throughput	Context / output
Alibaba alibaba	$0.065/M	$0.260/M	100.0%	—	—	undefined tokens / undefined tokens