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Qwen3.5 2B

qwen/qwen3.5-2b
BackTry Model
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Qwen3.5 2B

qwen/qwen3.5-2b
BackTry Model

Qwen3.5 2B is a small open-weight multimodal model from Alibaba for efficient reasoning, coding, visual understanding, tool use, and JSON output.

Added Aug 16, 2026

Context Window

262.1K

Max Output

32.8K

Avg output tokens (7d)

33 tokens

1%

Input Price (Auto)

$0.080/1M

Output Price (Auto)

$0.16/1M

Cache Read (Auto)

$0.040/1M

Capabilities

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Intelligence Index

6.2

Better than 16% of models compared

Coding Index

2.4

Better than 1% of models compared

Agentic work

T²-Bench Telecom (legacy)

Legacy fallback · Conversational AI agents in dual-control scenarios

81.6%

Better than 72% of models compared

GDPval-AA v2

Economically valuable tasks (Elo)

-130 Elo

Better than 3% of models compared

Document reasoning

AA-LCR v1.1

Long context reasoning with updated grading

14.0%

Better than 19% of models compared

Reasoning

HLE

Humanity's Last Exam

5.0%

Better than 30% of models compared

IFBench

Instruction-following benchmark

29.1%

Better than 13% of models compared

Coding

Terminal-Bench Hard (legacy)

Legacy fallback · Agentic coding and terminal use

3.8%

Better than 26% of models compared

Legacy benchmarks

GPQA Diamond (legacy)

Graduate-level scientific reasoning

43.8%

Better than 19% of models compared

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

14.0%

Better than 19% of models compared

Last updated Sep 11, 2026

Artificial Analysis

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