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Qwen3 VL 235B A22B Instruct Original

qwen3-vl-235b-a22b-instruct-original
BackTry Model
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Qwen3 VL 235B A22B Instruct Original

qwen3-vl-235b-a22b-instruct-original
BackTry Model

Note: direct via Alibaba, a Chinese entity - privacy and logging guarantees may be limited. Qwen3 Vision‑Language model (235B MoE, ≈22B active) tuned for instruction following and grounded visual QA. Excels at image understanding, dense OCR, charts and diagrams, and multi‑image context. Use this variant when you want concise, direct answers grounded in the visuals.

Added Sep 25, 2025

Context Window

N/A

Max Output

32.8K

Input Price (Auto)

$0.50/1M

Output Price (Auto)

$1.20/1M

Cache Read (Auto)

$0.25/1M

Capabilities

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Intelligence Index

14.4

Better than 42% of models compared

Reasoning

GPQA Diamond

Graduate-level scientific reasoning

71.2%

Better than 52% of models compared

HLE

Humanity's Last Exam

6.6%

Better than 46% of models compared

IFBench

Instruction-following benchmark

42.7%

Better than 45% of models compared

T²-Bench Telecom

Conversational AI agents in dual-control scenarios

35.1%

Better than 44% of models compared

AA-LCR

Long context reasoning evaluation

32.0%

Better than 39% of models compared

Coding

SciCode

Python programming for scientific computing

35.9%

Better than 55% of models compared

Terminal-Bench Hard

Agentic coding and terminal use

6.8%

Better than 37% of models compared

LiveCodeBench

Contamination-free coding benchmark

59.4%

Better than 66% of models compared

Math

AIME 2025

American Invitational Mathematics Examination 2025

70.7%

Better than 65% of models compared

Knowledge

MMLU-Pro

Professional and academic subject knowledge

82.3%

Better than 79% of models compared

Last updated Aug 16, 2026

Artificial Analysis

Providers

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Compare Qwen3 VL 235B A22B Instruct Original with similar models from the same provider or model family.

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Qwen3 Vision‑Language model (235B MoE, ≈22B active) tuned for instruction following and grounded visual QA. Excels at image understanding, dense OCR, charts/diagrams, and multi‑image context.

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The thinking version of Qwen 3 235b A22B 2507, with enhanced reasoning capabilities and step-by-step problem solving.

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Qwen3 Vision‑Language model built on a 235B MoE backbone (≈22B active per token). Strong at OCR, charts/tables, multi‑image reasoning, and complex document understanding. The Thinking variant enables long‑form, chain‑of‑thought style reasoning.

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Based on the new Qwen3‑Next architecture (hybrid attention, highly sparse MoE, training‑stability optimizations, and multi‑token prediction), the Qwen3‑Next‑80B‑A3B‑Instruct model delivers extreme efficiency with only 3B active parameters per pass. It performs comparably to Qwen3‑235B‑A22B‑Instruct‑2507 and shows clear advantages on ultra‑long context tasks (up to 256K tokens).