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Qwen3.5 35B A3B vs Qwen3.7 Plus

Compare Qwen3.5 35B A3B and Qwen3.7 Plus side-by-side. See how these vision models stack up in Image Captioning, OCR, and Open Prompt.

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QwenQwen3.5 35B A3B
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QwenQwen3.7 Plus
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Qwen3.5 35B A3B vs Qwen3.7 Plus Comparison Table

Evals updated August 20, 2026Pricing updated August 24, 2026

PropertyQwen3.5 35B A3BQwen3.7 Plus
OrganizationQwenQwen
Categoryopenclosed
Modalitymultimodal
Release DateFeb 2026
Context Window262K
Parameters35B
LicenseApache 2.0
Pricing per 1M tokens
Input $/1M$0.250$0.320
Output $/1M$1.25$1.28
Vision Tasks
CaptioningDemoDemo
ClassificationDemo
Object DetectionDemo
OCRDemoDemo
Visual Question AnsweringDemoDemo
Chart Question Answering
Document Question Answering
Image Tagging
Multi-Label Classification
Vision Language
Model Features
Foundation Vision
LLMs with Vision Capabilities
Multimodal Vision
Vision Evalsground-truth scores across 6 vision tasks, pooled at low effort
OverallNot evaluated
67.4%
Avg cost / sample$0.0008
Avg speed / sample7.01s
By task
Object Detection
60.1%
$0.0013
Counting
50.0%
$0.0004
Identification
84.4%
$0.0003
OCR
86.5%
$0.0009
Data Extraction
83.5%
$0.0004
Reasoning (low)
39.7%
$0.0003
Reasoning (high)
68.2%
$0.0043

Qwen3.5 35B A3B vs Qwen3.7 Plus: Overview

Qwen3.5 35B A3B

The Qwen3.5-35B-A3B is a native vision-language model developed by Alibaba Cloud’s Qwen team, released on February 24, 2026, as a high-efficiency entry in the Qwen 3.5 family. It utilizes a sophisticated hybrid architecture that integrates Gated Delta Networks with a sparse Mixture-of-Experts (MoE) system. While the model houses 35 billion total parameters, its routing mechanism activates only 8 routed experts and 1 shared expert per token, totaling approximately 3 billion active parameters. This design achieves cross-generational parity with the previous flagship Qwen3-235B dense model, delivering comparable reasoning and multimodal intelligence with significantly reduced inference latency and compute requirements. Available under the Apache 2.0 license, it is released in both base and instruction-tuned variants for seamless integration with open-source stacks like vLLM and Hugging Face Transformers.

Designed for the emerging era of agentic AI, the model utilizes a unified multimodal foundation built through early-fusion training. This approach allows it to outperform the prior Qwen3-VL series in spatial grounding, document analysis, and UI/GUI interaction. It features a native context window of 262,144 tokens, which is extensible up to 1,010,000 tokensvia RoPE scaling, and provides global support for 201 languages and dialects. This combination of a compact active parameter count and frontier-level visual comprehension makes it a versatile tool for developers requiring a balance of high-throughput speed and sophisticated visual reasoning for long-context workflows.

Qwen3.7 Plus
No description available

Frequently Asked Questions

Qwen3.5 35B A3B has not yet been evaluated on Roboflow's current Vision Evals, so this comparison shows specs, licensing, and pricing rather than benchmark scores.

Yes. The comparison demo on this page runs both models on the same image side by side for image captioning and OCR in the free Roboflow Playground. You can try it instantly, and a free account unlocks unlimited runs.