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Llama 3.2 11B Vision vs Qwen3 235B A22B

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Llama 3.2 11B Vision and Qwen3 235B A22B.

Meta

Llama 3.2 11B Vision

Meta's lightweight open weights vision model, optimized for mobile devices and local deployments. Capable of visual understanding, chart reading, and fast text generation.

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Alibaba

Qwen3 235B A22B

Qwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass. It supports seamless switching between a "thinking" mode for complex reasoning, math, and...

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Technical Specifications

SpecificationLlama 3.2 11B VisionQwen3 235B A22B
ProviderMetaAlibaba
Context Window131,072 tokens131,072 tokens
Agent Suitability72/100N/A
Time to First Token (TTFT)150 msN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-09-252025-04-28

API Pricing Comparison

Input Price per Million Tokens

Llama 3.2 11B Vision

$0.34

Qwen3 235B A22B

$0.46

Output Price per Million Tokens

Llama 3.2 11B Vision

$0.34

Qwen3 235B A22B

$1.82

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Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
7300.0%vsN/A
Llama 3.2 11B Vision
Qwen3 235B A22B
HumanEvalPython coding & logic synthesis
7500.0%vsN/A
Llama 3.2 11B Vision
Qwen3 235B A22B
MATHComplex mathematical problem solving
5800.0%vsN/A
Llama 3.2 11B Vision
Qwen3 235B A22B
GPQAGraduate-level expert reasoning
3800.0%vsN/A
Llama 3.2 11B Vision
Qwen3 235B A22B
HellaSwagCommonsense reasoning and inference
8200.0%vsN/A
Llama 3.2 11B Vision
Qwen3 235B A22B
MT-BenchMulti-turn conversation flow quality
790.0%vsN/A
Llama 3.2 11B Vision
Qwen3 235B A22B

Llama 3.2 11B Vision Quirks & Gotchas

  • โ–ธLightweight vision model for edge/on-device deployments
  • โ–ธLimited tool calling โ€” use Llama 4 for production agentic tasks

Qwen3 235B A22B Quirks & Gotchas

No developer gotchas reported.