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Llama 3.2 11B Vision vs Qwen3 30B A3B Thinking 2507

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 30B A3B Thinking 2507.

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 30B A3B Thinking 2507

Qwen3-30B-A3B-Thinking-2507 is a 30B parameter Mixture-of-Experts reasoning model optimized for complex tasks requiring extended multi-step thinking. The model is designed specifically for “thinking mode,” where internal reasoning traces are separated...

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Technical Specifications

SpecificationLlama 3.2 11B VisionQwen3 30B A3B Thinking 2507
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 Date2024-09-252025-08-28

API Pricing Comparison

Input Price per Million Tokens

Llama 3.2 11B Vision

$0.34

Qwen3 30B A3B Thinking 2507

$0.13

Output Price per Million Tokens

Llama 3.2 11B Vision

$0.34

Qwen3 30B A3B Thinking 2507

$1.56

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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 30B A3B Thinking 2507
HumanEvalPython coding & logic synthesis
7500.0%vsN/A
Llama 3.2 11B Vision
Qwen3 30B A3B Thinking 2507
MATHComplex mathematical problem solving
5800.0%vsN/A
Llama 3.2 11B Vision
Qwen3 30B A3B Thinking 2507
GPQAGraduate-level expert reasoning
3800.0%vsN/A
Llama 3.2 11B Vision
Qwen3 30B A3B Thinking 2507
HellaSwagCommonsense reasoning and inference
8200.0%vsN/A
Llama 3.2 11B Vision
Qwen3 30B A3B Thinking 2507
MT-BenchMulti-turn conversation flow quality
790.0%vsN/A
Llama 3.2 11B Vision
Qwen3 30B A3B Thinking 2507

Llama 3.2 11B Vision Quirks & Gotchas

  • Lightweight vision model for edge/on-device deployments
  • Limited tool calling — use Llama 4 for production agentic tasks

Qwen3 30B A3B Thinking 2507 Quirks & Gotchas

No developer gotchas reported.