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Llama 3.2 11B Vision Instruct 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 Instruct and Qwen3 30B A3B Thinking 2507.

Meta

Llama 3.2 11B Vision Instruct

Llama 3.2 11B Vision is a multimodal model with 11 billion parameters, designed to handle tasks combining visual and textual data. It excels in tasks such as image captioning and...

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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 Vision InstructQwen3 30B A3B Thinking 2507
ProviderMetaAlibaba
Context Window131,072 tokens131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/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 Instruct

$0.34

Qwen3 30B A3B Thinking 2507

$0.13

Output Price per Million Tokens

Llama 3.2 11B Vision Instruct

$0.34

Qwen3 30B A3B Thinking 2507

$1.56

Want to test both models live?

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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.

Llama 3.2 11B Vision Instruct Quirks & Gotchas

No developer gotchas reported.

Qwen3 30B A3B Thinking 2507 Quirks & Gotchas

No developer gotchas reported.