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Llama 3.2 11B Vision vs Qwen-Plus

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 Qwen-Plus.

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

Qwen-Plus

Qwen-Plus, based on the Qwen2.5 foundation model, is a 131K context model with a balanced performance, speed, and cost combination.

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Technical Specifications

SpecificationLlama 3.2 11B VisionQwen-Plus
ProviderMetaAlibaba
Context Window131,072 tokens1,000,000 tokens
Agent Suitability72/100N/A
Time to First Token (TTFT)150 msN/A
Deployment Modelself hostableself hostable
Production Stabilitystablebeta
API AvailableYesYes
Released Date2024-09-252025-02-01

API Pricing Comparison

Input Price per Million Tokens

Llama 3.2 11B Vision

$0.34

Qwen-Plus

$0.26

Output Price per Million Tokens

Llama 3.2 11B Vision

$0.34

Qwen-Plus

$0.78

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

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%vs8100.0%
Llama 3.2 11B Vision
Qwen-Plus
HumanEvalPython coding & logic synthesis
7500.0%vs8250.0%
Llama 3.2 11B Vision
Qwen-Plus
MATHComplex mathematical problem solving
5800.0%vs5500.0%
Llama 3.2 11B Vision
Qwen-Plus
GPQAGraduate-level expert reasoning
3800.0%vs3700.0%
Llama 3.2 11B Vision
Qwen-Plus
HellaSwagCommonsense reasoning and inference
8200.0%vs8300.0%
Llama 3.2 11B Vision
Qwen-Plus
MT-BenchMulti-turn conversation flow quality
790.0%vs865.0%
Llama 3.2 11B Vision
Qwen-Plus

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

Qwen-Plus Quirks & Gotchas

No developer gotchas reported.