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Llama 3.2 11B Vision vs Qwen 2.5-Coder 32B

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 2.5-Coder 32B.

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 2.5-Coder 32B

Qwen 2.5-Coder 32B is Alibaba's specialized code generation model built on the Qwen 2.5 architecture, fine-tuned on a massive corpus of code repositories, technical documentation, and programming discussions. It achieves competitive results against GPT-4o and Claude Sonnet on coding benchmarks like HumanEval, MBPP, and LiveCodeBench while supporting a broad range of programming languages from Python and JavaScript to Rust and Go. Its 128K context window enables whole-repository analysis and complex multi-file refactoring tasks.

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Technical Specifications

SpecificationLlama 3.2 11B VisionQwen 2.5-Coder 32B
ProviderMetaAlibaba
Context Window131,072 tokens131,072 tokens
Agent Suitability72/10089/100
Time to First Token (TTFT)150 ms260 ms
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-09-252025-11-12

API Pricing Comparison

Input Price per Million Tokens

Llama 3.2 11B Vision

$0.34

Qwen 2.5-Coder 32B

$0.35

Output Price per Million Tokens

Llama 3.2 11B Vision

$0.34

Qwen 2.5-Coder 32B

$0.70

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.

MMLUGeneral knowledge & multi-task understanding
7300.0%vsN/A
Llama 3.2 11B Vision
Qwen 2.5-Coder 32B
HumanEvalPython coding & logic synthesis
7500.0%vsN/A
Llama 3.2 11B Vision
Qwen 2.5-Coder 32B
MATHComplex mathematical problem solving
5800.0%vsN/A
Llama 3.2 11B Vision
Qwen 2.5-Coder 32B
GPQAGraduate-level expert reasoning
3800.0%vsN/A
Llama 3.2 11B Vision
Qwen 2.5-Coder 32B
HellaSwagCommonsense reasoning and inference
8200.0%vsN/A
Llama 3.2 11B Vision
Qwen 2.5-Coder 32B
MT-BenchMulti-turn conversation flow quality
790.0%vsN/A
Llama 3.2 11B Vision
Qwen 2.5-Coder 32B

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 2.5-Coder 32B Quirks & Gotchas

  • โ–ธStrong code generation across 40+ languages โ€” excellent for multi-language repos
  • โ–ธAvailable via Alibaba Cloud API or self-hosted