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GPT-5 Mini vs Llama 3.2 11B Vision

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 GPT-5 Mini and Llama 3.2 11B Vision.

OpenAI

GPT-5 Mini

GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....

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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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Technical Specifications

SpecificationGPT-5 MiniLlama 3.2 11B Vision
ProviderOpenAIMeta
Context Window400,000 tokens131,072 tokens
Agent Suitability85/10072/100
Time to First Token (TTFT)180 ms150 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-08-072024-09-25

API Pricing Comparison

Input Price per Million Tokens

GPT-5 Mini

$0.25

Llama 3.2 11B Vision

$0.34

Output Price per Million Tokens

GPT-5 Mini

$2.00

Llama 3.2 11B Vision

$0.34

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
8650.0%vs7300.0%
GPT-5 Mini
Llama 3.2 11B Vision
HumanEvalPython coding & logic synthesis
8800.0%vs7500.0%
GPT-5 Mini
Llama 3.2 11B Vision
MATHComplex mathematical problem solving
8250.0%vs5800.0%
GPT-5 Mini
Llama 3.2 11B Vision
GPQAGraduate-level expert reasoning
6800.0%vs3800.0%
GPT-5 Mini
Llama 3.2 11B Vision
HellaSwagCommonsense reasoning and inference
9550.0%vs8200.0%
GPT-5 Mini
Llama 3.2 11B Vision
MT-BenchMulti-turn conversation flow quality
900.0%vs790.0%
GPT-5 Mini
Llama 3.2 11B Vision

GPT-5 Mini Quirks & Gotchas

  • โ–ธExcellent for high-frequency classification and routing tasks
  • โ–ธTool calling reliability drops on complex multi-step chains โ€” use GPT-5 for agentic workflows

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