โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Llama 3.2 11B Vision vs Ministral 3 14B 2512

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 Ministral 3 14B 2512.

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.

View Full Specs
Mistral

Ministral 3 14B 2512

The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and efficient language...

View Full Specs

Technical Specifications

SpecificationLlama 3.2 11B VisionMinistral 3 14B 2512
ProviderMetaMistral
Context Window131,072 tokens262,144 tokens
Agent Suitability72/100N/A
Time to First Token (TTFT)150 msN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-09-252025-12-02

API Pricing Comparison

Input Price per Million Tokens

Llama 3.2 11B Vision

$0.34

Ministral 3 14B 2512

$0.20

Output Price per Million Tokens

Llama 3.2 11B Vision

$0.34

Ministral 3 14B 2512

$0.20

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%vsN/A
Llama 3.2 11B Vision
Ministral 3 14B 2512
HumanEvalPython coding & logic synthesis
7500.0%vsN/A
Llama 3.2 11B Vision
Ministral 3 14B 2512
MATHComplex mathematical problem solving
5800.0%vsN/A
Llama 3.2 11B Vision
Ministral 3 14B 2512
GPQAGraduate-level expert reasoning
3800.0%vsN/A
Llama 3.2 11B Vision
Ministral 3 14B 2512
HellaSwagCommonsense reasoning and inference
8200.0%vsN/A
Llama 3.2 11B Vision
Ministral 3 14B 2512
MT-BenchMulti-turn conversation flow quality
790.0%vsN/A
Llama 3.2 11B Vision
Ministral 3 14B 2512

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

Ministral 3 14B 2512 Quirks & Gotchas

No developer gotchas reported.