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Llama 3.2 11B Vision vs Mistral Small 3.1 24B

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 Mistral Small 3.1 24B.

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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Mistral

Mistral Small 3.1 24B

Mistral Small 3.1 24B Instruct is an upgraded variant of Mistral Small 3 (2501), featuring 24 billion parameters with advanced multimodal capabilities. It provides state-of-the-art performance in text-based reasoning and...

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Technical Specifications

SpecificationLlama 3.2 11B VisionMistral Small 3.1 24B
ProviderMetaMistral
Context Window131,072 tokens128,000 tokens
Agent Suitability72/100N/A
Time to First Token (TTFT)150 msN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-09-252025-03-17

API Pricing Comparison

Input Price per Million Tokens

Llama 3.2 11B Vision

$0.34

Mistral Small 3.1 24B

$0.35

Output Price per Million Tokens

Llama 3.2 11B Vision

$0.34

Mistral Small 3.1 24B

$0.56

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
Mistral Small 3.1 24B
HumanEvalPython coding & logic synthesis
7500.0%vsN/A
Llama 3.2 11B Vision
Mistral Small 3.1 24B
MATHComplex mathematical problem solving
5800.0%vsN/A
Llama 3.2 11B Vision
Mistral Small 3.1 24B
GPQAGraduate-level expert reasoning
3800.0%vsN/A
Llama 3.2 11B Vision
Mistral Small 3.1 24B
HellaSwagCommonsense reasoning and inference
8200.0%vsN/A
Llama 3.2 11B Vision
Mistral Small 3.1 24B
MT-BenchMulti-turn conversation flow quality
790.0%vsN/A
Llama 3.2 11B Vision
Mistral Small 3.1 24B

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

Mistral Small 3.1 24B Quirks & Gotchas

No developer gotchas reported.