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Llama 3.2 11B Vision Instruct vs Voxtral Small 24B 2507

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 Instruct and Voxtral Small 24B 2507.

Meta

Llama 3.2 11B Vision Instruct

Llama 3.2 11B Vision is a multimodal model with 11 billion parameters, designed to handle tasks combining visual and textual data. It excels in tasks such as image captioning and...

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Mistral

Voxtral Small 24B 2507

Voxtral Small is an enhancement of Mistral Small 3, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance. It excels at speech transcription, translation and audio understanding. Input audio...

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Technical Specifications

SpecificationLlama 3.2 11B Vision InstructVoxtral Small 24B 2507
ProviderMetaMistral
Context Window131,072 tokens32,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-09-252025-10-30

API Pricing Comparison

Input Price per Million Tokens

Llama 3.2 11B Vision Instruct

$0.34

Voxtral Small 24B 2507

$0.10

Output Price per Million Tokens

Llama 3.2 11B Vision Instruct

$0.34

Voxtral Small 24B 2507

$0.30

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.

Llama 3.2 11B Vision Instruct Quirks & Gotchas

No developer gotchas reported.

Voxtral Small 24B 2507 Quirks & Gotchas

No developer gotchas reported.