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Llama 3.2 11B Vision Instruct vs Mixtral 8x22B Instruct

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 Mixtral 8x22B Instruct.

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

Mixtral 8x22B Instruct

Mistral's official instruct fine-tuned version of [Mixtral 8x22B](/models/mistralai/mixtral-8x22b). It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Its strengths include: - strong math, coding,...

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Technical Specifications

SpecificationLlama 3.2 11B Vision InstructMixtral 8x22B Instruct
ProviderMetaMistral
Context Window131,072 tokens65,536 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-09-252024-04-17

API Pricing Comparison

Input Price per Million Tokens

Llama 3.2 11B Vision Instruct

$0.34

Mixtral 8x22B Instruct

$2.00

Output Price per Million Tokens

Llama 3.2 11B Vision Instruct

$0.34

Mixtral 8x22B Instruct

$6.00

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.

Mixtral 8x22B Instruct Quirks & Gotchas

No developer gotchas reported.