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Grok 4.20 Multi-Agent 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 Grok 4.20 Multi-Agent and Llama 3.2 11B Vision.

xAI

Grok 4.20 Multi-Agent

Grok 4.20 Multi-Agent is a variant of xAIโ€™s Grok 4.20 designed for collaborative, agent-based workflows. Multiple agents operate in parallel to conduct deep research, coordinate tool use, and synthesize information...

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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

SpecificationGrok 4.20 Multi-AgentLlama 3.2 11B Vision
ProviderxAIMeta
Context Window2,000,000 tokens131,072 tokens
Agent SuitabilityN/A72/100
Time to First Token (TTFT)N/A150 ms
Deployment Modelmanaged apiself hostable
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-03-312024-09-25

API Pricing Comparison

Input Price per Million Tokens

Grok 4.20 Multi-Agent

$1.25

Llama 3.2 11B Vision

$0.34

Output Price per Million Tokens

Grok 4.20 Multi-Agent

$2.50

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
N/Avs7300.0%
Grok 4.20 Multi-Agent
Llama 3.2 11B Vision
HumanEvalPython coding & logic synthesis
N/Avs7500.0%
Grok 4.20 Multi-Agent
Llama 3.2 11B Vision
MATHComplex mathematical problem solving
N/Avs5800.0%
Grok 4.20 Multi-Agent
Llama 3.2 11B Vision
GPQAGraduate-level expert reasoning
N/Avs3800.0%
Grok 4.20 Multi-Agent
Llama 3.2 11B Vision
HellaSwagCommonsense reasoning and inference
N/Avs8200.0%
Grok 4.20 Multi-Agent
Llama 3.2 11B Vision
MT-BenchMulti-turn conversation flow quality
N/Avs790.0%
Grok 4.20 Multi-Agent
Llama 3.2 11B Vision

Grok 4.20 Multi-Agent Quirks & Gotchas

No developer gotchas reported.

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