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Claude Sonnet 4 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 Claude Sonnet 4 and Llama 3.2 11B Vision.

Anthropic

Claude Sonnet 4

Claude Sonnet 4 significantly enhances the capabilities of its predecessor, Sonnet 3.7, excelling in both coding and reasoning tasks with improved precision and controllability. Achieving state-of-the-art performance on SWE-bench (72.7%),...

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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

SpecificationClaude Sonnet 4Llama 3.2 11B Vision
ProviderAnthropicMeta
Context Window1,000,000 tokens131,072 tokens
Agent SuitabilityN/A72/100
Time to First Token (TTFT)N/A150 ms
Deployment Modelmanaged apiself hostable
Production Stabilitybetastable
API AvailableYesYes
Released Date2025-05-222024-09-25

API Pricing Comparison

Input Price per Million Tokens

Claude Sonnet 4

$3.00

Llama 3.2 11B Vision

$0.34

Output Price per Million Tokens

Claude Sonnet 4

$15.00

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
8800.0%vs7300.0%
Claude Sonnet 4
Llama 3.2 11B Vision
HumanEvalPython coding & logic synthesis
9150.0%vs7500.0%
Claude Sonnet 4
Llama 3.2 11B Vision
MATHComplex mathematical problem solving
7880.0%vs5800.0%
Claude Sonnet 4
Llama 3.2 11B Vision
GPQAGraduate-level expert reasoning
6050.0%vs3800.0%
Claude Sonnet 4
Llama 3.2 11B Vision
HellaSwagCommonsense reasoning and inference
9500.0%vs8200.0%
Claude Sonnet 4
Llama 3.2 11B Vision
MT-BenchMulti-turn conversation flow quality
920.0%vs790.0%
Claude Sonnet 4
Llama 3.2 11B Vision

Claude Sonnet 4 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