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Claude Sonnet 4.6 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 4.6 and Llama 3.2 11B Vision.

Anthropic

Claude Sonnet 4.6

Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with...

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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 4.6Llama 3.2 11B Vision
ProviderAnthropicMeta
Context Window1,000,000 tokens131,072 tokens
Agent Suitability94/10072/100
Time to First Token (TTFT)350 ms150 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-02-172024-09-25

API Pricing Comparison

Input Price per Million Tokens

Claude Sonnet 4.6

$3.00

Llama 3.2 11B Vision

$0.34

Output Price per Million Tokens

Claude Sonnet 4.6

$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
9040.0%vs7300.0%
Claude Sonnet 4.6
Llama 3.2 11B Vision
HumanEvalPython coding & logic synthesis
9370.0%vs7500.0%
Claude Sonnet 4.6
Llama 3.2 11B Vision
MATHComplex mathematical problem solving
8230.0%vs5800.0%
Claude Sonnet 4.6
Llama 3.2 11B Vision
GPQAGraduate-level expert reasoning
6500.0%vs3800.0%
Claude Sonnet 4.6
Llama 3.2 11B Vision
HellaSwagCommonsense reasoning and inference
9600.0%vs8200.0%
Claude Sonnet 4.6
Llama 3.2 11B Vision
MT-BenchMulti-turn conversation flow quality
940.0%vs790.0%
Claude Sonnet 4.6
Llama 3.2 11B Vision

Claude Sonnet 4.6 Quirks & Gotchas

  • โ–ธBest balance of speed and capability โ€” default for most Claude integrations
  • โ–ธComputer-use (beta) feature enables autonomous UI interaction

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