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Claude Sonnet 4.5 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 4.5 and Llama 3.2 11B Vision.

Anthropic

Claude Sonnet 4.5

Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, 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 4.5Llama 3.2 11B Vision
ProviderAnthropicMeta
Context Window1,000,000 tokens131,072 tokens
Agent Suitability91/10072/100
Time to First Token (TTFT)380 ms150 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-09-292024-09-25

API Pricing Comparison

Input Price per Million Tokens

Claude Sonnet 4.5

$3.00

Llama 3.2 11B Vision

$0.34

Output Price per Million Tokens

Claude Sonnet 4.5

$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
8950.0%vs7300.0%
Claude Sonnet 4.5
Llama 3.2 11B Vision
HumanEvalPython coding & logic synthesis
9280.0%vs7500.0%
Claude Sonnet 4.5
Llama 3.2 11B Vision
MATHComplex mathematical problem solving
8000.0%vs5800.0%
Claude Sonnet 4.5
Llama 3.2 11B Vision
GPQAGraduate-level expert reasoning
6250.0%vs3800.0%
Claude Sonnet 4.5
Llama 3.2 11B Vision
HellaSwagCommonsense reasoning and inference
9580.0%vs8200.0%
Claude Sonnet 4.5
Llama 3.2 11B Vision
MT-BenchMulti-turn conversation flow quality
930.0%vs790.0%
Claude Sonnet 4.5
Llama 3.2 11B Vision

Claude Sonnet 4.5 Quirks & Gotchas

  • Excellent for long-form writing and nuanced document analysis
  • Slightly slower than Sonnet 4.6 — upgrade for production agentic use

Llama 3.2 11B Vision Quirks & Gotchas

  • Lightweight vision model for edge/on-device deployments
  • Limited tool calling — use Llama 4 for production agentic tasks