โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Claude 3 Opus 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 3 Opus and Llama 3.2 11B Vision.

Anthropic

Claude 3 Opus

Claude 3 Opus is Anthropic's most powerful model from the first Claude 3 generation, engineered for deep analysis, comprehensive research, and demanding multi-step task execution. Released in March 2024, it represented the frontier of Anthropic's capabilities at the time, with a 200,000-token context window suitable for processing large documents, synthesizing diverse research sources, and generating expert-level written content. Priced at $15/MTok for input, Claude 3 Opus remains available for teams with specific requirements for Claude 3-generation behavior, though most use cases are better served by the improved Claude 4 series.

View Full Specs
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.

View Full Specs

Technical Specifications

SpecificationClaude 3 OpusLlama 3.2 11B Vision
ProviderAnthropicMeta
Context Window200,000 tokens131,072 tokens
Agent SuitabilityN/A72/100
Time to First Token (TTFT)N/A150 ms
Deployment ModelN/Aself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-03-042024-09-25

API Pricing Comparison

Input Price per Million Tokens

Claude 3 Opus

$15.00

Llama 3.2 11B Vision

$0.34

Output Price per Million Tokens

Claude 3 Opus

$75.00

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
8680.0%vs7300.0%
Claude 3 Opus
Llama 3.2 11B Vision
HumanEvalPython coding & logic synthesis
8490.0%vs7500.0%
Claude 3 Opus
Llama 3.2 11B Vision
MATHComplex mathematical problem solving
6010.0%vs5800.0%
Claude 3 Opus
Llama 3.2 11B Vision
GPQAGraduate-level expert reasoning
5040.0%vs3800.0%
Claude 3 Opus
Llama 3.2 11B Vision
HellaSwagCommonsense reasoning and inference
9500.0%vs8200.0%
Claude 3 Opus
Llama 3.2 11B Vision
MT-BenchMulti-turn conversation flow quality
900.0%vs790.0%
Claude 3 Opus
Llama 3.2 11B Vision

Claude 3 Opus 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