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Claude Opus 4.6 vs Llama 3.2 11B Vision Instruct

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 Opus 4.6 and Llama 3.2 11B Vision Instruct.

Anthropic

Claude Opus 4.6

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...

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Meta

Llama 3.2 11B Vision Instruct

Llama 3.2 11B Vision is a multimodal model with 11 billion parameters, designed to handle tasks combining visual and textual data. It excels in tasks such as image captioning and...

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Technical Specifications

SpecificationClaude Opus 4.6Llama 3.2 11B Vision Instruct
ProviderAnthropicMeta
Context Window1,000,000 tokens131,072 tokens
Agent Suitability95/100N/A
Time to First Token (TTFT)500 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-02-042024-09-25

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.6

$5.00

Llama 3.2 11B Vision Instruct

$0.34

Output Price per Million Tokens

Claude Opus 4.6

$25.00

Llama 3.2 11B Vision Instruct

$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
9250.0%vsN/A
Claude Opus 4.6
Llama 3.2 11B Vision Instruct
HumanEvalPython coding & logic synthesis
9450.0%vsN/A
Claude Opus 4.6
Llama 3.2 11B Vision Instruct
MATHComplex mathematical problem solving
8890.0%vsN/A
Claude Opus 4.6
Llama 3.2 11B Vision Instruct
GPQAGraduate-level expert reasoning
7980.0%vsN/A
Claude Opus 4.6
Llama 3.2 11B Vision Instruct
HellaSwagCommonsense reasoning and inference
9750.0%vsN/A
Claude Opus 4.6
Llama 3.2 11B Vision Instruct
MT-BenchMulti-turn conversation flow quality
965.0%vsN/A
Claude Opus 4.6
Llama 3.2 11B Vision Instruct

Claude Opus 4.6 Quirks & Gotchas

  • Best for long-context document analysis and legal review
  • Tool calling requires structured prompt — prone to verbose refusal without explicit output schema

Llama 3.2 11B Vision Instruct Quirks & Gotchas

No developer gotchas reported.