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Claude Haiku 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 Haiku 4.5 and Llama 3.2 11B Vision.

Anthropic

Claude Haiku 4.5

Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...

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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 Haiku 4.5Llama 3.2 11B Vision
ProviderAnthropicMeta
Context Window200,000 tokens131,072 tokens
Agent Suitability87/10072/100
Time to First Token (TTFT)180 ms150 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-10-152024-09-25

API Pricing Comparison

Input Price per Million Tokens

Claude Haiku 4.5

$1.00

Llama 3.2 11B Vision

$0.34

Output Price per Million Tokens

Claude Haiku 4.5

$5.00

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
8480.0%vs7300.0%
Claude Haiku 4.5
Llama 3.2 11B Vision
HumanEvalPython coding & logic synthesis
8600.0%vs7500.0%
Claude Haiku 4.5
Llama 3.2 11B Vision
MATHComplex mathematical problem solving
7500.0%vs5800.0%
Claude Haiku 4.5
Llama 3.2 11B Vision
GPQAGraduate-level expert reasoning
5500.0%vs3800.0%
Claude Haiku 4.5
Llama 3.2 11B Vision
HellaSwagCommonsense reasoning and inference
9350.0%vs8200.0%
Claude Haiku 4.5
Llama 3.2 11B Vision
MT-BenchMulti-turn conversation flow quality
890.0%vs790.0%
Claude Haiku 4.5
Llama 3.2 11B Vision

Claude Haiku 4.5 Quirks & Gotchas

  • Fastest TTFT in the Claude lineup — ideal for real-time chat
  • Tool calling limited compared to Sonnet — best for simple classification and routing

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