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Claude 3 Haiku 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 Haiku and Llama 3.2 11B Vision.

Anthropic

Claude 3 Haiku

Claude 3 Haiku is Anthropic's fastest and most compact model for near-instant responsiveness. Quick and accurate targeted performance. See the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-haiku) #multimodal

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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 3 HaikuLlama 3.2 11B Vision
ProviderAnthropicMeta
Context Window200,000 tokens131,072 tokens
Agent SuitabilityN/A72/100
Time to First Token (TTFT)N/A150 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-03-132024-09-25

API Pricing Comparison

Input Price per Million Tokens

Claude 3 Haiku

$0.25

Llama 3.2 11B Vision

$0.34

Output Price per Million Tokens

Claude 3 Haiku

$1.25

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
7520.0%vs7300.0%
Claude 3 Haiku
Llama 3.2 11B Vision
HumanEvalPython coding & logic synthesis
7590.0%vs7500.0%
Claude 3 Haiku
Llama 3.2 11B Vision
MATHComplex mathematical problem solving
3890.0%vs5800.0%
Claude 3 Haiku
Llama 3.2 11B Vision
GPQAGraduate-level expert reasoning
3200.0%vs3800.0%
Claude 3 Haiku
Llama 3.2 11B Vision
HellaSwagCommonsense reasoning and inference
8810.0%vs8200.0%
Claude 3 Haiku
Llama 3.2 11B Vision
MT-BenchMulti-turn conversation flow quality
800.0%vs790.0%
Claude 3 Haiku
Llama 3.2 11B Vision

Claude 3 Haiku 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