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GPT-5.5 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 GPT-5.5 and Llama 3.2 11B Vision.

OpenAI

GPT-5.5

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...

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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

SpecificationGPT-5.5Llama 3.2 11B Vision
ProviderOpenAIMeta
Context Window1,050,000 tokens131,072 tokens
Agent Suitability95/10072/100
Time to First Token (TTFT)380 ms150 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-242024-09-25

API Pricing Comparison

Input Price per Million Tokens

GPT-5.5

$5.00

Llama 3.2 11B Vision

$0.34

Output Price per Million Tokens

GPT-5.5

$30.00

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
9420.0%vs7300.0%
GPT-5.5
Llama 3.2 11B Vision
HumanEvalPython coding & logic synthesis
9680.0%vs7500.0%
GPT-5.5
Llama 3.2 11B Vision
MATHComplex mathematical problem solving
9350.0%vs5800.0%
GPT-5.5
Llama 3.2 11B Vision
GPQAGraduate-level expert reasoning
8420.0%vs3800.0%
GPT-5.5
Llama 3.2 11B Vision
HellaSwagCommonsense reasoning and inference
9900.0%vs8200.0%
GPT-5.5
Llama 3.2 11B Vision
MT-BenchMulti-turn conversation flow quality
970.0%vs790.0%
GPT-5.5
Llama 3.2 11B Vision

GPT-5.5 Quirks & Gotchas

  • Best for JSON schema adherence — strict mode available via response_format parameter
  • Requires explicit tool_choice for deterministic function calling

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