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

Gemini 3.5 Flash 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 Gemini 3.5 Flash and Llama 3.2 11B Vision.

Google

Gemini 3.5 Flash

Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...

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

SpecificationGemini 3.5 FlashLlama 3.2 11B Vision
ProviderGoogleMeta
Context Window1,048,576 tokens131,072 tokens
Agent Suitability88/10072/100
Time to First Token (TTFT)200 ms150 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-05-192024-09-25

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.5 Flash

$1.50

Llama 3.2 11B Vision

$0.34

Output Price per Million Tokens

Gemini 3.5 Flash

$9.00

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
9050.0%vs7300.0%
Gemini 3.5 Flash
Llama 3.2 11B Vision
HumanEvalPython coding & logic synthesis
9210.0%vs7500.0%
Gemini 3.5 Flash
Llama 3.2 11B Vision
MATHComplex mathematical problem solving
8500.0%vs5800.0%
Gemini 3.5 Flash
Llama 3.2 11B Vision
GPQAGraduate-level expert reasoning
6820.0%vs3800.0%
Gemini 3.5 Flash
Llama 3.2 11B Vision
HellaSwagCommonsense reasoning and inference
9780.0%vs8200.0%
Gemini 3.5 Flash
Llama 3.2 11B Vision
MT-BenchMulti-turn conversation flow quality
920.0%vs790.0%
Gemini 3.5 Flash
Llama 3.2 11B Vision

Gemini 3.5 Flash Quirks & Gotchas

  • โ–ธExcellent multimodal performance โ€” native video understanding
  • โ–ธTool calling via Google's native function_declarations in Vertex AI

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