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DeepSeek V4 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 DeepSeek V4 Flash and Llama 3.2 11B Vision.

DeepSeek

DeepSeek V4 Flash

DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and...

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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

SpecificationDeepSeek V4 FlashLlama 3.2 11B Vision
ProviderDeepSeekMeta
Context Window1,048,576 tokens131,072 tokens
Agent Suitability86/10072/100
Time to First Token (TTFT)120 ms150 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-242024-09-25

API Pricing Comparison

Input Price per Million Tokens

DeepSeek V4 Flash

$0.09

Llama 3.2 11B Vision

$0.34

Output Price per Million Tokens

DeepSeek V4 Flash

$0.18

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
8240.0%vs7300.0%
DeepSeek V4 Flash
Llama 3.2 11B Vision
HumanEvalPython coding & logic synthesis
8410.0%vs7500.0%
DeepSeek V4 Flash
Llama 3.2 11B Vision
MATHComplex mathematical problem solving
5020.0%vs5800.0%
DeepSeek V4 Flash
Llama 3.2 11B Vision
GPQAGraduate-level expert reasoning
3800.0%vs3800.0%
DeepSeek V4 Flash
Llama 3.2 11B Vision
HellaSwagCommonsense reasoning and inference
8350.0%vs8200.0%
DeepSeek V4 Flash
Llama 3.2 11B Vision
MT-BenchMulti-turn conversation flow quality
875.0%vs790.0%
DeepSeek V4 Flash
Llama 3.2 11B Vision

DeepSeek V4 Flash Quirks & Gotchas

  • โ–ธBest cost-per-token ratio of any hosted API โ€” ideal for high-throughput pipelines
  • โ–ธLower agentic performance vs V4 Pro โ€” route complex tool calls accordingly

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