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Llama 3.2 11B Vision vs Seed-2.0-Mini

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 Llama 3.2 11B Vision and Seed-2.0-Mini.

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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ByteDance

Seed-2.0-Mini

Seed-2.0-mini targets latency-sensitive, high-concurrency, and cost-sensitive scenarios, emphasizing fast response and flexible inference deployment. It delivers performance comparable to ByteDance-Seed-1.6, supports 256k context, four reasoning effort modes (minimal/low/medium/high), multimodal understanding,...

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Technical Specifications

SpecificationLlama 3.2 11B VisionSeed-2.0-Mini
ProviderMetaByteDance
Context Window131,072 tokens262,144 tokens
Agent Suitability72/100N/A
Time to First Token (TTFT)150 msN/A
Deployment Modelself hostablemanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-09-252026-02-26

API Pricing Comparison

Input Price per Million Tokens

Llama 3.2 11B Vision

$0.34

Seed-2.0-Mini

$0.10

Output Price per Million Tokens

Llama 3.2 11B Vision

$0.34

Seed-2.0-Mini

$0.40

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
7300.0%vsN/A
Llama 3.2 11B Vision
Seed-2.0-Mini
HumanEvalPython coding & logic synthesis
7500.0%vsN/A
Llama 3.2 11B Vision
Seed-2.0-Mini
MATHComplex mathematical problem solving
5800.0%vsN/A
Llama 3.2 11B Vision
Seed-2.0-Mini
GPQAGraduate-level expert reasoning
3800.0%vsN/A
Llama 3.2 11B Vision
Seed-2.0-Mini
HellaSwagCommonsense reasoning and inference
8200.0%vsN/A
Llama 3.2 11B Vision
Seed-2.0-Mini
MT-BenchMulti-turn conversation flow quality
790.0%vsN/A
Llama 3.2 11B Vision
Seed-2.0-Mini

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

Seed-2.0-Mini Quirks & Gotchas

No developer gotchas reported.