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Llama 3.2 11B Vision vs MiniMax M2-her

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 MiniMax M2-her.

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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MiniMax

MiniMax M2-her

MiniMax M2-her is a dialogue-first large language model built for immersive roleplay, character-driven chat, and expressive multi-turn conversations. Designed to stay consistent in tone and personality, it supports rich message...

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Technical Specifications

SpecificationLlama 3.2 11B VisionMiniMax M2-her
ProviderMetaMiniMax
Context Window131,072 tokens65,536 tokens
Agent Suitability72/100N/A
Time to First Token (TTFT)150 msN/A
Deployment Modelself hostablemanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-09-252026-01-23

API Pricing Comparison

Input Price per Million Tokens

Llama 3.2 11B Vision

$0.34

MiniMax M2-her

$0.30

Output Price per Million Tokens

Llama 3.2 11B Vision

$0.34

MiniMax M2-her

$1.20

Want to test both models live?

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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
MiniMax M2-her
HumanEvalPython coding & logic synthesis
7500.0%vsN/A
Llama 3.2 11B Vision
MiniMax M2-her
MATHComplex mathematical problem solving
5800.0%vsN/A
Llama 3.2 11B Vision
MiniMax M2-her
GPQAGraduate-level expert reasoning
3800.0%vsN/A
Llama 3.2 11B Vision
MiniMax M2-her
HellaSwagCommonsense reasoning and inference
8200.0%vsN/A
Llama 3.2 11B Vision
MiniMax M2-her
MT-BenchMulti-turn conversation flow quality
790.0%vsN/A
Llama 3.2 11B Vision
MiniMax M2-her

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

MiniMax M2-her Quirks & Gotchas

No developer gotchas reported.