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

Llama 4 Maverick 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 4 Maverick and MiniMax M2-her.

Meta

Llama 4 Maverick

Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...

View Full Specs
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...

View Full Specs

Technical Specifications

SpecificationLlama 4 MaverickMiniMax M2-her
ProviderMetaMiniMax
Context Window1,048,576 tokens65,536 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostablemanaged api
Production Stabilitybetastable
API AvailableYesYes
Released Date2025-04-052026-01-23

API Pricing Comparison

Input Price per Million Tokens

Llama 4 Maverick

$0.15

MiniMax M2-her

$0.30

Output Price per Million Tokens

Llama 4 Maverick

$0.60

MiniMax M2-her

$1.20

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.

Llama 4 Maverick Quirks & Gotchas

No developer gotchas reported.

MiniMax M2-her Quirks & Gotchas

No developer gotchas reported.