Llama 4 Maverick vs MiniMax M2 (Comparative Analysis)
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Comparative Analysis: Llama 4 Maverick vs. MiniMax M2
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Overview
Llama 4 Maverick was released 6 months before MiniMax M2.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 1M tokens | 204.8K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 16.4K tokens | 131.1K tokens |
Release Date When this model first became publicly available | April 5, 2025 1 year ago April 5th, 2025 | October 23, 2025 9 months ago October 23rd, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | August 31, 2024 | Not reported |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Llama 4 Maverick | MiniMax M2 | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Not reported | Always enabled |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Llama4 | Other |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
Pricing
Llama 4 Maverick is roughly 0.8x less expensive compared to MiniMax M2 for input tokens and roughly 0.8x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.20 per million tokens | $0.26 per million tokens |
Output Token Cost Cost per million output tokens | $0.80 per million tokens | $1.02 per million tokens |
Benchmarks
Compare relevant benchmarks between Llama 4 Maverick and MiniMax M2.
Intelligence Index Overall model quality across independent evaluations | 14.3 (Artificial Analysis index; higher is better) | Benchmark not available. |
Coding Index Programming performance across independent evaluations | 16.3 (Artificial Analysis index; higher is better) | Benchmark not available. |
Agentic Index Ability to complete multi-step agentic tasks | 1.3 (Artificial Analysis index; higher is better) | Benchmark not available. |
Best Design Arena Score Highest human-preference Elo score across design arenas | 957 Elo (#99 in 3D (40.2% win rate)) | 1,174 Elo (#61 in Game Dev (48.1% win rate)) |
At a Glance
Quick overview of what makes Llama 4 Maverick and MiniMax M2 unique.
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