Llama 4 Maverick vs MiniMax M2.1
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 M2.1.
Llama 4 Maverick
Meta's next-generation open weights model. Delivers premium agentic capabilities, reasoning, and tool call compliance for local or self-hosted enterprise stacks.
MiniMax M2.1
MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated parameters, it delivers a major jump in real-world...
Technical Specifications
| Specification | Llama 4 Maverick | MiniMax M2.1 |
|---|---|---|
| Provider | Meta | MiniMax |
| Context Window | 1,048,576 tokens | 204,800 tokens |
| Agent Suitability | 89/100 | N/A |
| Time to First Token (TTFT) | 300 ms | N/A |
| Deployment Model | self hostable | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-05-25 | 2025-12-23 |
API Pricing Comparison
Input Price per Million Tokens
Llama 4 Maverick
$0.15
MiniMax M2.1
$0.30
Output Price per Million Tokens
Llama 4 Maverick
$0.60
MiniMax M2.1
$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
- ▸Self-hostable via Ollama/Docker — ideal for on-premise deployments
- ▸Requires specific system prompt for optimal function calling reliability
MiniMax M2.1 Quirks & Gotchas
No developer gotchas reported.