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MiniMax M2.5 vs Llama 4 Maverick

A detailed comparison of MiniMax M2.5 (MiniMax) and Llama 4 Maverick (Meta) across pricing, performance, and features.

Pricing Comparison

MetricMiniMax M2.5Llama 4 MaverickDifference
Input / 1M tokens$0.30$0.31+3%
Output / 1M tokens$1.20$0.85-29%
Context window200K1M
Max output128K32K

Benchmark Comparison

BenchmarkMiniMax M2.5Llama 4 Maverick
MMLU-Pro82%80.5%
HumanEval90%90.2%

Capabilities

CapabilityMiniMax M2.5Llama 4 Maverick
code
reasoning
text
vision

MiniMax M2.5 Strengths

  • Frontier quality at budget pricing ($0.30/$1.20)
  • 80.2% SWE-Bench Verified — among the best
  • Open-source (MIT) with 10B active params — easy to run

MiniMax M2.5 Weaknesses

  • Text-only — no vision or audio
  • No tool-use support
  • Newer provider — smaller ecosystem

Llama 4 Maverick Strengths

  • Open-source and self-hostable
  • 1M context window
  • Very competitive via API providers

Llama 4 Maverick Weaknesses

  • Requires significant compute to self-host
  • Fewer tool-use capabilities than proprietary models

Quick Verdict

Best value: Llama 4 Maverick is the more affordable option at $0.31/$0.85 per 1M tokens.

Higher benchmarks: MiniMax M2.5 scores higher on average across available benchmarks (86.0% avg).

Larger context: Llama 4 Maverick supports 1M tokens.

Choose Llama 4 Maverick if cost matters most. Choose MiniMax M2.5 if you need the best possible quality for complex tasks.

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