MiniMax-M2 vs Grok 4
Comparing 2 AI models · 6 benchmarks · MiniMax, xAI
Most Affordable
Mi
MiniMax-M2
$0.30/1M
Highest Intelligence
xA
Grok 4
87.7% GPQA
Best for Coding
xA
Grok 4
55.1 Coding Index
Price Difference
10.0x
input cost range
Composite Indices
Intelligence, Coding, Math
Standard Benchmarks
Academic and industry benchmarks
Benchmark Winners
6 tests
Mi
MiniMax-M2
1
- LiveCodeBench
xA
Grok 4
5
- GPQA
- MMLU Pro
- HLE
- MATH 500
- AIME 2025
| Metric | Mi MiniMax-M2 | xA Grok 4 |
|---|---|---|
| Pricing Per 1M tokens | ||
| Input Cost | $0.30/1M | $3.00/1M |
| Output Cost | $1.20/1M | $15.00/1M |
| Blended Cost 3:1 input/output ratio | $0.52/1M | $6.00/1M |
| Specifications | ||
| Organization Model creator | MiniMax | xAI |
| Release Date Launch date | Oct 26, 2025 | Jul 10, 2025 |
| Performance & Speed | ||
| Throughput Output speed | 96.6 tok/s | 37.2 tok/s |
| Time to First Token (TTFT) Initial response delay | 1543ms | 9172ms |
| Latency Time to first answer token | 22253ms | 9172ms |
| Composite Indices | ||
| Intelligence Index Overall reasoning capability | 61.4 | 65.3 |
| Coding Index Programming ability | 47.6 | 55.1 |
| Math Index Mathematical reasoning | 78.3 | 92.7 |
| Standard Benchmarks | ||
| GPQA Graduate-level reasoning | 77.7% | 87.7% |
| MMLU Pro Advanced knowledge | 82.0% | 86.6% |
| HLE Hard language evaluation | 12.5% | 23.9% |
| LiveCodeBench Real-world coding tasks | 82.6% | 81.9% |
| MATH 500 Mathematical problems | — | 99.0% |
| AIME 2025 Advanced math competition | 78.3% | 92.7% |
| AIME (Original) Math olympiad problems | ||