MiniMax M2 vs o4 Mini High
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 MiniMax M2 and o4 Mini High.
MiniMax M2
MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...
o4 Mini High
OpenAI o4-mini-high is the same model as [o4-mini](/openai/o4-mini) with reasoning_effort set to high. OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining...
Technical Specifications
| Specification | MiniMax M2 | o4 Mini High |
|---|---|---|
| Provider | MiniMax | OpenAI |
| Context Window | 204,800 tokens | 200,000 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-10-23 | 2025-04-16 |
API Pricing Comparison
Input Price per Million Tokens
MiniMax M2
$0.26
o4 Mini High
$1.10
Output Price per Million Tokens
MiniMax M2
$1.02
o4 Mini High
$4.40
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.
MiniMax M2 Quirks & Gotchas
No developer gotchas reported.
o4 Mini High Quirks & Gotchas
No developer gotchas reported.