MiniMax M2.1 vs o3 Deep Research
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 M2.1 and o3 Deep Research.
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...
o3 Deep Research
o3-deep-research is OpenAI's advanced model for deep research, designed to tackle complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.
Technical Specifications
| Specification | MiniMax M2.1 | o3 Deep Research |
|---|---|---|
| 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 | 2025-12-23 | 2025-10-10 |
API Pricing Comparison
Input Price per Million Tokens
MiniMax M2.1
$0.30
o3 Deep Research
$10.00
Output Price per Million Tokens
MiniMax M2.1
$1.20
o3 Deep Research
$40.00
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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 M2.1 Quirks & Gotchas
No developer gotchas reported.
o3 Deep Research Quirks & Gotchas
No developer gotchas reported.