GPT-3.5 Turbo 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 GPT-3.5 Turbo and MiniMax M2.1.
GPT-3.5 Turbo
GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.
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 | GPT-3.5 Turbo | MiniMax M2.1 |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Context Window | 16,385 tokens | 204,800 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 | 2023-05-28 | 2025-12-23 |
API Pricing Comparison
Input Price per Million Tokens
GPT-3.5 Turbo
$0.50
MiniMax M2.1
$0.30
Output Price per Million Tokens
GPT-3.5 Turbo
$1.50
MiniMax M2.1
$1.20
Want to test both models live?
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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.
GPT-3.5 Turbo Quirks & Gotchas
No developer gotchas reported.
MiniMax M2.1 Quirks & Gotchas
No developer gotchas reported.