GPT-4o-mini (2024-07-18) vs MiniMax M2.5
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-4o-mini (2024-07-18) and MiniMax M2.5.
GPT-4o-mini (2024-07-18)
GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...
MiniMax M2.5
MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1...
Technical Specifications
| Specification | GPT-4o-mini (2024-07-18) | MiniMax M2.5 |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Context Window | 128,000 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 | 2024-07-18 | 2026-02-12 |
API Pricing Comparison
Input Price per Million Tokens
GPT-4o-mini (2024-07-18)
$0.15
MiniMax M2.5
$0.12
Output Price per Million Tokens
GPT-4o-mini (2024-07-18)
$0.60
MiniMax M2.5
$0.48
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.
GPT-4o-mini (2024-07-18) Quirks & Gotchas
No developer gotchas reported.
MiniMax M2.5 Quirks & Gotchas
No developer gotchas reported.