GPT-4o vs MiniMax M2.7
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 and MiniMax M2.7.
GPT-4o
GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as...
MiniMax M2.7
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...
Technical Specifications
| Specification | GPT-4o | MiniMax M2.7 |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Context Window | 128,000 tokens | 204,800 tokens |
| Agent Suitability | 90/100 | N/A |
| Time to First Token (TTFT) | 280 ms | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-05-13 | 2026-03-18 |
API Pricing Comparison
Input Price per Million Tokens
GPT-4o
$2.50
MiniMax M2.7
$0.18
Output Price per Million Tokens
GPT-4o
$10.00
MiniMax M2.7
$0.72
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 Quirks & Gotchas
- ▸Strong multimodal performance — best vision+tool calling combo
- ▸Legacy model — migrate to GPT-5 for latest improvements
MiniMax M2.7 Quirks & Gotchas
No developer gotchas reported.