API cost decision in 10 seconds
GPT-5.5 Pro vs 🔥MiniMax M2.7
Pick MiniMax M2.7 for lower cost; pick GPT-5.5 Pro only if the larger context window matters more.
Budget verdict
Pick MiniMax M2.7 for lower cost; pick GPT-5.5 Pro only if the larger context window matters more.
On the standard 1M input plus 500K output workload, MiniMax M2.7 is estimated at $0.88 vs $120 for GPT-5.5 Pro, saving $119.12 (99.3% lower).
GPT-5.5 Pro has more context, but MiniMax M2.7 saves $119.12 on the standard workload. At 10x that traffic, the same price gap is about $1191.21. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
MiniMax M2.7 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | GPT-5.5 Pro | MiniMax M2.7 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | MiniMax M2.7 | $240 | $2 |
| Balanced workload | 1M input + 1M output | MiniMax M2.7 | $210 | $1.48 |
| Output-heavy chatbot | 1M input + 5M output | MiniMax M2.7 | $930 | $6.28 |
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
MiniMax M2.7 has the lower input price, MiniMax M2.7 has the lower output price, and GPT-5.5 Pro offers the larger context window.
For a 1M input token plus 500K output token workload, the estimated API cost is $120 for GPT-5.5 Pro and $0.88 for MiniMax M2.7.
Choose GPT-5.5 Pro when you care most about larger context window.
Choose MiniMax M2.7 when you care most about lower input-token price, and lower output-token price.
| Feature | GPT-5.5 Pro (OpenAI) | 🔥MiniMax M2.7 (MiniMax) |
|---|---|---|
| Input Price prompt tokens per 1M | $30 | $0.28 |
| Completion Price per 1M tokens | $180 | $1.2 |
| Sample Workload Cost 1M input + 500K output | $120 | $0.88 |
| Context Window | 1.05M | 204.8K |
| Release Date | 2026-04-24 | 2026-03-18 |
| Popularity | #14 |
GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K output) with support for...
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...
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | MiniMax M2.7 | On the standard 1M input plus 500K output workload, MiniMax M2.7 is estimated at $0.88 vs $120 for GPT-5.5 Pro, saving $119.12 (99.3% lower). |
| High-volume input processing | MiniMax M2.7 | Lower prompt-token price matters most when prompts or retrieved passages dominate the bill. |
| Long responses and chatbots | MiniMax M2.7 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5.5 Pro | A larger context window leaves more room for retrieved passages and source files. |