MiniMax M2.7 is $0.47 cheaper per 1M input tokens (62.8% lower; 2.69x difference).
API cost decision in 10 seconds
NewOpenAI GPT Mini Latest vs MiniMax M2.7
Pick MiniMax M2.7 for lower cost; pick OpenAI GPT Mini Latest only if the larger context window matters more.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick MiniMax M2.7 for lower cost; pick OpenAI GPT Mini Latest 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 $3 for OpenAI GPT Mini Latest, saving $2.12 (70.7% lower).
Cost-first pickMiniMax M2.7
Context-first pickOpenAI GPT Mini Latest
Sample savings$2.1270.7%
10x traffic gap$21.21
OpenAI GPT Mini Latest has more context, but MiniMax M2.7 saves $2.12 on the standard workload. At 10x that traffic, the same price gap is about $21.21. 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 | OpenAI GPT Mini Latest | MiniMax M2.7 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | MiniMax M2.7 | $6 | $2 |
| Balanced workload | 1M input + 1M output | MiniMax M2.7 | $5.25 | $1.48 |
| Output-heavy chatbot | 1M input + 5M output | MiniMax M2.7 | $23.25 | $6.28 |
MiniMax M2.7 is $3.3 cheaper per 1M output tokens (73.3% lower; 3.75x difference).
OpenAI GPT Mini Latest has 195.2K more context (1.95x larger).
MiniMax M2.7 is $2.12 cheaper on the standard workload (70.7% lower).
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; OpenAI GPT Mini Latest offers the larger context window. For the 1M input plus 500K output sample, MiniMax M2.7 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $3 for OpenAI GPT Mini Latest and $0.88 for MiniMax M2.7.
Choose OpenAI GPT Mini Latest 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.
- On the standard 1M input plus 500K output workload, MiniMax M2.7 is estimated at $0.88 vs $3 for OpenAI GPT Mini Latest, saving $2.12 (70.7% lower).
- MiniMax M2.7 is $2.12 cheaper on the standard workload (70.7% lower).
- MiniMax M2.7 is $0.47 cheaper per 1M input tokens (62.8% lower; 2.69x difference).
- MiniMax M2.7 is $3.3 cheaper per 1M output tokens (73.3% lower; 3.75x difference).
- OpenAI GPT Mini Latest has 195.2K more context (1.95x larger).
| Feature | NewOpenAI GPT Mini Latest (OpenAI) | MiniMax M2.7 (MiniMax) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.75 | $0.279 |
| Completion Price per 1M tokens | $4.5 | $1.2 |
| Sample Workload Cost 1M input + 500K output | $3 | $0.88 |
| Context Window | 400K | 204.8K |
| Release Date |
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 $3 for OpenAI GPT Mini Latest, saving $2.12 (70.7% lower). |
| High-volume input processing | MiniMax M2.7 | Lower prompt-token price matters most when prompts, retrieved passages, or documents 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 | OpenAI GPT Mini Latest | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace OpenAI GPT Mini Latest when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace OpenAI GPT Mini Latest when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace OpenAI GPT Mini Latest when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace OpenAI GPT Mini Latest when lower sample workload cost matters most: $0.13.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- Gemini 3.1 Flash Lite offers 1.05M context with $1 sample workload cost.
- No popular competitor is currently available.
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
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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...