API cost decision in 10 seconds
GPT-5.4 Image 2 vs 🔥MiniMax M2.7
Pick MiniMax M2.7 for lower cost; pick GPT-5.4 Image 2 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 GPT-5.4 Image 2 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 $15.5 for GPT-5.4 Image 2, saving $14.62 (94.3% lower).
Cost-first pickMiniMax M2.7
Context-first pickGPT-5.4 Image 2
Sample savings$14.6294.3%
10x traffic gap$146.21
GPT-5.4 Image 2 has more context, but MiniMax M2.7 saves $14.62 on the standard workload. At 10x that traffic, the same price gap is about $146.21. 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-5.4 Image 2 | MiniMax M2.7 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | MiniMax M2.7 | $47.5 | $2 |
| Balanced workload | 1M input + 1M output | MiniMax M2.7 | $23 | $1.48 |
| Output-heavy chatbot | 1M input + 5M output | MiniMax M2.7 | $83 | $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-5.4 Image 2 offers the larger context window.
For a 1M input token plus 500K output token workload, the estimated API cost is $15.5 for GPT-5.4 Image 2 and $0.88 for MiniMax M2.7.
Choose GPT-5.4 Image 2 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-5.4 Image 2 (OpenAI) | 🔥MiniMax M2.7 (MiniMax) |
|---|---|---|
| Input Price prompt tokens per 1M | $8 | $0.28 |
| Completion Price per 1M tokens | $15 | $1.2 |
| Sample Workload Cost 1M input + 500K output | $15.5 | $0.88 |
| Context Window | 272K | 204.8K |
| Release Date | 2026-04-21 | 2026-03-18 |
| Popularity | #14 |
[GPT-5.4](https://openrouter.ai/openai/gpt-5.4) Image 2 combines OpenAI's GPT-5.4 model with state-of-the-art image generation capabilities from GPT Image 2. It enables rich multimodal workflows, allowing users to seamlessly move between reasoning, coding, and...
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 $15.5 for GPT-5.4 Image 2, saving $14.62 (94.3% 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-5.4 Image 2 | A larger context window leaves more room for retrieved passages and source files. |