MiniMax M2.5 is $29.85 cheaper per 1M input tokens (99.5% lower; 200x difference).
API cost decision in 10 seconds
MiniMax M2.5 vs GPT-5.5 Pro
Pick MiniMax M2.5 for lower cost; pick GPT-5.5 Pro only if the larger context window matters more.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick MiniMax M2.5 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 M2.5 is estimated at $0.72 vs $120 for GPT-5.5 Pro, saving $119.28 (99.4% lower).
Cost-first pickMiniMax M2.5
Context-first pickGPT-5.5 Pro
Sample savings$119.2899.4%
10x traffic gap$1192.75
GPT-5.5 Pro has more context, but MiniMax M2.5 saves $119.28 on the standard workload. At 10x that traffic, the same price gap is about $1192.75. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
MiniMax M2.5 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | MiniMax M2.5 | GPT-5.5 Pro |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | MiniMax M2.5 | $1.32 | $240 |
| Balanced workload | 1M input + 1M output | MiniMax M2.5 | $1.3 | $210 |
| Output-heavy chatbot | 1M input + 5M output | MiniMax M2.5 | $5.9 | $930 |
MiniMax M2.5 is $178.85 cheaper per 1M output tokens (99.4% lower; 156.5x difference).
GPT-5.5 Pro has 845.2K more context (5.13x larger).
MiniMax M2.5 is $119.28 cheaper on the standard workload (99.4% 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 M2.5 has the lower input price; MiniMax M2.5 has the lower output price; GPT-5.5 Pro offers the larger context window. For the 1M input plus 500K output sample, MiniMax M2.5 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.72 for MiniMax M2.5 and $120 for GPT-5.5 Pro.
Choose MiniMax M2.5 when you care most about lower input-token price, and lower output-token price.
Choose GPT-5.5 Pro when you care most about larger context window.
- On the standard 1M input plus 500K output workload, MiniMax M2.5 is estimated at $0.72 vs $120 for GPT-5.5 Pro, saving $119.28 (99.4% lower).
- MiniMax M2.5 is $119.28 cheaper on the standard workload (99.4% lower).
- MiniMax M2.5 is $29.85 cheaper per 1M input tokens (99.5% lower; 200x difference).
- MiniMax M2.5 is $178.85 cheaper per 1M output tokens (99.4% lower; 156.5x difference).
- GPT-5.5 Pro has 845.2K more context (5.13x larger).
| Feature | MiniMax M2.5 (MiniMax) | GPT-5.5 Pro (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.15 | $30 |
| Completion Price per 1M tokens | $1.15 | $180 |
| Sample Workload Cost 1M input + 500K output | $0.72 | $120 |
| Context Window | 204.8K | 1.05M |
| Release Date | ||
| Popularity | #35 | #122 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | MiniMax M2.5 | On the standard 1M input plus 500K output workload, MiniMax M2.5 is estimated at $0.72 vs $120 for GPT-5.5 Pro, saving $119.28 (99.4% lower). |
| High-volume input processing | MiniMax M2.5 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | MiniMax M2.5 | 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, conversation history, or source files. |
Related Alternatives
- MiniMax M2.5 (free) can replace MiniMax M2.5 when lower sample workload cost matters most: $0.
- gpt-oss-120b (free) can replace GPT-5.5 Pro when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-5.5 Pro when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-5.5 Pro when lower sample workload cost matters most: $0.1.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsMiniMax catalog
Review all tracked MiniMax models before deciding whether this matchup is the right shortlist.
Open MiniMax modelsOpenAI catalog
Check other OpenAI models with comparable pricing, context, or release timing.
Open OpenAI modelsMiniMax-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...
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...