MiniMax M2 is $20.75 cheaper per 1M input tokens (98.8% lower; 82.4x difference).
API cost decision in 10 seconds
GPT-5.2 Pro vs MiniMax M2
Pick MiniMax M2 for lower cost; pick GPT-5.2 Pro 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 for lower cost; pick GPT-5.2 Pro only if the larger context window matters more.
On the standard 1M input plus 500K output workload, MiniMax M2 is estimated at $0.76 vs $105 for GPT-5.2 Pro, saving $104.25 (99.3% lower).
Cost-first pickMiniMax M2
Context-first pickGPT-5.2 Pro
Sample savings$104.2599.3%
10x traffic gap$1042.45
GPT-5.2 Pro has more context, but MiniMax M2 saves $104.25 on the standard workload. At 10x that traffic, the same price gap is about $1042.45. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
MiniMax M2 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | GPT-5.2 Pro | MiniMax M2 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | MiniMax M2 | $189 | $1.77 |
| Balanced workload | 1M input + 1M output | MiniMax M2 | $189 | $1.25 |
| Output-heavy chatbot | 1M input + 5M output | MiniMax M2 | $861 | $5.25 |
MiniMax M2 is $167 cheaper per 1M output tokens (99.4% lower; 168x difference).
GPT-5.2 Pro has 195.2K more context (1.95x larger).
MiniMax M2 is $104.25 cheaper on the standard workload (99.3% 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 has the lower input price; MiniMax M2 has the lower output price; GPT-5.2 Pro offers the larger context window. For the 1M input plus 500K output sample, MiniMax M2 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $105 for GPT-5.2 Pro and $0.76 for MiniMax M2.
Choose GPT-5.2 Pro when you care most about larger context window.
Choose MiniMax M2 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 is estimated at $0.76 vs $105 for GPT-5.2 Pro, saving $104.25 (99.3% lower).
- MiniMax M2 is $104.25 cheaper on the standard workload (99.3% lower).
- MiniMax M2 is $20.75 cheaper per 1M input tokens (98.8% lower; 82.4x difference).
- MiniMax M2 is $167 cheaper per 1M output tokens (99.4% lower; 168x difference).
- GPT-5.2 Pro has 195.2K more context (1.95x larger).
| Feature | GPT-5.2 Pro (OpenAI) | MiniMax M2 (MiniMax) |
|---|---|---|
| Input Price prompt tokens per 1M | $21 | $0.255 |
| Completion Price per 1M tokens | $168 | $1 |
| Sample Workload Cost 1M input + 500K output | $105 | $0.76 |
| Context Window | 400K | 204.8K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | MiniMax M2 | On the standard 1M input plus 500K output workload, MiniMax M2 is estimated at $0.76 vs $105 for GPT-5.2 Pro, saving $104.25 (99.3% lower). |
| High-volume input processing | MiniMax M2 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | MiniMax M2 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5.2 Pro | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT-5.2 Pro when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-5.2 Pro when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-5.2 Pro when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT-5.2 Pro when lower sample workload cost matters most: $0.13.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- OpenAI GPT Latest offers 1.05M context with $20 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.
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 hubsOpenAI catalog
Review all tracked OpenAI models before deciding whether this matchup is the right shortlist.
Open OpenAI modelsMiniMax catalog
Check other MiniMax models with comparable pricing, context, or release timing.
Open MiniMax modelsGPT-5.2 Pro is OpenAI’s most advanced model, offering major improvements in agentic coding and long context performance over GPT-5 Pro. It is optimized for complex tasks that require step-by-step reasoning,...
MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...