MiniMax M3 is $1.7 cheaper per 1M input tokens (85% lower; 6.67x difference).
API cost decision in 10 seconds
GPT-5.6 Terra Pro vs MiniMax M3
Pick MiniMax M3 for lower cost; pick GPT-5.6 Terra Pro only if the larger context window matters more.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick MiniMax M3 for lower cost; pick GPT-5.6 Terra Pro only if the larger context window matters more.
On the standard 1M input plus 500K output workload, MiniMax M3 is estimated at $0.9 vs $8 for GPT-5.6 Terra Pro, saving $7.1 (88.8% lower).
Cost-first pickMiniMax M3
Context-first pickGPT-5.6 Terra Pro
Sample savings$7.188.8%
10x traffic gap$71
GPT-5.6 Terra Pro has more context, but MiniMax M3 saves $7.1 on the standard workload. At 10x that traffic, the same price gap is about $71. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
MiniMax M3 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | GPT-5.6 Terra Pro | MiniMax M3 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | MiniMax M3 | $16 | $2.1 |
| Balanced workload | 1M input + 1M output | MiniMax M3 | $14 | $1.5 |
| Output-heavy chatbot | 1M input + 5M output | MiniMax M3 | $62 | $6.3 |
MiniMax M3 is $10.8 cheaper per 1M output tokens (90% lower; 10x difference).
GPT-5.6 Terra Pro has 1.42K more context (1x larger).
MiniMax M3 is $7.1 cheaper on the standard workload (88.8% 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 M3 has the lower input price; MiniMax M3 has the lower output price; GPT-5.6 Terra Pro offers the larger context window. For the 1M input plus 500K output sample, MiniMax M3 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $8 for GPT-5.6 Terra Pro and $0.9 for MiniMax M3.
Choose GPT-5.6 Terra Pro when you care most about larger context window.
Choose MiniMax M3 when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, MiniMax M3 is estimated at $0.9 vs $8 for GPT-5.6 Terra Pro, saving $7.1 (88.8% lower).
- MiniMax M3 is $7.1 cheaper on the standard workload (88.8% lower).
- MiniMax M3 is $1.7 cheaper per 1M input tokens (85% lower; 6.67x difference).
- MiniMax M3 is $10.8 cheaper per 1M output tokens (90% lower; 10x difference).
- GPT-5.6 Terra Pro has 1.42K more context (1x larger).
| Feature | GPT-5.6 Terra Pro (OpenAI) | MiniMax M3 (MiniMax) |
|---|---|---|
| Input Price prompt tokens per 1M | $2 | $0.3 |
| Completion Price per 1M tokens | $12 | $1.2 |
| Sample Workload Cost 1M input + 500K output | $8 | $0.9 |
| Context Window | 1.05M | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | MiniMax M3 | On the standard 1M input plus 500K output workload, MiniMax M3 is estimated at $0.9 vs $8 for GPT-5.6 Terra Pro, saving $7.1 (88.8% lower). |
| High-volume input processing | MiniMax M3 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | MiniMax M3 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5.6 Terra 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-5.6 Terra Pro when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-5.6 Terra Pro when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-5.6 Terra Pro when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT-5.6 Terra Pro when lower sample workload cost matters most: $0.12.
- Grok 4.20 Multi-Agent offers 2M context with $2.5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.17 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.11 sample workload cost.
- DeepSeek V4 Flash 0731 · DeepSeek · #1
- MiMo-V2.5 · Xiaomi · #2
- Hy3 · Tencent · #3
- Ox Alpha · stealth · #4
Cheaper alternatives
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Open MiniMax modelsGPT-5.6 Terra Pro is the same underlying model as [GPT-5.6 Terra](https://openrouter.ai/openai/gpt-5.6-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...