MiniMax M2-her is $1.7 cheaper per 1M input tokens (85% lower; 6.67x difference).
API cost decision in 10 seconds
NewGoogle Gemini Pro Latest vs MiniMax M2-her
Pick MiniMax M2-her for lower cost; pick Google Gemini Pro 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-her for lower cost; pick Google Gemini Pro Latest only if the larger context window matters more.
On the standard 1M input plus 500K output workload, MiniMax M2-her is estimated at $0.9 vs $8 for Google Gemini Pro Latest, saving $7.1 (88.8% lower).
Cost-first pickMiniMax M2-her
Context-first pickGoogle Gemini Pro Latest
Sample savings$7.188.8%
10x traffic gap$71
Google Gemini Pro Latest has more context, but MiniMax M2-her 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 M2-her stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Google Gemini Pro Latest | MiniMax M2-her |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | MiniMax M2-her | $16 | $2.1 |
| Balanced workload | 1M input + 1M output | MiniMax M2-her | $14 | $1.5 |
| Output-heavy chatbot | 1M input + 5M output | MiniMax M2-her | $62 | $6.3 |
MiniMax M2-her is $10.8 cheaper per 1M output tokens (90% lower; 10x difference).
Google Gemini Pro Latest has 983.04K more context (16x larger).
MiniMax M2-her 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 M2-her has the lower input price; MiniMax M2-her has the lower output price; Google Gemini Pro Latest offers the larger context window. For the 1M input plus 500K output sample, MiniMax M2-her is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $8 for Google Gemini Pro Latest and $0.9 for MiniMax M2-her.
Choose Google Gemini Pro Latest when you care most about larger context window.
Choose MiniMax M2-her 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-her is estimated at $0.9 vs $8 for Google Gemini Pro Latest, saving $7.1 (88.8% lower).
- MiniMax M2-her is $7.1 cheaper on the standard workload (88.8% lower).
- MiniMax M2-her is $1.7 cheaper per 1M input tokens (85% lower; 6.67x difference).
- MiniMax M2-her is $10.8 cheaper per 1M output tokens (90% lower; 10x difference).
- Google Gemini Pro Latest has 983.04K more context (16x larger).
| Feature | NewGoogle Gemini Pro Latest (Google) | MiniMax M2-her (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 | 65.54K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | MiniMax M2-her | On the standard 1M input plus 500K output workload, MiniMax M2-her is estimated at $0.9 vs $8 for Google Gemini Pro Latest, saving $7.1 (88.8% lower). |
| High-volume input processing | MiniMax M2-her | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | MiniMax M2-her | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Google Gemini Pro Latest | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Gemma 4 26B A4B (free) can replace Google Gemini Pro Latest when lower sample workload cost matters most: $0.
- Gemma 4 31B (free) can replace Google Gemini Pro Latest when lower sample workload cost matters most: $0.
- Lyria 3 Pro Preview can replace Google Gemini Pro Latest when lower sample workload cost matters most: $0.
- Lyria 3 Clip Preview can replace Google Gemini Pro Latest when lower sample workload cost matters most: $0.
- 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.
- GPT-5.4 offers 1.05M context with $10 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-her is a dialogue-first large language model built for immersive roleplay, character-driven chat, and expressive multi-turn conversations. Designed to stay consistent in tone and personality, it supports rich message...