Seed 1.6 is $0.05 cheaper per 1M input tokens (16.7% lower; 1.2x difference).
API cost decision in 10 seconds
MiniMax M2-her vs Seed 1.6
Pick MiniMax M2-her for lower cost; pick Seed 1.6 only if the larger context window matters more.
Budget verdict
Pick MiniMax M2-her for lower cost; pick Seed 1.6 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 $1.25 for Seed 1.6, saving $0.35 (28% lower).
Seed 1.6 has more context, but MiniMax M2-her saves $0.35 on the standard workload. At 10x that traffic, the same price gap is about $3.5. 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 | MiniMax M2-her | Seed 1.6 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | MiniMax M2-her | $2.1 | $2.25 |
| Balanced workload | 1M input + 1M output | MiniMax M2-her | $1.5 | $2.25 |
| Output-heavy chatbot | 1M input + 5M output | MiniMax M2-her | $6.3 | $10.25 |
MiniMax M2-her is $0.8 cheaper per 1M output tokens (40% lower; 1.67x difference).
Seed 1.6 has 196.61K more context (4x larger).
MiniMax M2-her is $0.35 cheaper on the standard workload (28% 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
Seed 1.6 has the lower input price; MiniMax M2-her has the lower output price; Seed 1.6 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 $0.9 for MiniMax M2-her and $1.25 for Seed 1.6.
Choose MiniMax M2-her when you care most about lower output-token price.
Choose Seed 1.6 when you care most about lower input-token price, and larger context window.
- On the standard 1M input plus 500K output workload, MiniMax M2-her is estimated at $0.9 vs $1.25 for Seed 1.6, saving $0.35 (28% lower).
- MiniMax M2-her is $0.35 cheaper on the standard workload (28% lower).
- Seed 1.6 is $0.05 cheaper per 1M input tokens (16.7% lower; 1.2x difference).
- MiniMax M2-her is $0.8 cheaper per 1M output tokens (40% lower; 1.67x difference).
- Seed 1.6 has 196.61K more context (4x larger).
| Feature | MiniMax M2-her (MiniMax) | Seed 1.6 (ByteDance Seed) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.3 | $0.25 |
| Completion Price per 1M tokens | $1.2 | $2 |
| Sample Workload Cost 1M input + 500K output | $0.9 | $1.25 |
| Context Window | 65.54K | 262.14K |
| 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 $1.25 for Seed 1.6, saving $0.35 (28% lower). |
| High-volume input processing | Seed 1.6 | 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 | Seed 1.6 | 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-her when lower sample workload cost matters most: $0.
- MiniMax M2.5 can replace MiniMax M2-her when lower sample workload cost matters most: $0.72.
- MiniMax-01 can replace MiniMax M2-her when lower sample workload cost matters most: $0.75.
- MiniMax M2 can replace MiniMax M2-her when lower sample workload cost matters most: $0.76.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- Gemini 3.1 Flash Lite offers 1.05M context with $1 sample workload cost.
- DeepSeek V4 Pro offers 1.05M context with $0.87 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 hubsMiniMax catalog
Review all tracked MiniMax models before deciding whether this matchup is the right shortlist.
Open MiniMax modelsByteDance Seed catalog
Check other ByteDance Seed models with comparable pricing, context, or release timing.
Open ByteDance Seed modelsMiniMax 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...
Seed 1.6 is a general-purpose model released by the ByteDance Seed team. It incorporates multimodal capabilities and adaptive deep thinking with a 256K context window.