Perceptron Mk1 is $0.11 cheaper per 1M input tokens (41.2% lower; 1.7x difference).
API cost decision in 10 seconds
NewPerceptron Mk1 vs MiniMax M2
Pick MiniMax M2 when budget and context both matter.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick MiniMax M2 when budget and context both matter.
On the standard 1M input plus 500K output workload, MiniMax M2 is estimated at $0.76 vs $0.9 for Perceptron Mk1, saving $0.15 (16.1% lower).
Cost-first pickMiniMax M2
Context-first pickMiniMax M2
Sample savings$0.1516.1%
10x traffic gap$1.45
MiniMax M2 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1.45. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors Perceptron Mk1, balanced workload favors MiniMax M2, and output-heavy chatbot favors MiniMax M2.
| Workload shape | Token mix | Better pick | Perceptron Mk1 | MiniMax M2 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Perceptron Mk1 | $1.5 | $1.77 |
| Balanced workload | 1M input + 1M output | MiniMax M2 | $1.65 | $1.25 |
| Output-heavy chatbot | 1M input + 5M output | MiniMax M2 | $7.65 | $5.25 |
MiniMax M2 is $0.5 cheaper per 1M output tokens (33.3% lower; 1.5x difference).
MiniMax M2 has 172.03K more context (6.25x larger).
MiniMax M2 is $0.15 cheaper on the standard workload (16.1% 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
Perceptron Mk1 has the lower input price; MiniMax M2 has the lower output price; MiniMax M2 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 $0.9 for Perceptron Mk1 and $0.76 for MiniMax M2.
Choose Perceptron Mk1 when you care most about lower input-token price.
Choose MiniMax M2 when you care most about lower output-token price, and larger context window.
- On the standard 1M input plus 500K output workload, MiniMax M2 is estimated at $0.76 vs $0.9 for Perceptron Mk1, saving $0.15 (16.1% lower).
- MiniMax M2 is $0.15 cheaper on the standard workload (16.1% lower).
- Perceptron Mk1 is $0.11 cheaper per 1M input tokens (41.2% lower; 1.7x difference).
- MiniMax M2 is $0.5 cheaper per 1M output tokens (33.3% lower; 1.5x difference).
- MiniMax M2 has 172.03K more context (6.25x larger).
| Feature | NewPerceptron Mk1 (Perceptron) | MiniMax M2 (MiniMax) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.15 | $0.255 |
| Completion Price per 1M tokens | $1.5 | $1 |
| Sample Workload Cost 1M input + 500K output | $0.9 | $0.76 |
| Context Window | 32.77K | 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 $0.9 for Perceptron Mk1, saving $0.15 (16.1% lower). |
| High-volume input processing | Perceptron Mk1 | 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 | MiniMax M2 | 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 when lower sample workload cost matters most: $0.
- MiniMax M2.5 can replace MiniMax M2 when lower sample workload cost matters most: $0.72.
- MiniMax-01 can replace MiniMax M2 when lower sample workload cost matters most: $0.75.
- 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 hubsPerceptron catalog
Review all tracked Perceptron models before deciding whether this matchup is the right shortlist.
Open Perceptron modelsMiniMax catalog
Check other MiniMax models with comparable pricing, context, or release timing.
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