Ternary Bonsai 2 27B is $0.22 cheaper per 1M input tokens (75% lower; 4x difference).
API cost decision in 10 seconds
NewTernary Bonsai 2 27B vs MiniMax M3
Pick Ternary Bonsai 2 27B for lower cost; pick MiniMax M3 only if the larger context window matters more.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Ternary Bonsai 2 27B for lower cost; pick MiniMax M3 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Ternary Bonsai 2 27B is estimated at $0.33 vs $0.9 for MiniMax M3, saving $0.57 (63.9% lower).
Cost-first pickTernary Bonsai 2 27B
Context-first pickMiniMax M3
Sample savings$0.5763.9%
10x traffic gap$5.75
MiniMax M3 has more context, but Ternary Bonsai 2 27B saves $0.57 on the standard workload. At 10x that traffic, the same price gap is about $5.75. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Ternary Bonsai 2 27B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Ternary Bonsai 2 27B | MiniMax M3 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Ternary Bonsai 2 27B | $0.62 | $2.1 |
| Balanced workload | 1M input + 1M output | Ternary Bonsai 2 27B | $0.57 | $1.5 |
| Output-heavy chatbot | 1M input + 5M output | Ternary Bonsai 2 27B | $2.58 | $6.3 |
Ternary Bonsai 2 27B is $0.7 cheaper per 1M output tokens (58.3% lower; 2.4x difference).
MiniMax M3 has 786.43K more context (4x larger).
Ternary Bonsai 2 27B is $0.57 cheaper on the standard workload (63.9% 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
Ternary Bonsai 2 27B has the lower input price; Ternary Bonsai 2 27B has the lower output price; MiniMax M3 offers the larger context window. For the 1M input plus 500K output sample, Ternary Bonsai 2 27B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.33 for Ternary Bonsai 2 27B and $0.9 for MiniMax M3.
Choose Ternary Bonsai 2 27B when you care most about lower input-token price, and lower output-token price.
Choose MiniMax M3 when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Ternary Bonsai 2 27B is estimated at $0.33 vs $0.9 for MiniMax M3, saving $0.57 (63.9% lower).
- Ternary Bonsai 2 27B is $0.57 cheaper on the standard workload (63.9% lower).
- Ternary Bonsai 2 27B is $0.22 cheaper per 1M input tokens (75% lower; 4x difference).
- Ternary Bonsai 2 27B is $0.7 cheaper per 1M output tokens (58.3% lower; 2.4x difference).
- MiniMax M3 has 786.43K more context (4x larger).
| Feature | NewTernary Bonsai 2 27B (PrismML) | MiniMax M3 (MiniMax) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.075 | $0.3 |
| Completion Price per 1M tokens | $0.5 | $1.2 |
| Sample Workload Cost 1M input + 500K output | $0.33 | $0.9 |
| Context Window | 262.14K | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Ternary Bonsai 2 27B | On the standard 1M input plus 500K output workload, Ternary Bonsai 2 27B is estimated at $0.33 vs $0.9 for MiniMax M3, saving $0.57 (63.9% lower). |
| High-volume input processing | Ternary Bonsai 2 27B | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Ternary Bonsai 2 27B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | MiniMax M3 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- MiniMax M3 (free) can replace MiniMax M3 when lower sample workload cost matters most: $0.
- MiniMax M2.7 (free) can replace MiniMax M3 when lower sample workload cost matters most: $0.
- MiniMax M2.5 (free) can replace MiniMax M3 when lower sample workload cost matters most: $0.
- MiniMax-01 can replace MiniMax M3 when lower sample workload cost matters most: $0.75.
- GLM 5.3 Flash offers 1.31M context with $0.24 sample workload cost.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.08 sample workload cost.
- GLM Flash Latest offers 1.31M context with $0.2 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.08 sample workload cost.
- Qwen3.8 Max (0902) · Qwen · #1
- GPT-5.6 Luna · OpenAI · #2
- DeepSeek V4.1 Flash · DeepSeek · #3
- Hy4 preview · Tencent · #4
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 hubsPrismML catalog
Review all tracked PrismML models before deciding whether this matchup is the right shortlist.
Open PrismML modelsMiniMax catalog
Check other MiniMax models with comparable pricing, context, or release timing.
Open MiniMax modelsBonsai 2 27B is a 27B-parameter reasoning model from PrismML derived from Qwen3.8-27B. It supports coding, mathematics, tool calling, and image understanding with a 262K-token context window. Ternary compression shrinks...
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,...