Ternary Bonsai 2 27B is $1.93 cheaper per 1M input tokens (96.2% lower; 26.7x difference).
API cost decision in 10 seconds
🔥Qwen3.8 Max (0902) vs NewTernary Bonsai 2 27B
Pick Ternary Bonsai 2 27B for lower cost; pick Qwen3.8 Max (0902) 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 Qwen3.8 Max (0902) 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 $5 for Qwen3.8 Max (0902), saving $4.67 (93.5% lower).
Cost-first pickTernary Bonsai 2 27B
Context-first pickQwen3.8 Max (0902)
Sample savings$4.6793.5%
10x traffic gap$46.75
Qwen3.8 Max (0902) has more context, but Ternary Bonsai 2 27B saves $4.67 on the standard workload. At 10x that traffic, the same price gap is about $46.75. 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 | Qwen3.8 Max (0902) | Ternary Bonsai 2 27B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Ternary Bonsai 2 27B | $13 | $0.62 |
| Balanced workload | 1M input + 1M output | Ternary Bonsai 2 27B | $8 | $0.57 |
| Output-heavy chatbot | 1M input + 5M output | Ternary Bonsai 2 27B | $32 | $2.58 |
Ternary Bonsai 2 27B is $5.5 cheaper per 1M output tokens (91.7% lower; 12x difference).
Qwen3.8 Max (0902) has 737.86K more context (3.81x larger).
Ternary Bonsai 2 27B is $4.67 cheaper on the standard workload (93.5% 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; Qwen3.8 Max (0902) 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 $5 for Qwen3.8 Max (0902) and $0.33 for Ternary Bonsai 2 27B.
Choose Qwen3.8 Max (0902) when you care most about larger context window.
Choose Ternary Bonsai 2 27B when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Ternary Bonsai 2 27B is estimated at $0.33 vs $5 for Qwen3.8 Max (0902), saving $4.67 (93.5% lower).
- Ternary Bonsai 2 27B is $4.67 cheaper on the standard workload (93.5% lower).
- Ternary Bonsai 2 27B is $1.93 cheaper per 1M input tokens (96.2% lower; 26.7x difference).
- Ternary Bonsai 2 27B is $5.5 cheaper per 1M output tokens (91.7% lower; 12x difference).
- Qwen3.8 Max (0902) has 737.86K more context (3.81x larger).
| Feature | 🔥Qwen3.8 Max (0902) (Qwen) | NewTernary Bonsai 2 27B (PrismML) |
|---|---|---|
| Input Price prompt tokens per 1M | $2 | $0.075 |
| Completion Price per 1M tokens | $6 | $0.5 |
| Sample Workload Cost 1M input + 500K output | $5 | $0.33 |
| Context Window | 1M | 262.14K |
| Release Date | ||
| Popularity | #1 |
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 $5 for Qwen3.8 Max (0902), saving $4.67 (93.5% 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 | Qwen3.8 Max (0902) | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Qwen3.8 27B (free) can replace Qwen3.8 Max (0902) when lower sample workload cost matters most: $0.
- Qwen3 Next 80B A3B Instruct (free) can replace Qwen3.8 Max (0902) when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3.8 Max (0902) when lower sample workload cost matters most: $0.
- Qwen3.7 Flash can replace Qwen3.8 Max (0902) when lower sample workload cost matters most: $0.1.
- 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.
- 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.
- GPT-5.6 Luna · OpenAI · #2
- DeepSeek V4.1 Flash · DeepSeek · #3
- Hy4 preview · Tencent · #4
- GLM 5.3 Flash · Z.ai · #5
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