Schematron V2 Small is $0.9 cheaper per 1M input tokens (94.7% lower; 19x difference).
API cost decision in 10 seconds
NewSchematron V2 Small vs Sakana Namazu
Pick Schematron V2 Small for lower cost; pick Sakana Namazu only if the larger context window matters more.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Schematron V2 Small for lower cost; pick Sakana Namazu only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Schematron V2 Small is estimated at $0.17 vs $2.95 for Sakana Namazu, saving $2.79 (94.4% lower).
Cost-first pickSchematron V2 Small
Context-first pickSakana Namazu
Sample savings$2.7994.4%
10x traffic gap$27.85
Sakana Namazu has more context, but Schematron V2 Small saves $2.79 on the standard workload. At 10x that traffic, the same price gap is about $27.85. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Schematron V2 Small stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Schematron V2 Small | Sakana Namazu |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Schematron V2 Small | $0.36 | $6.75 |
| Balanced workload | 1M input + 1M output | Schematron V2 Small | $0.28 | $4.95 |
| Output-heavy chatbot | 1M input + 5M output | Schematron V2 Small | $1.2 | $20.95 |
Schematron V2 Small is $3.77 cheaper per 1M output tokens (94.2% lower; 17.4x difference).
Sakana Namazu has 134.14K more context (2.05x larger).
Schematron V2 Small is $2.79 cheaper on the standard workload (94.4% 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
Schematron V2 Small has the lower input price; Schematron V2 Small has the lower output price; Sakana Namazu offers the larger context window. For the 1M input plus 500K output sample, Schematron V2 Small is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.17 for Schematron V2 Small and $2.95 for Sakana Namazu.
Choose Schematron V2 Small when you care most about lower input-token price, and lower output-token price.
Choose Sakana Namazu when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Schematron V2 Small is estimated at $0.17 vs $2.95 for Sakana Namazu, saving $2.79 (94.4% lower).
- Schematron V2 Small is $2.79 cheaper on the standard workload (94.4% lower).
- Schematron V2 Small is $0.9 cheaper per 1M input tokens (94.7% lower; 19x difference).
- Schematron V2 Small is $3.77 cheaper per 1M output tokens (94.2% lower; 17.4x difference).
- Sakana Namazu has 134.14K more context (2.05x larger).
| Feature | NewSchematron V2 Small (Inference.net) | Sakana Namazu (Sakana) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.05 | $0.95 |
| Completion Price per 1M tokens | $0.23 | $4 |
| Sample Workload Cost 1M input + 500K output | $0.17 | $2.95 |
| Context Window | 128K | 262.14K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Schematron V2 Small | On the standard 1M input plus 500K output workload, Schematron V2 Small is estimated at $0.17 vs $2.95 for Sakana Namazu, saving $2.79 (94.4% lower). |
| High-volume input processing | Schematron V2 Small | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Schematron V2 Small | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Sakana Namazu | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Schematron V2 Turbo can replace Schematron V2 Small 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 $0.4 sample workload cost.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.08 sample workload cost.
- Hy4 preview · Tencent · #1
- GPT-5.6 Luna · OpenAI · #2
- GLM 5.3 Flash · Z.ai · #3
- DeepSeek V4 Flash 0731 · DeepSeek · #4
Cheaper alternatives
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