Schematron V2 Turbo is $0.02 cheaper per 1M input tokens (40% lower; 1.67x difference).
API cost decision in 10 seconds
NewSolar Mini 4 vs Schematron V2 Turbo
Pick Schematron V2 Turbo for lower cost; pick Solar Mini 4 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 Turbo for lower cost; pick Solar Mini 4 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Schematron V2 Turbo is estimated at $0.1 vs $0.15 for Solar Mini 4, saving $0.05 (30% lower).
Cost-first pickSchematron V2 Turbo
Context-first pickSolar Mini 4
Sample savings$0.0530%
10x traffic gap$0.45
Solar Mini 4 has more context, but Schematron V2 Turbo saves $0.05 on the standard workload. At 10x that traffic, the same price gap is about $0.45. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Schematron V2 Turbo stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Solar Mini 4 | Schematron V2 Turbo |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Schematron V2 Turbo | $0.35 | $0.22 |
| Balanced workload | 1M input + 1M output | Schematron V2 Turbo | $0.25 | $0.18 |
| Output-heavy chatbot | 1M input + 5M output | Schematron V2 Turbo | $1.05 | $0.78 |
Schematron V2 Turbo is $0.05 cheaper per 1M output tokens (25% lower; 1.33x difference).
Solar Mini 4 has 396.29K more context (4.1x larger).
Schematron V2 Turbo is $0.05 cheaper on the standard workload (30% 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 Turbo has the lower input price; Schematron V2 Turbo has the lower output price; Solar Mini 4 offers the larger context window. For the 1M input plus 500K output sample, Schematron V2 Turbo is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.15 for Solar Mini 4 and $0.1 for Schematron V2 Turbo.
Choose Solar Mini 4 when you care most about larger context window.
Choose Schematron V2 Turbo when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Schematron V2 Turbo is estimated at $0.1 vs $0.15 for Solar Mini 4, saving $0.05 (30% lower).
- Schematron V2 Turbo is $0.05 cheaper on the standard workload (30% lower).
- Schematron V2 Turbo is $0.02 cheaper per 1M input tokens (40% lower; 1.67x difference).
- Schematron V2 Turbo is $0.05 cheaper per 1M output tokens (25% lower; 1.33x difference).
- Solar Mini 4 has 396.29K more context (4.1x larger).
| Feature | NewSolar Mini 4 (Upstage) | Schematron V2 Turbo (Inference.net) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.05 | $0.03 |
| Completion Price per 1M tokens | $0.2 | $0.15 |
| Sample Workload Cost 1M input + 500K output | $0.15 | $0.1 |
| Context Window | 524.29K | 128K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Schematron V2 Turbo | On the standard 1M input plus 500K output workload, Schematron V2 Turbo is estimated at $0.1 vs $0.15 for Solar Mini 4, saving $0.05 (30% lower). |
| High-volume input processing | Schematron V2 Turbo | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Schematron V2 Turbo | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Solar Mini 4 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- No lower-cost same-provider swap is currently tracked for this pair.
- GPT-6 Luna Pro (batch) offers 1.05M context with $0.17 sample workload cost.
- GPT-6 Luna (batch) offers 1.05M context with $0.17 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash 0423 offers 1.05M context with $0.18 sample workload cost.
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- GLM 5.3 Flash · Z.ai · #2
- DeepSeek V4.1 Flash · DeepSeek · #3
- Hy4 preview · Tencent · #4
Cheaper alternatives
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