Schematron V2 Turbo is $0.55 cheaper per 1M input tokens (94.8% lower; 19.3x difference).
API cost decision in 10 seconds
NewSchematron V2 Turbo vs DeepSeek V4 Pro 0813
Pick Schematron V2 Turbo for lower cost; pick DeepSeek V4 Pro 0813 only if the larger context window matters more.
Budget verdict
Pick Schematron V2 Turbo for lower cost; pick DeepSeek V4 Pro 0813 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 $1.45 for DeepSeek V4 Pro 0813, saving $1.34 (92.7% lower).
DeepSeek V4 Pro 0813 has more context, but Schematron V2 Turbo saves $1.34 on the standard workload. At 10x that traffic, the same price gap is about $13.4. 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 | Schematron V2 Turbo | DeepSeek V4 Pro 0813 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Schematron V2 Turbo | $0.22 | $3.76 |
| Balanced workload | 1M input + 1M output | Schematron V2 Turbo | $0.18 | $2.31 |
| Output-heavy chatbot | 1M input + 5M output | Schematron V2 Turbo | $0.78 | $9.25 |
Schematron V2 Turbo is $1.58 cheaper per 1M output tokens (91.4% lower; 11.6x difference).
DeepSeek V4 Pro 0813 has 920.58K more context (8.19x larger).
Schematron V2 Turbo is $1.34 cheaper on the standard workload (92.7% 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; DeepSeek V4 Pro 0813 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 $0.1 for Schematron V2 Turbo and $1.45 for DeepSeek V4 Pro 0813.
Choose Schematron V2 Turbo when you care most about lower input-token price, and lower output-token price.
Choose DeepSeek V4 Pro 0813 when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Schematron V2 Turbo is estimated at $0.1 vs $1.45 for DeepSeek V4 Pro 0813, saving $1.34 (92.7% lower).
- Schematron V2 Turbo is $1.34 cheaper on the standard workload (92.7% lower).
- Schematron V2 Turbo is $0.55 cheaper per 1M input tokens (94.8% lower; 19.3x difference).
- Schematron V2 Turbo is $1.58 cheaper per 1M output tokens (91.4% lower; 11.6x difference).
- DeepSeek V4 Pro 0813 has 920.58K more context (8.19x larger).
| Feature | NewSchematron V2 Turbo (Inference.net) | DeepSeek V4 Pro 0813 (DeepSeek) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.03 | $0.5782 |
| Completion Price per 1M tokens | $0.15 | $1.7345 |
| Sample Workload Cost 1M input + 500K output | $0.1 | $1.45 |
| Context Window | 128K | 1.05M |
| 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 $1.45 for DeepSeek V4 Pro 0813, saving $1.34 (92.7% 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 | DeepSeek V4 Pro 0813 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- DeepSeek V4 Flash (free) can replace DeepSeek V4 Pro 0813 when lower sample workload cost matters most: $0.
- DeepSeek V4 Flash 0731 can replace DeepSeek V4 Pro 0813 when lower sample workload cost matters most: $0.08.
- DeepSeek V4 Flash 0423 can replace DeepSeek V4 Pro 0813 when lower sample workload cost matters most: $0.13.
- DeepSeek V4 Flash Vision Exp (batch) can replace DeepSeek V4 Pro 0813 when lower sample workload cost matters most: $0.28.
- 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.
- 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.
- 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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Open DeepSeek modelsSchematron V2 Turbo is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes throughput for high-volume extraction workloads. Extraction instructions must be supplied through a JSON schema in response_format rather...
DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.