API cost decision in 10 seconds

🔥DeepSeek V4 Flash 0423 vs NewSchematron V2 Turbo

Pick Schematron V2 Turbo for lower cost; pick DeepSeek V4 Flash 0423 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 Schematron V2 Turbo for lower cost; pick DeepSeek V4 Flash 0423 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 $0.13 for DeepSeek V4 Flash 0423, saving $0.03 (21.4% lower).

Cost-first pickSchematron V2 Turbo
Context-first pickDeepSeek V4 Flash 0423
Sample savings$0.0321.4%
10x traffic gap$0.29

DeepSeek V4 Flash 0423 has more context, but Schematron V2 Turbo saves $0.03 on the standard workload. At 10x that traffic, the same price gap is about $0.29. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Schematron V2 Turbo, balanced workload favors Schematron V2 Turbo, and output-heavy chatbot favors DeepSeek V4 Flash 0423.

Workload shapeToken mixBetter pickDeepSeek V4 Flash 0423Schematron V2 Turbo
Input-heavy / RAG5M input + 500K outputSchematron V2 Turbo$0.4$0.22
Balanced workload1M input + 1M outputSchematron V2 Turbo$0.2$0.18
Output-heavy chatbot1M input + 5M outputDeepSeek V4 Flash 0423$0.73$0.78
Cheaper input Schematron V2 Turbo $0.0668 vs $0.03 / 1M

Schematron V2 Turbo is $0.04 cheaper per 1M input tokens (55.1% lower; 2.23x difference).

Cheaper output DeepSeek V4 Flash 0423 $0.1336 vs $0.15 / 1M

DeepSeek V4 Flash 0423 is $0.02 cheaper per 1M output tokens (10.9% lower; 1.12x difference).

Larger context DeepSeek V4 Flash 0423 1.05M vs 128K

DeepSeek V4 Flash 0423 has 920.58K more context (8.19x larger).

Sample workload Schematron V2 Turbo $0.13 vs $0.1

Schematron V2 Turbo is $0.03 cheaper on the standard workload (21.4% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
DeepSeek V4 Flash 0423 Calculating… Estimated API cost
Schematron V2 Turbo Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

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

Verdict

Schematron V2 Turbo has the lower input price; DeepSeek V4 Flash 0423 has the lower output price; DeepSeek V4 Flash 0423 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 $0.13 for DeepSeek V4 Flash 0423 and $0.1 for Schematron V2 Turbo.

Best Fit

Choose DeepSeek V4 Flash 0423 when you care most about lower output-token price, and larger context window.

Choose Schematron V2 Turbo when you care most about lower input-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Schematron V2 Turbo is estimated at $0.1 vs $0.13 for DeepSeek V4 Flash 0423, saving $0.03 (21.4% lower).
  • Schematron V2 Turbo is $0.03 cheaper on the standard workload (21.4% lower).
  • Schematron V2 Turbo is $0.04 cheaper per 1M input tokens (55.1% lower; 2.23x difference).
  • DeepSeek V4 Flash 0423 is $0.02 cheaper per 1M output tokens (10.9% lower; 1.12x difference).
  • DeepSeek V4 Flash 0423 has 920.58K more context (8.19x larger).
Head-to-Head Specs
Feature🔥DeepSeek V4 Flash 0423
(DeepSeek)
NewSchematron V2 Turbo
(Inference.net)
Input Price
prompt tokens per 1M
$0.0668$0.03
Completion Price
per 1M tokens
$0.1336$0.15
Sample Workload Cost
1M input + 500K output
$0.13$0.1
Context Window1.05M128K
Release Date
Popularity#6

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionSchematron V2 TurboOn the standard 1M input plus 500K output workload, Schematron V2 Turbo is estimated at $0.1 vs $0.13 for DeepSeek V4 Flash 0423, saving $0.03 (21.4% lower).
High-volume input processingSchematron V2 TurboLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsDeepSeek V4 Flash 0423Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workDeepSeek V4 Flash 0423A larger context window leaves more room for retrieved passages, conversation history, or source files.

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Provider catalogs

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DeepSeek catalog

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Inference.net catalog

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DeepSeek V4 Flash 0423

DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and...

Schematron V2 Turbo

Schematron 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...