Schematron V2 Small is $0.01 cheaper per 1M input tokens (16.7% lower; 1.2x difference).
API cost decision in 10 seconds
NewSchematron V2 Small vs NewLing 3.0 Flash VL
Pick Ling 3.0 Flash VL when budget and context both matter.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Ling 3.0 Flash VL when budget and context both matter.
On the standard 1M input plus 500K output workload, Ling 3.0 Flash VL is estimated at $0.15 vs $0.17 for Schematron V2 Small, saving $0.02 (9.1% lower).
Cost-first pickLing 3.0 Flash VL
Context-first pickLing 3.0 Flash VL
Sample savings$0.029.1%
10x traffic gap$0.15
Ling 3.0 Flash VL is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.15. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors Schematron V2 Small, balanced workload favors Ling 3.0 Flash VL, and output-heavy chatbot favors Ling 3.0 Flash VL.
| Workload shape | Token mix | Better pick | Schematron V2 Small | Ling 3.0 Flash VL |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Schematron V2 Small | $0.36 | $0.39 |
| Balanced workload | 1M input + 1M output | Ling 3.0 Flash VL | $0.28 | $0.24 |
| Output-heavy chatbot | 1M input + 5M output | Ling 3.0 Flash VL | $1.2 | $0.96 |
Ling 3.0 Flash VL is $0.05 cheaper per 1M output tokens (21.7% lower; 1.28x difference).
Ling 3.0 Flash VL has 3.07K more context (1.02x larger).
Ling 3.0 Flash VL is $0.02 cheaper on the standard workload (9.1% 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; Ling 3.0 Flash VL has the lower output price; Ling 3.0 Flash VL offers the larger context window. For the 1M input plus 500K output sample, Ling 3.0 Flash VL 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 $0.15 for Ling 3.0 Flash VL.
Choose Schematron V2 Small when you care most about lower input-token price.
Choose Ling 3.0 Flash VL when you care most about lower output-token price, and larger context window.
- On the standard 1M input plus 500K output workload, Ling 3.0 Flash VL is estimated at $0.15 vs $0.17 for Schematron V2 Small, saving $0.02 (9.1% lower).
- Ling 3.0 Flash VL is $0.02 cheaper on the standard workload (9.1% lower).
- Schematron V2 Small is $0.01 cheaper per 1M input tokens (16.7% lower; 1.2x difference).
- Ling 3.0 Flash VL is $0.05 cheaper per 1M output tokens (21.7% lower; 1.28x difference).
- Ling 3.0 Flash VL has 3.07K more context (1.02x larger).
| Feature | NewSchematron V2 Small (Inference.net) | NewLing 3.0 Flash VL (inclusionAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.05 | $0.06 |
| Completion Price per 1M tokens | $0.23 | $0.18 |
| Sample Workload Cost 1M input + 500K output | $0.17 | $0.15 |
| Context Window | 128K | 131.07K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Ling 3.0 Flash VL | On the standard 1M input plus 500K output workload, Ling 3.0 Flash VL is estimated at $0.15 vs $0.17 for Schematron V2 Small, saving $0.02 (9.1% 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 | Ling 3.0 Flash VL | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Ling 3.0 Flash VL | 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.
- Ling 3.0 Flash VL (free) can replace Ling 3.0 Flash VL when lower sample workload cost matters most: $0.
- Ling 3.0 Flash Sante (free) can replace Ling 3.0 Flash VL when lower sample workload cost matters most: $0.
- Ling 3.0 Flash Fin (free) can replace Ling 3.0 Flash VL when lower sample workload cost matters most: $0.
- 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.
- Owl Alpha offers 1.05M context with $0 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
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsInference.net catalog
Review all tracked Inference.net models before deciding whether this matchup is the right shortlist.
Open Inference.net modelsinclusionAI catalog
Check other inclusionAI models with comparable pricing, context, or release timing.
Open inclusionAI modelsSchematron V2 Small is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes extraction quality for complex schemas and long pages. Extraction instructions must be supplied through a JSON schema...
Ling 3.0 Flash VL builds on Ling 3.0 Flash (124B total / 5.5B active MoE from InclusionAI), further strengthening its language capabilities while adding native visual perception and advanced visual...