Xing4.0 29B A4B (free) is free for input tokens while Schematron V2 Small costs $0.05 per 1M tokens.
API cost decision in 10 seconds
NewXing4.0 29B A4B (free) vs Schematron V2 Small
Pick Xing4.0 29B A4B (free) when budget and context both matter.
Budget verdict
Pick Xing4.0 29B A4B (free) when budget and context both matter.
On the standard 1M input plus 500K output workload, Xing4.0 29B A4B (free) is estimated at $0 vs $0.17 for Schematron V2 Small, saving $0.17 (100% lower).
Xing4.0 29B A4B (free) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1.65. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Xing4.0 29B A4B (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Xing4.0 29B A4B (free) | Schematron V2 Small |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Xing4.0 29B A4B (free) | $0 | $0.36 |
| Balanced workload | 1M input + 1M output | Xing4.0 29B A4B (free) | $0 | $0.28 |
| Output-heavy chatbot | 1M input + 5M output | Xing4.0 29B A4B (free) | $0 | $1.2 |
Xing4.0 29B A4B (free) is free for output tokens while Schematron V2 Small costs $0.23 per 1M tokens.
Xing4.0 29B A4B (free) has 134.14K more context (2.05x larger).
Xing4.0 29B A4B (free) is free for the standard workload while the other model is estimated at $0.17.
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
Xing4.0 29B A4B (free) has the lower input price; Xing4.0 29B A4B (free) has the lower output price; Xing4.0 29B A4B (free) offers the larger context window. For the 1M input plus 500K output sample, Xing4.0 29B A4B (free) is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0 for Xing4.0 29B A4B (free) and $0.17 for Schematron V2 Small.
Choose Xing4.0 29B A4B (free) when you care most about lower input-token price, lower output-token price, and larger context window.
Choose Schematron V2 Small when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- On the standard 1M input plus 500K output workload, Xing4.0 29B A4B (free) is estimated at $0 vs $0.17 for Schematron V2 Small, saving $0.17 (100% lower).
- Xing4.0 29B A4B (free) is free for the standard workload while the other model is estimated at $0.17.
- Xing4.0 29B A4B (free) is free for input tokens while Schematron V2 Small costs $0.05 per 1M tokens.
- Xing4.0 29B A4B (free) is free for output tokens while Schematron V2 Small costs $0.23 per 1M tokens.
- Xing4.0 29B A4B (free) has 134.14K more context (2.05x larger).
| Feature | NewXing4.0 29B A4B (free) (XingChen) | Schematron V2 Small (Inference.net) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $0.05 |
| Completion Price per 1M tokens | $0 | $0.23 |
| Sample Workload Cost 1M input + 500K output | $0 | $0.17 |
| Context Window | 262.14K | 128K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Xing4.0 29B A4B (free) | On the standard 1M input plus 500K output workload, Xing4.0 29B A4B (free) is estimated at $0 vs $0.17 for Schematron V2 Small, saving $0.17 (100% lower). |
| High-volume input processing | Xing4.0 29B A4B (free) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Xing4.0 29B A4B (free) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Xing4.0 29B A4B (free) | 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.
- 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 V4.1 Flash (batch) offers 1.05M context with $0.12 sample workload cost.
- DeepSeek V4.1 Flash · DeepSeek · #1
- Step 5 Preview · StepFun · #2
- GLM 5.3 Flash · Z.ai · #3
- MiMo-V2.6-Flash · Xiaomi · #4
Cheaper alternatives
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