Xing4.0 29B A4B (free) is free for input tokens while Inkling Small (batch) costs $0.5 per 1M tokens.
API cost decision in 10 seconds
NewXing4.0 29B A4B (free) vs Inkling Small (batch)
Pick Xing4.0 29B A4B (free) for lower cost; pick Inkling Small (batch) 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 Xing4.0 29B A4B (free) for lower cost; pick Inkling Small (batch) only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Xing4.0 29B A4B (free) is estimated at $0 vs $1.1 for Inkling Small (batch), saving $1.1 (100% lower).
Cost-first pickXing4.0 29B A4B (free)
Context-first pickInkling Small (batch)
Sample savings$1.1100%
10x traffic gap$11
Inkling Small (batch) has more context, but Xing4.0 29B A4B (free) saves $1.1 on the standard workload. At 10x that traffic, the same price gap is about $11. 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) | Inkling Small (batch) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Xing4.0 29B A4B (free) | $0 | $3.1 |
| Balanced workload | 1M input + 1M output | Xing4.0 29B A4B (free) | $0 | $1.7 |
| Output-heavy chatbot | 1M input + 5M output | Xing4.0 29B A4B (free) | $0 | $6.5 |
Xing4.0 29B A4B (free) is free for output tokens while Inkling Small (batch) costs $1.2 per 1M tokens.
Inkling Small (batch) has 262.14K more context (2x larger).
Xing4.0 29B A4B (free) is free for the standard workload while the other model is estimated at $1.1.
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; Inkling Small (batch) 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 $1.1 for Inkling Small (batch).
Choose Xing4.0 29B A4B (free) when you care most about lower input-token price, and lower output-token price.
Choose Inkling Small (batch) when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Xing4.0 29B A4B (free) is estimated at $0 vs $1.1 for Inkling Small (batch), saving $1.1 (100% lower).
- Xing4.0 29B A4B (free) is free for the standard workload while the other model is estimated at $1.1.
- Xing4.0 29B A4B (free) is free for input tokens while Inkling Small (batch) costs $0.5 per 1M tokens.
- Xing4.0 29B A4B (free) is free for output tokens while Inkling Small (batch) costs $1.2 per 1M tokens.
- Inkling Small (batch) has 262.14K more context (2x larger).
| Feature | NewXing4.0 29B A4B (free) (XingChen) | Inkling Small (batch) (Thinking Machines) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $0.5 |
| Completion Price per 1M tokens | $0 | $1.2 |
| Sample Workload Cost 1M input + 500K output | $0 | $1.1 |
| Context Window | 262.14K | 524.29K |
| 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 $1.1 for Inkling Small (batch), saving $1.1 (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 | Inkling Small (batch) | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Inkling Small (free) can replace Inkling Small (batch) when lower sample workload cost matters most: $0.
- Inkling (free) can replace Inkling Small (batch) when lower sample workload cost matters most: $0.
- Inkling Small can replace Inkling Small (batch) when lower sample workload cost matters most: $1.05.
- Llama 4 Scout offers 1.31M context with $0.25 sample workload cost.
- MiMo-V2.6-Flash offers 1.05M context with $0.28 sample workload cost.
- GPT-6 Luna offers 1.05M context with $0.35 sample workload cost.
- GPT-6 Luna Pro offers 1.05M context with $0.35 sample workload cost.
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- Step 5 Preview · StepFun · #2
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Cheaper alternatives
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Open Thinking Machines modelsXing4.0-29B-A4B is an open-weight mixture-of-experts language model from China Telecom's AI team (TeleAI) and the successor to the TeleChat series. It has 29B total parameters with 4B active per token...
Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...