Xing4.0 29B A4B (free) is free for input tokens while GLM 5.3 FlashX costs $0.37 per 1M tokens.
API cost decision in 10 seconds
NewXing4.0 29B A4B (free) vs GLM 5.3 FlashX
Pick Xing4.0 29B A4B (free) for lower cost; pick GLM 5.3 FlashX only if the larger context window matters more.
Budget verdict
Pick Xing4.0 29B A4B (free) for lower cost; pick GLM 5.3 FlashX 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 $0.99 for GLM 5.3 FlashX, saving $0.99 (100% lower).
GLM 5.3 FlashX has more context, but Xing4.0 29B A4B (free) saves $0.99 on the standard workload. At 10x that traffic, the same price gap is about $9.95. 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) | GLM 5.3 FlashX |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Xing4.0 29B A4B (free) | $0 | $2.48 |
| Balanced workload | 1M input + 1M output | Xing4.0 29B A4B (free) | $0 | $1.62 |
| Output-heavy chatbot | 1M input + 5M output | Xing4.0 29B A4B (free) | $0 | $6.62 |
Xing4.0 29B A4B (free) is free for output tokens while GLM 5.3 FlashX costs $1.25 per 1M tokens.
GLM 5.3 FlashX has 786.43K more context (4x larger).
Xing4.0 29B A4B (free) is free for the standard workload while the other model is estimated at $0.99.
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; GLM 5.3 FlashX 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 $0.99 for GLM 5.3 FlashX.
Choose Xing4.0 29B A4B (free) when you care most about lower input-token price, and lower output-token price.
Choose GLM 5.3 FlashX 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 $0.99 for GLM 5.3 FlashX, saving $0.99 (100% lower).
- Xing4.0 29B A4B (free) is free for the standard workload while the other model is estimated at $0.99.
- Xing4.0 29B A4B (free) is free for input tokens while GLM 5.3 FlashX costs $0.37 per 1M tokens.
- Xing4.0 29B A4B (free) is free for output tokens while GLM 5.3 FlashX costs $1.25 per 1M tokens.
- GLM 5.3 FlashX has 786.43K more context (4x larger).
| Feature | NewXing4.0 29B A4B (free) (XingChen) | GLM 5.3 FlashX (Z.ai) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $0.37 |
| Completion Price per 1M tokens | $0 | $1.25 |
| Sample Workload Cost 1M input + 500K output | $0 | $0.99 |
| Context Window | 262.14K | 1.05M |
| 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 $0.99 for GLM 5.3 FlashX, saving $0.99 (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 | GLM 5.3 FlashX | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- GLM 5.2 (free) can replace GLM 5.3 FlashX when lower sample workload cost matters most: $0.
- GLM 4.5 Air (free) can replace GLM 5.3 FlashX when lower sample workload cost matters most: $0.
- GLM 5.3 Flash (batch) can replace GLM 5.3 FlashX when lower sample workload cost matters most: $0.14.
- GLM 4 32B can replace GLM 5.3 FlashX when lower sample workload cost matters most: $0.15.
- 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.
- 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
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 hubsXingChen catalog
Review all tracked XingChen models before deciding whether this matchup is the right shortlist.
Open XingChen modelsZ.ai catalog
Check other Z.ai models with comparable pricing, context, or release timing.
Open Z.ai 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...
GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds of up to 200 tokens/s. Built on the same hybrid sparse and linear attention architecture...