Xing4.0 29B A4B (free) is free for input tokens while Solar Pro 4 costs $0.09 per 1M tokens.
API cost decision in 10 seconds
NewXing4.0 29B A4B (free) vs Solar Pro 4
Pick Xing4.0 29B A4B (free) for lower cost; pick Solar Pro 4 only if the larger context window matters more.
Budget verdict
Pick Xing4.0 29B A4B (free) for lower cost; pick Solar Pro 4 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 $0.27 for Solar Pro 4, saving $0.27 (100% lower).
Solar Pro 4 has more context, but Xing4.0 29B A4B (free) saves $0.27 on the standard workload. At 10x that traffic, the same price gap is about $2.7. 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) | Solar Pro 4 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Xing4.0 29B A4B (free) | $0 | $0.63 |
| Balanced workload | 1M input + 1M output | Xing4.0 29B A4B (free) | $0 | $0.45 |
| Output-heavy chatbot | 1M input + 5M output | Xing4.0 29B A4B (free) | $0 | $1.89 |
Xing4.0 29B A4B (free) is free for output tokens while Solar Pro 4 costs $0.36 per 1M tokens.
Solar Pro 4 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 $0.27.
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; Solar Pro 4 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 $0.27 for Solar Pro 4.
Choose Xing4.0 29B A4B (free) when you care most about lower input-token price, and lower output-token price.
Choose Solar Pro 4 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 $0.27 for Solar Pro 4, saving $0.27 (100% lower).
- Xing4.0 29B A4B (free) is free for the standard workload while the other model is estimated at $0.27.
- Xing4.0 29B A4B (free) is free for input tokens while Solar Pro 4 costs $0.09 per 1M tokens.
- Xing4.0 29B A4B (free) is free for output tokens while Solar Pro 4 costs $0.36 per 1M tokens.
- Solar Pro 4 has 262.14K more context (2x larger).
| Feature | NewXing4.0 29B A4B (free) (XingChen) | Solar Pro 4 (Upstage) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $0.09 |
| Completion Price per 1M tokens | $0 | $0.36 |
| Sample Workload Cost 1M input + 500K output | $0 | $0.27 |
| 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 $0.27 for Solar Pro 4, saving $0.27 (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 | Solar Pro 4 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Solar Mini 4 can replace Solar Pro 4 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 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.
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