Xing4.0 29B A4B (free) is free for input tokens while Muse Wonder costs $4 per 1M tokens.
API cost decision in 10 seconds
NewXing4.0 29B A4B (free) vs NewMuse Wonder
Pick Xing4.0 29B A4B (free) for lower cost; pick Muse Wonder 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 Muse Wonder 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 $14 for Muse Wonder, saving $14 (100% lower).
Cost-first pickXing4.0 29B A4B (free)
Context-first pickMuse Wonder
Sample savings$14100%
10x traffic gap$140
Muse Wonder has more context, but Xing4.0 29B A4B (free) saves $14 on the standard workload. At 10x that traffic, the same price gap is about $140. 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) | Muse Wonder |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Xing4.0 29B A4B (free) | $0 | $30 |
| Balanced workload | 1M input + 1M output | Xing4.0 29B A4B (free) | $0 | $24 |
| Output-heavy chatbot | 1M input + 5M output | Xing4.0 29B A4B (free) | $0 | $104 |
Xing4.0 29B A4B (free) is free for output tokens while Muse Wonder costs $20 per 1M tokens.
Muse Wonder 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 $14.
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; Muse Wonder 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 $14 for Muse Wonder.
Choose Xing4.0 29B A4B (free) when you care most about lower input-token price, and lower output-token price.
Choose Muse Wonder 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 $14 for Muse Wonder, saving $14 (100% lower).
- Xing4.0 29B A4B (free) is free for the standard workload while the other model is estimated at $14.
- Xing4.0 29B A4B (free) is free for input tokens while Muse Wonder costs $4 per 1M tokens.
- Xing4.0 29B A4B (free) is free for output tokens while Muse Wonder costs $20 per 1M tokens.
- Muse Wonder has 786.43K more context (4x larger).
| Feature | NewXing4.0 29B A4B (free) (XingChen) | NewMuse Wonder (Meta) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $4 |
| Completion Price per 1M tokens | $0 | $20 |
| Sample Workload Cost 1M input + 500K output | $0 | $14 |
| 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 $14 for Muse Wonder, saving $14 (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 | Muse Wonder | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Llama 3.3 70B Instruct (free) can replace Muse Wonder when lower sample workload cost matters most: $0.
- Llama 3.2 3B Instruct (free) can replace Muse Wonder when lower sample workload cost matters most: $0.
- Llama 3.1 8B Instruct can replace Muse Wonder when lower sample workload cost matters most: $0.09.
- Llama 3.2 1B Instruct can replace Muse Wonder when lower sample workload cost matters most: $0.13.
- Grok 4.20 Multi-Agent offers 2M context with $2.5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- 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.
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- Step 5 Preview · StepFun · #2
- GLM 5.3 Flash · Z.ai · #3
- MiMo-V2.6-Flash · Xiaomi · #4
Cheaper alternatives
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Open Meta 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...
Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with...