Xing4.0 29B A4B (free) is free for input tokens while Ember-1 costs $3 per 1M tokens.
API cost decision in 10 seconds
NewXing4.0 29B A4B (free) vs Ember-1
Pick Xing4.0 29B A4B (free) for lower cost; pick Ember-1 only if the larger context window matters more.
Budget verdict
Pick Xing4.0 29B A4B (free) for lower cost; pick Ember-1 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 $10.5 for Ember-1, saving $10.5 (100% lower).
Ember-1 has more context, but Xing4.0 29B A4B (free) saves $10.5 on the standard workload. At 10x that traffic, the same price gap is about $105. 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) | Ember-1 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Xing4.0 29B A4B (free) | $0 | $22.5 |
| Balanced workload | 1M input + 1M output | Xing4.0 29B A4B (free) | $0 | $18 |
| Output-heavy chatbot | 1M input + 5M output | Xing4.0 29B A4B (free) | $0 | $78 |
Xing4.0 29B A4B (free) is free for output tokens while Ember-1 costs $15 per 1M tokens.
Ember-1 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 $10.5.
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; Ember-1 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 $10.5 for Ember-1.
Choose Xing4.0 29B A4B (free) when you care most about lower input-token price, and lower output-token price.
Choose Ember-1 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 $10.5 for Ember-1, saving $10.5 (100% lower).
- Xing4.0 29B A4B (free) is free for the standard workload while the other model is estimated at $10.5.
- Xing4.0 29B A4B (free) is free for input tokens while Ember-1 costs $3 per 1M tokens.
- Xing4.0 29B A4B (free) is free for output tokens while Ember-1 costs $15 per 1M tokens.
- Ember-1 has 786.43K more context (4x larger).
| Feature | NewXing4.0 29B A4B (free) (XingChen) | Ember-1 (Fireworks) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $3 |
| Completion Price per 1M tokens | $0 | $15 |
| Sample Workload Cost 1M input + 500K output | $0 | $10.5 |
| 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 $10.5 for Ember-1, saving $10.5 (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 | Ember-1 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- No lower-cost same-provider swap is currently tracked for this pair.
- 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.
- 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.
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Open provider hubsXingChen catalog
Review all tracked XingChen models before deciding whether this matchup is the right shortlist.
Open XingChen modelsFireworks catalog
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Open Fireworks 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...
Ember-1 is a specialized reasoning model from Fireworks Research, built on [Kimi K3](https://openrouter.ai/moonshotai/kimi-k3). It is designed to make every token go further: it produces shorter reasoning traces, using roughly 40%...