Union Alpha is free for input tokens while Summarize costs $0.04 per 1M tokens.
API cost decision in 10 seconds
NewSummarize vs Union Alpha
Pick Union Alpha for lower cost; pick Summarize only if the larger context window matters more.
Budget verdict
Pick Union Alpha for lower cost; pick Summarize only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Union Alpha is estimated at $0 vs $0.04 for Summarize, saving $0.04 (100% lower).
Summarize has more context, but Union Alpha saves $0.04 on the standard workload. At 10x that traffic, the same price gap is about $0.4. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Union Alpha stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Summarize | Union Alpha |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Union Alpha | $0.2 | $0 |
| Balanced workload | 1M input + 1M output | Union Alpha | $0.04 | $0 |
| Output-heavy chatbot | 1M input + 5M output | Union Alpha | $0.04 | $0 |
Both models report the same output price at $0 per 1M tokens.
Summarize has 737.86K more context (3.81x larger).
Union Alpha is free for the standard workload while the other model is estimated at $0.04.
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
Union Alpha has the lower input price; both models tie on output price; Summarize offers the larger context window. For the 1M input plus 500K output sample, Union Alpha is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.04 for Summarize and $0 for Union Alpha.
Choose Summarize when you care most about larger context window.
Choose Union Alpha when you care most about lower input-token price.
- On the standard 1M input plus 500K output workload, Union Alpha is estimated at $0 vs $0.04 for Summarize, saving $0.04 (100% lower).
- Union Alpha is free for the standard workload while the other model is estimated at $0.04.
- Union Alpha is free for input tokens while Summarize costs $0.04 per 1M tokens.
- Both models report the same output price at $0 per 1M tokens.
- Summarize has 737.86K more context (3.81x larger).
| Feature | NewSummarize (ScaleDown) | Union Alpha (stealth) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.04 | $0 |
| Completion Price per 1M tokens | $0 | $0 |
| Sample Workload Cost 1M input + 500K output | $0.04 | $0 |
| Context Window | 1M | 262.14K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Union Alpha | On the standard 1M input plus 500K output workload, Union Alpha is estimated at $0 vs $0.04 for Summarize, saving $0.04 (100% lower). |
| High-volume input processing | Union Alpha | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Tie | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Summarize | 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.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- Ox Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash 0731 (free) offers 1.05M context with $0 sample workload cost.
- Inkling Small (free) offers 1.05M context with $0 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 hubsScaleDown catalog
Review all tracked ScaleDown models before deciding whether this matchup is the right shortlist.
Open ScaleDown modelsstealth catalog
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