Extract is $1.96 cheaper per 1M input tokens (98% lower; 50x difference).
API cost decision in 10 seconds
NewExtract vs GPT Sol Latest
Pick Extract for lower cost; pick GPT Sol Latest only if the larger context window matters more.
Budget verdict
Pick Extract for lower cost; pick GPT Sol Latest only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Extract is estimated at $0.04 vs $7 for GPT Sol Latest, saving $6.96 (99.4% lower).
GPT Sol Latest has more context, but Extract saves $6.96 on the standard workload. At 10x that traffic, the same price gap is about $69.6. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Extract stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Extract | GPT Sol Latest |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Extract | $0.2 | $15 |
| Balanced workload | 1M input + 1M output | Extract | $0.04 | $12 |
| Output-heavy chatbot | 1M input + 5M output | Extract | $0.04 | $52 |
Extract is free for output tokens while GPT Sol Latest costs $10 per 1M tokens.
GPT Sol Latest has 50K more context (1.05x larger).
Extract is $6.96 cheaper on the standard workload (99.4% lower).
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
Extract has the lower input price; Extract has the lower output price; GPT Sol Latest offers the larger context window. For the 1M input plus 500K output sample, Extract is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.04 for Extract and $7 for GPT Sol Latest.
Choose Extract when you care most about lower input-token price, and lower output-token price.
Choose GPT Sol Latest when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Extract is estimated at $0.04 vs $7 for GPT Sol Latest, saving $6.96 (99.4% lower).
- Extract is $6.96 cheaper on the standard workload (99.4% lower).
- Extract is $1.96 cheaper per 1M input tokens (98% lower; 50x difference).
- Extract is free for output tokens while GPT Sol Latest costs $10 per 1M tokens.
- GPT Sol Latest has 50K more context (1.05x larger).
| Feature | NewExtract (ScaleDown) | GPT Sol Latest (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.04 | $2 |
| Completion Price per 1M tokens | $0 | $10 |
| Sample Workload Cost 1M input + 500K output | $0.04 | $7 |
| Context Window | 1M | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Extract | On the standard 1M input plus 500K output workload, Extract is estimated at $0.04 vs $7 for GPT Sol Latest, saving $6.96 (99.4% lower). |
| High-volume input processing | Extract | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Extract | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT Sol Latest | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT Sol Latest when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT Sol Latest when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT Sol Latest when lower sample workload cost matters most: $0.06.
- gpt-oss-20b (batch) can replace GPT Sol Latest when lower sample workload cost matters most: $0.08.
- 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 $0.47 sample workload cost.
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Cheaper alternatives
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Open OpenAI modelsExtract is a description-driven entity extraction model from ScaleDown. Instead of a fixed set of entity types, callers describe the fields they want in plain English through `provider.options.scaledown.entities`, and the...
This model always redirects to the latest model in the GPT Sol family.