Extract is $0.03 cheaper per 1M input tokens (45.9% lower; 1.85x difference).
API cost decision in 10 seconds
NewExtract vs Hy-MT2-7B
Pick Extract when budget and context both matter.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Extract when budget and context both matter.
On the standard 1M input plus 500K output workload, Extract is estimated at $0.04 vs $0.22 for Hy-MT2-7B, saving $0.18 (81.9% lower).
Cost-first pickExtract
Context-first pickExtract
Sample savings$0.1881.9%
10x traffic gap$1.81
Extract is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1.81. 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 | Hy-MT2-7B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Extract | $0.2 | $0.52 |
| Balanced workload | 1M input + 1M output | Extract | $0.04 | $0.37 |
| Output-heavy chatbot | 1M input + 5M output | Extract | $0.04 | $1.55 |
Extract is free for output tokens while Hy-MT2-7B costs $0.29 per 1M tokens.
Extract has 991.81K more context (122.1x larger).
Extract is $0.18 cheaper on the standard workload (81.9% 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; Extract 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 $0.22 for Hy-MT2-7B.
Choose Extract when you care most about lower input-token price, lower output-token price, and larger context window.
Choose Hy-MT2-7B when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- On the standard 1M input plus 500K output workload, Extract is estimated at $0.04 vs $0.22 for Hy-MT2-7B, saving $0.18 (81.9% lower).
- Extract is $0.18 cheaper on the standard workload (81.9% lower).
- Extract is $0.03 cheaper per 1M input tokens (45.9% lower; 1.85x difference).
- Extract is free for output tokens while Hy-MT2-7B costs $0.29 per 1M tokens.
- Extract has 991.81K more context (122.1x larger).
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 $0.22 for Hy-MT2-7B, saving $0.18 (81.9% 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 | Extract | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Hy3 (free) can replace Hy-MT2-7B when lower sample workload cost matters most: $0.
- Hy-MT2-1.8B can replace Hy-MT2-7B when lower sample workload cost matters most: $0.13.
- 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.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- Muse Spark 1.3 Contributor offers 1.05M context with $0.2 sample workload cost.
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