API cost decision in 10 seconds

NewSummarize vs NewPareto 26.10 Preview

Pick Summarize for lower cost; pick Pareto 26.10 Preview only if the larger context window matters more.

Page updated: 2026-10-13T13:12:15Z Data confirmed: 2026-10-15T01:07:46Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Summarize for lower cost; pick Pareto 26.10 Preview only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Summarize is estimated at $0.04 vs $2.4 for Pareto 26.10 Preview, saving $2.36 (98.3% lower).

Cost-first pickSummarize

Context-first pickPareto 26.10 Preview

Sample savings$2.3698.3%

10x traffic gap$23.6

Pareto 26.10 Preview has more context, but Summarize saves $2.36 on the standard workload. At 10x that traffic, the same price gap is about $23.6. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Summarize stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Summarize	Pareto 26.10 Preview
Input-heavy / RAG	5M input + 500K output	Summarize	$0.2	$5.6
Balanced workload	1M input + 1M output	Summarize	$0.04	$4
Output-heavy chatbot	1M input + 5M output	Summarize	$0.04	$16.8

Cheaper input Summarize $0.04 vs $0.8 / 1M

Summarize is $0.76 cheaper per 1M input tokens (95% lower; 20x difference).

Cheaper output Summarize $0 vs $3.2 / 1M

Summarize is free for output tokens while Pareto 26.10 Preview costs $3.2 per 1M tokens.

Larger context Pareto 26.10 Preview 1M vs 1.05M

Pareto 26.10 Preview has 48.58K more context (1.05x larger).

Sample workload Summarize $0.04 vs $2.4

Summarize is $2.36 cheaper on the standard workload (98.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Summarize Calculating… Estimated API cost

Pareto 26.10 Preview Calculating… Estimated API cost

Cheaper for this workload Calculating… Difference: calculating…

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

Verdict

Summarize has the lower input price; Summarize has the lower output price; Pareto 26.10 Preview offers the larger context window. For the 1M input plus 500K output sample, Summarize 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 $2.4 for Pareto 26.10 Preview.

Best Fit

Choose Summarize when you care most about lower input-token price, and lower output-token price.

Choose Pareto 26.10 Preview when you care most about larger context window.

Decision Notes

On the standard 1M input plus 500K output workload, Summarize is estimated at $0.04 vs $2.4 for Pareto 26.10 Preview, saving $2.36 (98.3% lower).
Summarize is $2.36 cheaper on the standard workload (98.3% lower).
Summarize is $0.76 cheaper per 1M input tokens (95% lower; 20x difference).
Summarize is free for output tokens while Pareto 26.10 Preview costs $3.2 per 1M tokens.
Pareto 26.10 Preview has 48.58K more context (1.05x larger).

Head-to-Head Specs

Feature	NewSummarize (ScaleDown)	NewPareto 26.10 Preview (unbiased)
Input Price prompt tokens per 1M	$0.04	$0.8
Completion Price per 1M tokens	$0	$3.2
Sample Workload Cost 1M input + 500K output	$0.04	$2.4
Context Window	1M	1.05M
Release Date	2026-10-13	2026-10-01

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Summarize	On the standard 1M input plus 500K output workload, Summarize is estimated at $0.04 vs $2.4 for Pareto 26.10 Preview, saving $2.36 (98.3% lower).
High-volume input processing	Summarize	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Summarize	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Pareto 26.10 Preview	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

No lower-cost same-provider swap is currently tracked for this pair.

Larger context near this budget

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.
MiMo-V2.6-Flash offers 1.05M context with $0.28 sample workload cost.

Popular competitors

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Cheaper alternatives

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Provider catalogs

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ScaleDown catalog

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unbiased catalog

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Summarize

Summarize is an abstractive summarization model from ScaleDown. It condenses long text and documents into a fluent, faithful rewrite rather than lifting sentences from the source, and is suited for...

Pareto 26.10 Preview

Pareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks. This is a preview of the...