API cost decision in 10 seconds

NewXing4.0 29B A4B (free) vs Pareto 26.10 Preview

Pick Xing4.0 29B A4B (free) for lower cost; pick Pareto 26.10 Preview only if the larger context window matters more.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Xing4.0 29B A4B (free) 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, Xing4.0 29B A4B (free) is estimated at $0 vs $2.4 for Pareto 26.10 Preview, saving $2.4 (100% lower).

Cost-first pickXing4.0 29B A4B (free)
Context-first pickPareto 26.10 Preview
Sample savings$2.4100%
10x traffic gap$24

Pareto 26.10 Preview has more context, but Xing4.0 29B A4B (free) saves $2.4 on the standard workload. At 10x that traffic, the same price gap is about $24. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Xing4.0 29B A4B (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickXing4.0 29B A4B (free)Pareto 26.10 Preview
Input-heavy / RAG5M input + 500K outputXing4.0 29B A4B (free)$0$5.6
Balanced workload1M input + 1M outputXing4.0 29B A4B (free)$0$4
Output-heavy chatbot1M input + 5M outputXing4.0 29B A4B (free)$0$16.8
Cheaper input Xing4.0 29B A4B (free) $0 vs $0.8 / 1M

Xing4.0 29B A4B (free) is free for input tokens while Pareto 26.10 Preview costs $0.8 per 1M tokens.

Cheaper output Xing4.0 29B A4B (free) $0 vs $3.2 / 1M

Xing4.0 29B A4B (free) is free for output tokens while Pareto 26.10 Preview costs $3.2 per 1M tokens.

Larger context Pareto 26.10 Preview 262.14K vs 1.05M

Pareto 26.10 Preview has 786.43K more context (4x larger).

Sample workload Xing4.0 29B A4B (free) $0 vs $2.4

Xing4.0 29B A4B (free) is free for the standard workload while the other model is estimated at $2.4.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Xing4.0 29B A4B (free) 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

Xing4.0 29B A4B (free) has the lower input price; Xing4.0 29B A4B (free) has the lower output price; Pareto 26.10 Preview 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 $2.4 for Pareto 26.10 Preview.

Best Fit

Choose Xing4.0 29B A4B (free) 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, Xing4.0 29B A4B (free) is estimated at $0 vs $2.4 for Pareto 26.10 Preview, saving $2.4 (100% lower).
  • Xing4.0 29B A4B (free) is free for the standard workload while the other model is estimated at $2.4.
  • Xing4.0 29B A4B (free) is free for input tokens while Pareto 26.10 Preview costs $0.8 per 1M tokens.
  • Xing4.0 29B A4B (free) is free for output tokens while Pareto 26.10 Preview costs $3.2 per 1M tokens.
  • Pareto 26.10 Preview has 786.43K more context (4x larger).
Head-to-Head Specs
FeatureNewXing4.0 29B A4B (free)
(XingChen)
Pareto 26.10 Preview
(unbiased)
Input Price
prompt tokens per 1M
$0$0.8
Completion Price
per 1M tokens
$0$3.2
Sample Workload Cost
1M input + 500K output
$0$2.4
Context Window262.14K1.05M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionXing4.0 29B A4B (free)On the standard 1M input plus 500K output workload, Xing4.0 29B A4B (free) is estimated at $0 vs $2.4 for Pareto 26.10 Preview, saving $2.4 (100% lower).
High-volume input processingXing4.0 29B A4B (free)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsXing4.0 29B A4B (free)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workPareto 26.10 PreviewA 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

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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XingChen catalog

Review all tracked XingChen models before deciding whether this matchup is the right shortlist.

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unbiased catalog

Check other unbiased models with comparable pricing, context, or release timing.

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Xing4.0 29B A4B (free)

Xing4.0-29B-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...

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...