API cost decision in 10 seconds

NewLaguna XS.2 (free) vs Qwen3.5-Flash

Pick Laguna XS.2 (free) for lower cost; pick Qwen3.5-Flash 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 Laguna XS.2 (free) for lower cost; pick Qwen3.5-Flash only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Laguna XS.2 (free) is estimated at $0 vs $0.2 for Qwen3.5-Flash, saving $0.2 (100% lower).

Cost-first pickLaguna XS.2 (free)
Context-first pickQwen3.5-Flash
Sample savings$0.2100%
10x traffic gap$1.95

Qwen3.5-Flash has more context, but Laguna XS.2 (free) saves $0.2 on the standard workload. At 10x that traffic, the same price gap is about $1.95. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Laguna XS.2 (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickLaguna XS.2 (free)Qwen3.5-Flash
Input-heavy / RAG5M input + 500K outputLaguna XS.2 (free)$0$0.46
Balanced workload1M input + 1M outputLaguna XS.2 (free)$0$0.33
Output-heavy chatbot1M input + 5M outputLaguna XS.2 (free)$0$1.36
Cheaper input Laguna XS.2 (free) $0 vs $0.065 / 1M

Laguna XS.2 (free) is free for input tokens while Qwen3.5-Flash costs $0.07 per 1M tokens.

Cheaper output Laguna XS.2 (free) $0 vs $0.26 / 1M

Laguna XS.2 (free) is free for output tokens while Qwen3.5-Flash costs $0.26 per 1M tokens.

Larger context Qwen3.5-Flash 131.07K vs 1M

Qwen3.5-Flash has 868.93K more context (7.63x larger).

Sample workload Laguna XS.2 (free) $0 vs $0.2

Laguna XS.2 (free) is free for the standard workload while the other model is estimated at $0.2.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Laguna XS.2 (free) Calculating… Estimated API cost
Qwen3.5-Flash 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

Laguna XS.2 (free) has the lower input price; Laguna XS.2 (free) has the lower output price; Qwen3.5-Flash offers the larger context window. For the 1M input plus 500K output sample, Laguna XS.2 (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0 for Laguna XS.2 (free) and $0.2 for Qwen3.5-Flash.

Best Fit

Choose Laguna XS.2 (free) when you care most about lower input-token price, and lower output-token price.

Choose Qwen3.5-Flash when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Laguna XS.2 (free) is estimated at $0 vs $0.2 for Qwen3.5-Flash, saving $0.2 (100% lower).
  • Laguna XS.2 (free) is free for the standard workload while the other model is estimated at $0.2.
  • Laguna XS.2 (free) is free for input tokens while Qwen3.5-Flash costs $0.07 per 1M tokens.
  • Laguna XS.2 (free) is free for output tokens while Qwen3.5-Flash costs $0.26 per 1M tokens.
  • Qwen3.5-Flash has 868.93K more context (7.63x larger).
Head-to-Head Specs
FeatureNewLaguna XS.2 (free)
(Poolside)
Qwen3.5-Flash
(Qwen)
Input Price
prompt tokens per 1M
$0$0.065
Completion Price
per 1M tokens
$0$0.26
Sample Workload Cost
1M input + 500K output
$0$0.2
Context Window131.07K1M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionLaguna XS.2 (free)On the standard 1M input plus 500K output workload, Laguna XS.2 (free) is estimated at $0 vs $0.2 for Qwen3.5-Flash, saving $0.2 (100% lower).
High-volume input processingLaguna XS.2 (free)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsLaguna XS.2 (free)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3.5-FlashA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

Poolside catalog

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

Open Poolside models

Qwen catalog

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

Open Qwen models
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Qwen3.5-Flash

The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...