API cost decision in 10 seconds

NewSchematron V2 Turbo vs Laguna XS 2.1

Pick Schematron V2 Turbo for lower cost; pick Laguna XS 2.1 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 Schematron V2 Turbo for lower cost; pick Laguna XS 2.1 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Schematron V2 Turbo is estimated at $0.1 vs $0.12 for Laguna XS 2.1, saving $0.01 (12.5% lower).

Cost-first pickSchematron V2 Turbo
Context-first pickLaguna XS 2.1
Sample savings$0.0112.5%
10x traffic gap$0.15

Laguna XS 2.1 has more context, but Schematron V2 Turbo saves $0.01 on the standard workload. At 10x that traffic, the same price gap is about $0.15. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Schematron V2 Turbo, balanced workload favors Tie, and output-heavy chatbot favors Laguna XS 2.1.

Workload shapeToken mixBetter pickSchematron V2 TurboLaguna XS 2.1
Input-heavy / RAG5M input + 500K outputSchematron V2 Turbo$0.22$0.36
Balanced workload1M input + 1M outputTie$0.18$0.18
Output-heavy chatbot1M input + 5M outputLaguna XS 2.1$0.78$0.66
Cheaper input Schematron V2 Turbo $0.03 vs $0.06 / 1M

Schematron V2 Turbo is $0.03 cheaper per 1M input tokens (50% lower; 2x difference).

Cheaper output Laguna XS 2.1 $0.15 vs $0.12 / 1M

Laguna XS 2.1 is $0.03 cheaper per 1M output tokens (20% lower; 1.25x difference).

Larger context Laguna XS 2.1 128K vs 262.14K

Laguna XS 2.1 has 134.14K more context (2.05x larger).

Sample workload Schematron V2 Turbo $0.1 vs $0.12

Schematron V2 Turbo is $0.01 cheaper on the standard workload (12.5% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Schematron V2 Turbo Calculating… Estimated API cost
Laguna XS 2.1 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

Schematron V2 Turbo has the lower input price; Laguna XS 2.1 has the lower output price; Laguna XS 2.1 offers the larger context window. For the 1M input plus 500K output sample, Schematron V2 Turbo is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.1 for Schematron V2 Turbo and $0.12 for Laguna XS 2.1.

Best Fit

Choose Schematron V2 Turbo when you care most about lower input-token price.

Choose Laguna XS 2.1 when you care most about lower output-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Schematron V2 Turbo is estimated at $0.1 vs $0.12 for Laguna XS 2.1, saving $0.01 (12.5% lower).
  • Schematron V2 Turbo is $0.01 cheaper on the standard workload (12.5% lower).
  • Schematron V2 Turbo is $0.03 cheaper per 1M input tokens (50% lower; 2x difference).
  • Laguna XS 2.1 is $0.03 cheaper per 1M output tokens (20% lower; 1.25x difference).
  • Laguna XS 2.1 has 134.14K more context (2.05x larger).
Head-to-Head Specs
FeatureNewSchematron V2 Turbo
(Inference.net)
Laguna XS 2.1
(Poolside)
Input Price
prompt tokens per 1M
$0.03$0.06
Completion Price
per 1M tokens
$0.15$0.12
Sample Workload Cost
1M input + 500K output
$0.1$0.12
Context Window128K262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionSchematron V2 TurboOn the standard 1M input plus 500K output workload, Schematron V2 Turbo is estimated at $0.1 vs $0.12 for Laguna XS 2.1, saving $0.01 (12.5% lower).
High-volume input processingSchematron V2 TurboLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsLaguna XS 2.1Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workLaguna XS 2.1A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Laguna S 2.1 (free) can replace Laguna XS 2.1 when lower sample workload cost matters most: $0.
  • Laguna XS 2.1 (free) can replace Laguna XS 2.1 when lower sample workload cost matters most: $0.
  • Laguna XS.2 (free) can replace Laguna XS 2.1 when lower sample workload cost matters most: $0.
  • Laguna M.1 (free) can replace Laguna XS 2.1 when lower sample workload cost matters most: $0.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

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

Open provider hubs

Inference.net catalog

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

Open Inference.net models

Poolside catalog

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

Open Poolside models
Schematron V2 Turbo

Schematron V2 Turbo is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes throughput for high-volume extraction workloads. Extraction instructions must be supplied through a JSON schema in response_format rather...

Laguna XS 2.1

Laguna XS 2.1 is the latest coding agent model in the 33B-A3B category from [Poolside](https://poolside.ai/) and a step forward from their Laguna XS.2 model (released in April 2026). It combines...