Laguna XS 2.1 (free) is free for input tokens while Schematron V2 Small costs $0.05 per 1M tokens.
API cost decision in 10 seconds
NewSchematron V2 Small vs Laguna XS 2.1 (free)
Pick Laguna XS 2.1 (free) when budget and context both matter.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Laguna XS 2.1 (free) when budget and context both matter.
On the standard 1M input plus 500K output workload, Laguna XS 2.1 (free) is estimated at $0 vs $0.17 for Schematron V2 Small, saving $0.17 (100% lower).
Cost-first pickLaguna XS 2.1 (free)
Context-first pickLaguna XS 2.1 (free)
Sample savings$0.17100%
10x traffic gap$1.65
Laguna XS 2.1 (free) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1.65. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Laguna XS 2.1 (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Schematron V2 Small | Laguna XS 2.1 (free) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Laguna XS 2.1 (free) | $0.36 | $0 |
| Balanced workload | 1M input + 1M output | Laguna XS 2.1 (free) | $0.28 | $0 |
| Output-heavy chatbot | 1M input + 5M output | Laguna XS 2.1 (free) | $1.2 | $0 |
Laguna XS 2.1 (free) is free for output tokens while Schematron V2 Small costs $0.23 per 1M tokens.
Laguna XS 2.1 (free) has 134.14K more context (2.05x larger).
Laguna XS 2.1 (free) is free for the standard workload while the other model is estimated at $0.17.
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
Laguna XS 2.1 (free) has the lower input price; Laguna XS 2.1 (free) has the lower output price; Laguna XS 2.1 (free) offers the larger context window. For the 1M input plus 500K output sample, Laguna XS 2.1 (free) is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.17 for Schematron V2 Small and $0 for Laguna XS 2.1 (free).
Choose Schematron V2 Small when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
Choose Laguna XS 2.1 (free) when you care most about lower input-token price, lower output-token price, and larger context window.
- On the standard 1M input plus 500K output workload, Laguna XS 2.1 (free) is estimated at $0 vs $0.17 for Schematron V2 Small, saving $0.17 (100% lower).
- Laguna XS 2.1 (free) is free for the standard workload while the other model is estimated at $0.17.
- Laguna XS 2.1 (free) is free for input tokens while Schematron V2 Small costs $0.05 per 1M tokens.
- Laguna XS 2.1 (free) is free for output tokens while Schematron V2 Small costs $0.23 per 1M tokens.
- Laguna XS 2.1 (free) has 134.14K more context (2.05x larger).
| Feature | NewSchematron V2 Small (Inference.net) | Laguna XS 2.1 (free) (Poolside) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.05 | $0 |
| Completion Price per 1M tokens | $0.23 | $0 |
| Sample Workload Cost 1M input + 500K output | $0.17 | $0 |
| Context Window | 128K | 262.14K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Laguna XS 2.1 (free) | On the standard 1M input plus 500K output workload, Laguna XS 2.1 (free) is estimated at $0 vs $0.17 for Schematron V2 Small, saving $0.17 (100% lower). |
| High-volume input processing | Laguna XS 2.1 (free) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Laguna XS 2.1 (free) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Laguna XS 2.1 (free) | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Schematron V2 Turbo can replace Schematron V2 Small when lower sample workload cost matters most: $0.1.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.08 sample workload cost.
- GLM Flash Latest offers 1.31M context with $0.2 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.08 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- Hy4 preview · Tencent · #1
- GPT-5.6 Luna · OpenAI · #2
- GLM 5.3 Flash · Z.ai · #3
- DeepSeek V4 Flash 0731 · DeepSeek · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsInference.net catalog
Review all tracked Inference.net models before deciding whether this matchup is the right shortlist.
Open Inference.net modelsPoolside catalog
Check other Poolside models with comparable pricing, context, or release timing.
Open Poolside modelsSchematron V2 Small is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes extraction quality for complex schemas and long pages. Extraction instructions must be supplied through a JSON schema...
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...