Laguna XS.2 (free) is free for input tokens while Ling-2.6-flash costs $0.01 per 1M tokens.
API cost decision in 10 seconds
NewLaguna XS.2 (free) vs Ling-2.6-flash
Pick Laguna XS.2 (free) for lower cost; pick Ling-2.6-flash only if the larger context window matters more.
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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 Ling-2.6-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 $0.03 for Ling-2.6-flash, saving $0.03 (100% lower).
Cost-first pickLaguna XS.2 (free)
Context-first pickLing-2.6-flash
Sample savings$0.03100%
10x traffic gap$0.25
Ling-2.6-flash has more context, but Laguna XS.2 (free) saves $0.03 on the standard workload. At 10x that traffic, the same price gap is about $0.25. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Laguna XS.2 (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Laguna XS.2 (free) | Ling-2.6-flash |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Laguna XS.2 (free) | $0 | $0.07 |
| Balanced workload | 1M input + 1M output | Laguna XS.2 (free) | $0 | $0.04 |
| Output-heavy chatbot | 1M input + 5M output | Laguna XS.2 (free) | $0 | $0.16 |
Laguna XS.2 (free) is free for output tokens while Ling-2.6-flash costs $0.03 per 1M tokens.
Ling-2.6-flash has 131.07K more context (2x larger).
Laguna XS.2 (free) is free for the standard workload while the other model is estimated at $0.03.
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 (free) has the lower input price; Laguna XS.2 (free) has the lower output price; Ling-2.6-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 $0.03 for Ling-2.6-flash.
Choose Laguna XS.2 (free) when you care most about lower input-token price, and lower output-token price.
Choose Ling-2.6-flash when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Laguna XS.2 (free) is estimated at $0 vs $0.03 for Ling-2.6-flash, saving $0.03 (100% lower).
- Laguna XS.2 (free) is free for the standard workload while the other model is estimated at $0.03.
- Laguna XS.2 (free) is free for input tokens while Ling-2.6-flash costs $0.01 per 1M tokens.
- Laguna XS.2 (free) is free for output tokens while Ling-2.6-flash costs $0.03 per 1M tokens.
- Ling-2.6-flash has 131.07K more context (2x larger).
| Feature | NewLaguna XS.2 (free) (Poolside) | Ling-2.6-flash (inclusionAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $0.01 |
| Completion Price per 1M tokens | $0 | $0.03 |
| Sample Workload Cost 1M input + 500K output | $0 | $0.03 |
| Context Window | 131.07K | 262.14K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Laguna XS.2 (free) | On the standard 1M input plus 500K output workload, Laguna XS.2 (free) is estimated at $0 vs $0.03 for Ling-2.6-flash, saving $0.03 (100% lower). |
| High-volume input processing | Laguna XS.2 (free) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Laguna XS.2 (free) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Ling-2.6-flash | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- No lower-cost same-provider swap is currently tracked for this pair.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash (free) offers 1.05M context with $0 sample workload cost.
- Lyria 3 Pro Preview offers 1.05M context with $0 sample workload cost.
- Lyria 3 Clip Preview offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
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Open provider hubsPoolside catalog
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Open Poolside modelsinclusionAI catalog
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Ling-2.6-flash is an instant (instruct) model from inclusionAI with 104B total parameters and 7.4B active parameters, designed for real-world agents that require fast responses, strong execution, and high token efficiency....