Laguna M.1 (free) is free for input tokens while Qwen3.8 27B costs $0.4 per 1M tokens.
API cost decision in 10 seconds
NewQwen3.8 27B vs Laguna M.1 (free)
Pick Laguna M.1 (free) for lower cost; pick Qwen3.8 27B only if the larger context window matters more.
Budget verdict
Pick Laguna M.1 (free) for lower cost; pick Qwen3.8 27B only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Laguna M.1 (free) is estimated at $0 vs $1.9 for Qwen3.8 27B, saving $1.9 (100% lower).
Qwen3.8 27B has more context, but Laguna M.1 (free) saves $1.9 on the standard workload. At 10x that traffic, the same price gap is about $19. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Laguna M.1 (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3.8 27B | Laguna M.1 (free) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Laguna M.1 (free) | $3.5 | $0 |
| Balanced workload | 1M input + 1M output | Laguna M.1 (free) | $3.4 | $0 |
| Output-heavy chatbot | 1M input + 5M output | Laguna M.1 (free) | $15.4 | $0 |
Laguna M.1 (free) is free for output tokens while Qwen3.8 27B costs $3 per 1M tokens.
Qwen3.8 27B has 737.86K more context (3.81x larger).
Laguna M.1 (free) is free for the standard workload while the other model is estimated at $1.9.
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 M.1 (free) has the lower input price; Laguna M.1 (free) has the lower output price; Qwen3.8 27B offers the larger context window. For the 1M input plus 500K output sample, Laguna M.1 (free) is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $1.9 for Qwen3.8 27B and $0 for Laguna M.1 (free).
Choose Qwen3.8 27B when you care most about larger context window.
Choose Laguna M.1 (free) when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Laguna M.1 (free) is estimated at $0 vs $1.9 for Qwen3.8 27B, saving $1.9 (100% lower).
- Laguna M.1 (free) is free for the standard workload while the other model is estimated at $1.9.
- Laguna M.1 (free) is free for input tokens while Qwen3.8 27B costs $0.4 per 1M tokens.
- Laguna M.1 (free) is free for output tokens while Qwen3.8 27B costs $3 per 1M tokens.
- Qwen3.8 27B has 737.86K more context (3.81x larger).
| Feature | NewQwen3.8 27B (Qwen) | Laguna M.1 (free) (Poolside) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.4 | $0 |
| Completion Price per 1M tokens | $3 | $0 |
| Sample Workload Cost 1M input + 500K output | $1.9 | $0 |
| Context Window | 1M | 262.14K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Laguna M.1 (free) | On the standard 1M input plus 500K output workload, Laguna M.1 (free) is estimated at $0 vs $1.9 for Qwen3.8 27B, saving $1.9 (100% lower). |
| High-volume input processing | Laguna M.1 (free) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Laguna M.1 (free) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Qwen3.8 27B | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Qwen3 Next 80B A3B Instruct (free) can replace Qwen3.8 27B when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3.8 27B when lower sample workload cost matters most: $0.
- Qwen3.7 Flash can replace Qwen3.8 27B when lower sample workload cost matters most: $0.1.
- Qwen3 30B A3B Instruct 2507 can replace Qwen3.8 27B when lower sample workload cost matters most: $0.14.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.17 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.11 sample workload cost.
- Llama 4 Scout offers 1.31M context with $0.25 sample workload cost.
- MiMo-V2.5 offers 1.05M context with $0.28 sample workload cost.
- DeepSeek V4 Flash 0731 · DeepSeek · #1
- MiMo-V2.5 · Xiaomi · #2
- Hy3 · Tencent · #3
- Ox Alpha · stealth · #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 hubsQwen catalog
Review all tracked Qwen models before deciding whether this matchup is the right shortlist.
Open Qwen modelsPoolside catalog
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