Ling 3.0 Flash Fin (free) is free for input tokens while Qwen3.8 Flash costs $0.15 per 1M tokens.
API cost decision in 10 seconds
NewLing 3.0 Flash Fin (free) vs NewQwen3.8 Flash
Pick Ling 3.0 Flash Fin (free) for lower cost; pick Qwen3.8 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 Ling 3.0 Flash Fin (free) for lower cost; pick Qwen3.8 Flash only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Ling 3.0 Flash Fin (free) is estimated at $0 vs $0.39 for Qwen3.8 Flash, saving $0.39 (100% lower).
Cost-first pickLing 3.0 Flash Fin (free)
Context-first pickQwen3.8 Flash
Sample savings$0.39100%
10x traffic gap$3.85
Qwen3.8 Flash has more context, but Ling 3.0 Flash Fin (free) saves $0.39 on the standard workload. At 10x that traffic, the same price gap is about $3.85. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Ling 3.0 Flash Fin (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Ling 3.0 Flash Fin (free) | Qwen3.8 Flash |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Ling 3.0 Flash Fin (free) | $0 | $0.98 |
| Balanced workload | 1M input + 1M output | Ling 3.0 Flash Fin (free) | $0 | $0.62 |
| Output-heavy chatbot | 1M input + 5M output | Ling 3.0 Flash Fin (free) | $0 | $2.5 |
Ling 3.0 Flash Fin (free) is free for output tokens while Qwen3.8 Flash costs $0.47 per 1M tokens.
Qwen3.8 Flash has 737.86K more context (3.81x larger).
Ling 3.0 Flash Fin (free) is free for the standard workload while the other model is estimated at $0.39.
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
Ling 3.0 Flash Fin (free) has the lower input price; Ling 3.0 Flash Fin (free) has the lower output price; Qwen3.8 Flash offers the larger context window. For the 1M input plus 500K output sample, Ling 3.0 Flash Fin (free) is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0 for Ling 3.0 Flash Fin (free) and $0.39 for Qwen3.8 Flash.
Choose Ling 3.0 Flash Fin (free) when you care most about lower input-token price, and lower output-token price.
Choose Qwen3.8 Flash when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Ling 3.0 Flash Fin (free) is estimated at $0 vs $0.39 for Qwen3.8 Flash, saving $0.39 (100% lower).
- Ling 3.0 Flash Fin (free) is free for the standard workload while the other model is estimated at $0.39.
- Ling 3.0 Flash Fin (free) is free for input tokens while Qwen3.8 Flash costs $0.15 per 1M tokens.
- Ling 3.0 Flash Fin (free) is free for output tokens while Qwen3.8 Flash costs $0.47 per 1M tokens.
- Qwen3.8 Flash has 737.86K more context (3.81x larger).
| Feature | NewLing 3.0 Flash Fin (free) (inclusionAI) | NewQwen3.8 Flash (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $0.15 |
| Completion Price per 1M tokens | $0 | $0.47 |
| Sample Workload Cost 1M input + 500K output | $0 | $0.39 |
| Context Window | 262.14K | 1M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Ling 3.0 Flash Fin (free) | On the standard 1M input plus 500K output workload, Ling 3.0 Flash Fin (free) is estimated at $0 vs $0.39 for Qwen3.8 Flash, saving $0.39 (100% lower). |
| High-volume input processing | Ling 3.0 Flash Fin (free) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Ling 3.0 Flash Fin (free) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Qwen3.8 Flash | 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 Flash when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3.8 Flash when lower sample workload cost matters most: $0.
- Qwen3.7 Flash can replace Qwen3.8 Flash when lower sample workload cost matters most: $0.1.
- Qwen3 30B A3B Instruct 2507 can replace Qwen3.8 Flash when lower sample workload cost matters most: $0.14.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.1 sample workload cost.
- GLM 5.3 Flash offers 1.31M context with $0.2 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.08 sample workload cost.
- Llama 4 Scout offers 1.31M context with $0.28 sample workload cost.
- DeepSeek V4 Flash 0731 · DeepSeek · #1
- MiMo-V2.5 · Xiaomi · #2
- Hy3 · Tencent · #3
- DeepSeek V4 Flash 0423 · DeepSeek · #4
Cheaper alternatives
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Open Qwen modelsLing 3.0 Flash Fin is a finance-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for real-world investment...
Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.