Ling 3.0 Flash Fin is $0.09 cheaper per 1M input tokens (60% lower; 2.5x difference).
API cost decision in 10 seconds
NewDeepSeek V4.1 Flash vs Ling 3.0 Flash Fin
Pick Ling 3.0 Flash Fin for lower cost; pick DeepSeek V4.1 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 for lower cost; pick DeepSeek V4.1 Flash only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Ling 3.0 Flash Fin is estimated at $0.15 vs $0.45 for DeepSeek V4.1 Flash, saving $0.3 (66.7% lower).
Cost-first pickLing 3.0 Flash Fin
Context-first pickDeepSeek V4.1 Flash
Sample savings$0.366.7%
10x traffic gap$3
DeepSeek V4.1 Flash has more context, but Ling 3.0 Flash Fin saves $0.3 on the standard workload. At 10x that traffic, the same price gap is about $3. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Ling 3.0 Flash Fin stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | DeepSeek V4.1 Flash | Ling 3.0 Flash Fin |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Ling 3.0 Flash Fin | $1.05 | $0.39 |
| Balanced workload | 1M input + 1M output | Ling 3.0 Flash Fin | $0.75 | $0.24 |
| Output-heavy chatbot | 1M input + 5M output | Ling 3.0 Flash Fin | $3.15 | $0.96 |
Ling 3.0 Flash Fin is $0.42 cheaper per 1M output tokens (70% lower; 3.33x difference).
DeepSeek V4.1 Flash has 786.43K more context (4x larger).
Ling 3.0 Flash Fin is $0.3 cheaper on the standard workload (66.7% lower).
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 has the lower input price; Ling 3.0 Flash Fin has the lower output price; DeepSeek V4.1 Flash offers the larger context window. For the 1M input plus 500K output sample, Ling 3.0 Flash Fin is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.45 for DeepSeek V4.1 Flash and $0.15 for Ling 3.0 Flash Fin.
Choose DeepSeek V4.1 Flash when you care most about larger context window.
Choose Ling 3.0 Flash Fin when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Ling 3.0 Flash Fin is estimated at $0.15 vs $0.45 for DeepSeek V4.1 Flash, saving $0.3 (66.7% lower).
- Ling 3.0 Flash Fin is $0.3 cheaper on the standard workload (66.7% lower).
- Ling 3.0 Flash Fin is $0.09 cheaper per 1M input tokens (60% lower; 2.5x difference).
- Ling 3.0 Flash Fin is $0.42 cheaper per 1M output tokens (70% lower; 3.33x difference).
- DeepSeek V4.1 Flash has 786.43K more context (4x larger).
| Feature | NewDeepSeek V4.1 Flash (DeepSeek) | Ling 3.0 Flash Fin (inclusionAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.15 | $0.06 |
| Completion Price per 1M tokens | $0.6 | $0.18 |
| Sample Workload Cost 1M input + 500K output | $0.45 | $0.15 |
| Context Window | 1.05M | 262.14K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Ling 3.0 Flash Fin | On the standard 1M input plus 500K output workload, Ling 3.0 Flash Fin is estimated at $0.15 vs $0.45 for DeepSeek V4.1 Flash, saving $0.3 (66.7% lower). |
| High-volume input processing | Ling 3.0 Flash Fin | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Ling 3.0 Flash Fin | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | DeepSeek V4.1 Flash | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- DeepSeek V4 Flash (free) can replace DeepSeek V4.1 Flash when lower sample workload cost matters most: $0.
- DeepSeek V4 Flash 0731 can replace DeepSeek V4.1 Flash when lower sample workload cost matters most: $0.08.
- DeepSeek V4 Flash 0423 can replace DeepSeek V4.1 Flash when lower sample workload cost matters most: $0.13.
- DeepSeek V4 Flash Vision Exp (batch) can replace DeepSeek V4.1 Flash when lower sample workload cost matters most: $0.28.
- GLM 5.3 Flash offers 1.31M context with $0.4 sample workload cost.
- 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.
- Hy4 preview · Tencent · #1
- GPT-5.6 Luna · OpenAI · #2
- GLM 5.3 Flash · Z.ai · #3
- DeepSeek V4 Flash 0731 · DeepSeek · #4
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Open inclusionAI modelsDeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...
Ling 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...