API cost decision in 10 seconds
Ling 3.0 Flash Fin (free) vs 🔥DeepSeek V4 Flash 0731
Pick Ling 3.0 Flash Fin (free) for lower cost; pick DeepSeek V4 Flash 0731 only if the larger context window matters more.
Pricing data updated:
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 DeepSeek V4 Flash 0731 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 $0.08 for DeepSeek V4 Flash 0731, saving $0.08 (100% lower).
Cost-first pickLing 3.0 Flash Fin (free)
Context-first pickDeepSeek V4 Flash 0731
Sample savings$0.08100%
10x traffic gap$0.8
DeepSeek V4 Flash 0731 has more context, but Ling 3.0 Flash Fin (free) saves $0.08 on the standard workload. At 10x that traffic, the same price gap is about $0.8. 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) | DeepSeek V4 Flash 0731 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Ling 3.0 Flash Fin (free) | $0 | $0.24 |
| Balanced workload | 1M input + 1M output | Ling 3.0 Flash Fin (free) | $0 | $0.12 |
| Output-heavy chatbot | 1M input + 5M output | Ling 3.0 Flash Fin (free) | $0 | $0.44 |
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, and DeepSeek V4 Flash 0731 offers the larger context window.
For a 1M input token plus 500K output token workload, the estimated API cost is $0 for Ling 3.0 Flash Fin (free) and $0.08 for DeepSeek V4 Flash 0731.
Choose Ling 3.0 Flash Fin (free) when you care most about lower input-token price, and lower output-token price.
Choose DeepSeek V4 Flash 0731 when you care most about larger context window.
| Feature | Ling 3.0 Flash Fin (free) (inclusionAI) | 🔥DeepSeek V4 Flash 0731 (DeepSeek) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $0.04 |
| Completion Price per 1M tokens | $0 | $0.08 |
| Sample Workload Cost 1M input + 500K output | $0 | $0.08 |
| Context Window | 262.14K | 1.31M |
| Release Date | 2026-08-27 | 2026-07-31 |
| Popularity | #4 |
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...
DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....
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 $0.08 for DeepSeek V4 Flash 0731, saving $0.08 (100% lower). |
| High-volume input processing | Ling 3.0 Flash Fin (free) | Lower prompt-token price matters most when prompts or retrieved passages 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 | DeepSeek V4 Flash 0731 | A larger context window leaves more room for retrieved passages and source files. |