Ling 3.0 Flash Fin (free) is free for input tokens while Nex-N2-Mini costs $0.03 per 1M tokens.
API cost decision in 10 seconds
NewLing 3.0 Flash Fin (free) vs Nex-N2-Mini
Pick Ling 3.0 Flash Fin (free) when budget is the priority.
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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) when budget is the priority.
On the standard 1M input plus 500K output workload, Ling 3.0 Flash Fin (free) is estimated at $0 vs $0.08 for Nex-N2-Mini, saving $0.08 (100% lower).
Cost-first pickLing 3.0 Flash Fin (free)
Context-first pickBoth models
Sample savings$0.08100%
10x traffic gap$0.75
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $0.75. 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) | Nex-N2-Mini |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Ling 3.0 Flash Fin (free) | $0 | $0.17 |
| 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 | $0.53 |
Ling 3.0 Flash Fin (free) is free for output tokens while Nex-N2-Mini costs $0.1 per 1M tokens.
Both models report the same context window at 262.14K tokens.
Ling 3.0 Flash Fin (free) is free for the standard workload while the other model is estimated at $0.08.
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; both models report the same 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 $0.08 for Nex-N2-Mini.
Choose Ling 3.0 Flash Fin (free) when you care most about lower input-token price, and lower output-token price.
Choose Nex-N2-Mini when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- On the standard 1M input plus 500K output workload, Ling 3.0 Flash Fin (free) is estimated at $0 vs $0.08 for Nex-N2-Mini, saving $0.08 (100% lower).
- Ling 3.0 Flash Fin (free) is free for the standard workload while the other model is estimated at $0.08.
- Ling 3.0 Flash Fin (free) is free for input tokens while Nex-N2-Mini costs $0.03 per 1M tokens.
- Ling 3.0 Flash Fin (free) is free for output tokens while Nex-N2-Mini costs $0.1 per 1M tokens.
- Both models report the same context window at 262.14K tokens.
| Feature | NewLing 3.0 Flash Fin (free) (inclusionAI) | Nex-N2-Mini (Nex AGI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $0.025 |
| Completion Price per 1M tokens | $0 | $0.1 |
| Sample Workload Cost 1M input + 500K output | $0 | $0.08 |
| Context Window | 262.14K | 262.14K |
| 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 $0.08 for Nex-N2-Mini, saving $0.08 (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 | Tie | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Nex-N2-Pro (free) can replace Nex-N2-Mini when lower sample workload cost matters most: $0.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.08 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- Ox Alpha offers 1.05M context with $0 sample workload cost.
- Inkling Small (free) offers 1.05M context with $0 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
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 hubsinclusionAI catalog
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Open inclusionAI modelsNex AGI catalog
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