Ling 3.0 Flash Fin is $0.02 cheaper per 1M input tokens (25% lower; 1.33x difference).
API cost decision in 10 seconds
NewLing 3.0 Flash Fin vs Nemotron 3.5 Lightning
Pick Ling 3.0 Flash Fin 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 when budget is the priority.
On the standard 1M input plus 500K output workload, Ling 3.0 Flash Fin is estimated at $0.15 vs $0.18 for Nemotron 3.5 Lightning, saving $0.03 (16.7% lower).
Cost-first pickLing 3.0 Flash Fin
Context-first pickBoth models
Sample savings$0.0316.7%
10x traffic gap$0.3
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $0.3. 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 | Ling 3.0 Flash Fin | Nemotron 3.5 Lightning |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Ling 3.0 Flash Fin | $0.39 | $0.5 |
| Balanced workload | 1M input + 1M output | Ling 3.0 Flash Fin | $0.24 | $0.28 |
| Output-heavy chatbot | 1M input + 5M output | Ling 3.0 Flash Fin | $0.96 | $1.08 |
Ling 3.0 Flash Fin is $0.02 cheaper per 1M output tokens (10% lower; 1.11x difference).
Both models report the same context window at 262.14K tokens.
Ling 3.0 Flash Fin is $0.03 cheaper on the standard workload (16.7% 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; both models report the same 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 $0.15 for Ling 3.0 Flash Fin and $0.18 for Nemotron 3.5 Lightning.
Choose Ling 3.0 Flash Fin when you care most about lower input-token price, and lower output-token price.
Choose Nemotron 3.5 Lightning 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 is estimated at $0.15 vs $0.18 for Nemotron 3.5 Lightning, saving $0.03 (16.7% lower).
- Ling 3.0 Flash Fin is $0.03 cheaper on the standard workload (16.7% lower).
- Ling 3.0 Flash Fin is $0.02 cheaper per 1M input tokens (25% lower; 1.33x difference).
- Ling 3.0 Flash Fin is $0.02 cheaper per 1M output tokens (10% lower; 1.11x difference).
- Both models report the same context window at 262.14K tokens.
| Feature | NewLing 3.0 Flash Fin (inclusionAI) | Nemotron 3.5 Lightning (NVIDIA) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.06 | $0.08 |
| Completion Price per 1M tokens | $0.18 | $0.2 |
| Sample Workload Cost 1M input + 500K output | $0.15 | $0.18 |
| 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 | On the standard 1M input plus 500K output workload, Ling 3.0 Flash Fin is estimated at $0.15 vs $0.18 for Nemotron 3.5 Lightning, saving $0.03 (16.7% 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 | Tie | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Ling 3.0 Flash Fin (free) can replace Ling 3.0 Flash Fin when lower sample workload cost matters most: $0.
- Ling 3.0 Tiny (free) can replace Ling 3.0 Flash Fin when lower sample workload cost matters most: $0.
- Ling-3.0-flash (free) can replace Ling 3.0 Flash Fin when lower sample workload cost matters most: $0.
- Ling-2.6-flash can replace Ling 3.0 Flash Fin when lower sample workload cost matters most: $0.03.
- GLM 5.3 Flash offers 1.31M context with $0.2 sample workload cost.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.15 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 $0.13 sample workload cost.
- GPT-5.6 Luna · OpenAI · #1
- GLM 5.3 Flash · Z.ai · #2
- DeepSeek V4 Flash 0731 · DeepSeek · #3
- Hy4 preview · Tencent · #4
Cheaper alternatives
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Open cheapest modelsLarger context alternatives
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Open provider hubsinclusionAI catalog
Review all tracked inclusionAI models before deciding whether this matchup is the right shortlist.
Open inclusionAI modelsNVIDIA catalog
Check other NVIDIA models with comparable pricing, context, or release timing.
Open NVIDIA 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...
NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total. It is suited for high-throughput agentic workloads and specialized tasks that...