GPT-6 Luna Pro (batch) is $0.01 cheaper per 1M input tokens (16.7% lower; 1.2x difference).
API cost decision in 10 seconds
NewGPT-6 Luna Pro (batch) vs Ling 3.0 Flash Fin
Pick Ling 3.0 Flash Fin for lower cost; pick GPT-6 Luna Pro (batch) only if the larger context window matters more.
Page updated:
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 GPT-6 Luna Pro (batch) 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 $0.17 for GPT-6 Luna Pro (batch), saving $0.02 (14.3% lower).
Cost-first pickLing 3.0 Flash Fin
Context-first pickGPT-6 Luna Pro (batch)
Sample savings$0.0214.3%
10x traffic gap$0.25
GPT-6 Luna Pro (batch) has more context, but Ling 3.0 Flash Fin saves $0.02 on the standard workload. At 10x that traffic, the same price gap is about $0.25. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors GPT-6 Luna Pro (batch), balanced workload favors Ling 3.0 Flash Fin, and output-heavy chatbot favors Ling 3.0 Flash Fin.
| Workload shape | Token mix | Better pick | GPT-6 Luna Pro (batch) | Ling 3.0 Flash Fin |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | GPT-6 Luna Pro (batch) | $0.38 | $0.39 |
| Balanced workload | 1M input + 1M output | Ling 3.0 Flash Fin | $0.3 | $0.24 |
| Output-heavy chatbot | 1M input + 5M output | Ling 3.0 Flash Fin | $1.3 | $0.96 |
Ling 3.0 Flash Fin is $0.07 cheaper per 1M output tokens (28% lower; 1.39x difference).
GPT-6 Luna Pro (batch) has 787.86K more context (4.01x larger).
Ling 3.0 Flash Fin is $0.02 cheaper on the standard workload (14.3% 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
GPT-6 Luna Pro (batch) has the lower input price; Ling 3.0 Flash Fin has the lower output price; GPT-6 Luna Pro (batch) 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 $0.17 for GPT-6 Luna Pro (batch) and $0.15 for Ling 3.0 Flash Fin.
Choose GPT-6 Luna Pro (batch) when you care most about lower input-token price, and larger context window.
Choose Ling 3.0 Flash Fin when you care most about lower output-token price.
- On the standard 1M input plus 500K output workload, Ling 3.0 Flash Fin is estimated at $0.15 vs $0.17 for GPT-6 Luna Pro (batch), saving $0.02 (14.3% lower).
- Ling 3.0 Flash Fin is $0.02 cheaper on the standard workload (14.3% lower).
- GPT-6 Luna Pro (batch) is $0.01 cheaper per 1M input tokens (16.7% lower; 1.2x difference).
- Ling 3.0 Flash Fin is $0.07 cheaper per 1M output tokens (28% lower; 1.39x difference).
- GPT-6 Luna Pro (batch) has 787.86K more context (4.01x larger).
| Feature | NewGPT-6 Luna Pro (batch) (OpenAI) | Ling 3.0 Flash Fin (inclusionAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.05 | $0.06 |
| Completion Price per 1M tokens | $0.25 | $0.18 |
| Sample Workload Cost 1M input + 500K output | $0.17 | $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 $0.17 for GPT-6 Luna Pro (batch), saving $0.02 (14.3% lower). |
| High-volume input processing | GPT-6 Luna Pro (batch) | 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 | GPT-6 Luna Pro (batch) | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT-6 Luna Pro (batch) when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-6 Luna Pro (batch) when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-6 Luna Pro (batch) when lower sample workload cost matters most: $0.06.
- gpt-oss-20b (batch) can replace GPT-6 Luna Pro (batch) when lower sample workload cost matters most: $0.08.
- GLM Flash Latest offers 1.31M context with $0.2 sample workload cost.
- MiMo-V2.6-Pro · Xiaomi · #1
- Qwen3.8 Max (0902) · Qwen · #2
- DeepSeek V4.1 Flash · DeepSeek · #3
- GLM 5.3 Flash · Z.ai · #4
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Open inclusionAI modelsGPT-6 Luna Pro is the same underlying model as [GPT-6 Luna](https://openrouter.ai/openai/gpt-6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
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...