Ling-2.6-1T is $0.03 cheaper per 1M input tokens (25% lower; 1.33x difference).
API cost decision in 10 seconds
GPT-5.6 Luna Pro (batch) vs Ling-2.6-1T
Pick Ling-2.6-1T for lower cost; pick GPT-5.6 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-2.6-1T for lower cost; pick GPT-5.6 Luna Pro (batch) only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Ling-2.6-1T is estimated at $0.39 vs $0.4 for GPT-5.6 Luna Pro (batch), saving $0.01 (3.1% lower).
Cost-first pickLing-2.6-1T
Context-first pickGPT-5.6 Luna Pro (batch)
Sample savings$0.013.1%
10x traffic gap$0.13
GPT-5.6 Luna Pro (batch) has more context, but Ling-2.6-1T saves $0.01 on the standard workload. At 10x that traffic, the same price gap is about $0.13. 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 Ling-2.6-1T, balanced workload favors Tie, and output-heavy chatbot favors GPT-5.6 Luna Pro (batch).
| Workload shape | Token mix | Better pick | GPT-5.6 Luna Pro (batch) | Ling-2.6-1T |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Ling-2.6-1T | $0.8 | $0.69 |
| Balanced workload | 1M input + 1M output | Tie | $0.7 | $0.7 |
| Output-heavy chatbot | 1M input + 5M output | GPT-5.6 Luna Pro (batch) | $3.1 | $3.2 |
GPT-5.6 Luna Pro (batch) is $0.03 cheaper per 1M output tokens (4% lower; 1.04x difference).
GPT-5.6 Luna Pro (batch) has 787.86K more context (4.01x larger).
Ling-2.6-1T is $0.01 cheaper on the standard workload (3.1% 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-2.6-1T has the lower input price; GPT-5.6 Luna Pro (batch) has the lower output price; GPT-5.6 Luna Pro (batch) offers the larger context window. For the 1M input plus 500K output sample, Ling-2.6-1T is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.4 for GPT-5.6 Luna Pro (batch) and $0.39 for Ling-2.6-1T.
Choose GPT-5.6 Luna Pro (batch) when you care most about lower output-token price, and larger context window.
Choose Ling-2.6-1T when you care most about lower input-token price.
- On the standard 1M input plus 500K output workload, Ling-2.6-1T is estimated at $0.39 vs $0.4 for GPT-5.6 Luna Pro (batch), saving $0.01 (3.1% lower).
- Ling-2.6-1T is $0.01 cheaper on the standard workload (3.1% lower).
- Ling-2.6-1T is $0.03 cheaper per 1M input tokens (25% lower; 1.33x difference).
- GPT-5.6 Luna Pro (batch) is $0.03 cheaper per 1M output tokens (4% lower; 1.04x difference).
- GPT-5.6 Luna Pro (batch) has 787.86K more context (4.01x larger).
| Feature | GPT-5.6 Luna Pro (batch) (OpenAI) | Ling-2.6-1T (inclusionAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.1 | $0.075 |
| Completion Price per 1M tokens | $0.6 | $0.625 |
| Sample Workload Cost 1M input + 500K output | $0.4 | $0.39 |
| Context Window | 1.05M | 262.14K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Ling-2.6-1T | On the standard 1M input plus 500K output workload, Ling-2.6-1T is estimated at $0.39 vs $0.4 for GPT-5.6 Luna Pro (batch), saving $0.01 (3.1% lower). |
| High-volume input processing | Ling-2.6-1T | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | GPT-5.6 Luna Pro (batch) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5.6 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-5.6 Luna Pro (batch) when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-5.6 Luna Pro (batch) when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-5.6 Luna Pro (batch) when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT-5.6 Luna Pro (batch) when lower sample workload cost matters most: $0.12.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.17 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.11 sample workload cost.
- Llama 4 Scout offers 1.31M context with $0.25 sample workload cost.
- DeepSeek V4 Flash 0731 · DeepSeek · #1
- MiMo-V2.5 · Xiaomi · #2
- Hy3 · Tencent · #3
- Ox Alpha · stealth · #4
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Open inclusionAI modelsGPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-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-2.6-1T is an instant (instruct) model from inclusionAI and the company’s trillion-parameter flagship, designed for real-world agents that require fast execution and high efficiency at scale. It uses a “fast...