Ling-2.6-1T is $1.18 cheaper per 1M input tokens (94% lower; 16.7x difference).
API cost decision in 10 seconds
Ling-2.6-1T vs GPT-5.1-Codex-Max
Pick Ling-2.6-1T for lower cost; pick GPT-5.1-Codex-Max 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-2.6-1T for lower cost; pick GPT-5.1-Codex-Max 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 $6.25 for GPT-5.1-Codex-Max, saving $5.86 (93.8% lower).
Cost-first pickLing-2.6-1T
Context-first pickGPT-5.1-Codex-Max
Sample savings$5.8693.8%
10x traffic gap$58.62
GPT-5.1-Codex-Max has more context, but Ling-2.6-1T saves $5.86 on the standard workload. At 10x that traffic, the same price gap is about $58.62. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Ling-2.6-1T stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Ling-2.6-1T | GPT-5.1-Codex-Max |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Ling-2.6-1T | $0.69 | $11.25 |
| Balanced workload | 1M input + 1M output | Ling-2.6-1T | $0.7 | $11.25 |
| Output-heavy chatbot | 1M input + 5M output | Ling-2.6-1T | $3.2 | $51.25 |
Ling-2.6-1T is $9.38 cheaper per 1M output tokens (93.8% lower; 16x difference).
GPT-5.1-Codex-Max has 137.86K more context (1.53x larger).
Ling-2.6-1T is $5.86 cheaper on the standard workload (93.8% 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; Ling-2.6-1T has the lower output price; GPT-5.1-Codex-Max 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 $0.39 for Ling-2.6-1T and $6.25 for GPT-5.1-Codex-Max.
Choose Ling-2.6-1T when you care most about lower input-token price, and lower output-token price.
Choose GPT-5.1-Codex-Max when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Ling-2.6-1T is estimated at $0.39 vs $6.25 for GPT-5.1-Codex-Max, saving $5.86 (93.8% lower).
- Ling-2.6-1T is $5.86 cheaper on the standard workload (93.8% lower).
- Ling-2.6-1T is $1.18 cheaper per 1M input tokens (94% lower; 16.7x difference).
- Ling-2.6-1T is $9.38 cheaper per 1M output tokens (93.8% lower; 16x difference).
- GPT-5.1-Codex-Max has 137.86K more context (1.53x larger).
| Feature | Ling-2.6-1T (inclusionAI) | GPT-5.1-Codex-Max (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.075 | $1.25 |
| Completion Price per 1M tokens | $0.625 | $10 |
| Sample Workload Cost 1M input + 500K output | $0.39 | $6.25 |
| Context Window | 262.14K | 400K |
| 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 $6.25 for GPT-5.1-Codex-Max, saving $5.86 (93.8% 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 | Ling-2.6-1T | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5.1-Codex-Max | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Ling-2.6-flash can replace Ling-2.6-1T when lower sample workload cost matters most: $0.03.
- gpt-oss-120b (free) can replace GPT-5.1-Codex-Max when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-5.1-Codex-Max when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-5.1-Codex-Max when lower sample workload cost matters most: $0.1.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- No popular competitor is currently available.
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsinclusionAI catalog
Review all tracked inclusionAI models before deciding whether this matchup is the right shortlist.
Open inclusionAI modelsOpenAI catalog
Check other OpenAI models with comparable pricing, context, or release timing.
Open OpenAI modelsLing-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...
GPT-5.1-Codex-Max is OpenAI’s latest agentic coding model, designed for long-running, high-context software development tasks. It is based on an updated version of the 5.1 reasoning stack and trained on agentic...