Ling-2.6-flash is $0.59 cheaper per 1M input tokens (98.3% lower; 60x difference).
API cost decision in 10 seconds
Ling-2.6-flash vs GPT Audio Mini
Pick Ling-2.6-flash when budget and context both matter.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Ling-2.6-flash when budget and context both matter.
On the standard 1M input plus 500K output workload, Ling-2.6-flash is estimated at $0.03 vs $1.8 for GPT Audio Mini, saving $1.77 (98.6% lower).
Cost-first pickLing-2.6-flash
Context-first pickLing-2.6-flash
Sample savings$1.7798.6%
10x traffic gap$17.75
Ling-2.6-flash is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $17.75. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Ling-2.6-flash stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Ling-2.6-flash | GPT Audio Mini |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Ling-2.6-flash | $0.07 | $4.2 |
| Balanced workload | 1M input + 1M output | Ling-2.6-flash | $0.04 | $3 |
| Output-heavy chatbot | 1M input + 5M output | Ling-2.6-flash | $0.16 | $12.6 |
Ling-2.6-flash is $2.37 cheaper per 1M output tokens (98.8% lower; 80x difference).
Ling-2.6-flash has 134.14K more context (2.05x larger).
Ling-2.6-flash is $1.77 cheaper on the standard workload (98.6% 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-flash has the lower input price; Ling-2.6-flash has the lower output price; Ling-2.6-flash offers the larger context window. For the 1M input plus 500K output sample, Ling-2.6-flash is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.03 for Ling-2.6-flash and $1.8 for GPT Audio Mini.
Choose Ling-2.6-flash when you care most about lower input-token price, lower output-token price, and larger context window.
Choose GPT Audio 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-2.6-flash is estimated at $0.03 vs $1.8 for GPT Audio Mini, saving $1.77 (98.6% lower).
- Ling-2.6-flash is $1.77 cheaper on the standard workload (98.6% lower).
- Ling-2.6-flash is $0.59 cheaper per 1M input tokens (98.3% lower; 60x difference).
- Ling-2.6-flash is $2.37 cheaper per 1M output tokens (98.8% lower; 80x difference).
- Ling-2.6-flash has 134.14K more context (2.05x larger).
| Feature | Ling-2.6-flash (inclusionAI) | GPT Audio Mini (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.01 | $0.6 |
| Completion Price per 1M tokens | $0.03 | $2.4 |
| Sample Workload Cost 1M input + 500K output | $0.03 | $1.8 |
| Context Window | 262.14K | 128K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Ling-2.6-flash | On the standard 1M input plus 500K output workload, Ling-2.6-flash is estimated at $0.03 vs $1.8 for GPT Audio Mini, saving $1.77 (98.6% lower). |
| High-volume input processing | Ling-2.6-flash | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Ling-2.6-flash | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Ling-2.6-flash | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT Audio Mini when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT Audio Mini when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT Audio Mini when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT Audio Mini when lower sample workload cost matters most: $0.13.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- Gemini 3.1 Flash Lite offers 1.05M context with $1 sample workload cost.
- DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.
- No popular competitor is currently available.
Cheaper alternatives
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