Both models report the same input price at $0.6 per 1M tokens.
API cost decision in 10 seconds
GPT Audio Mini vs Kimi K2 Thinking
Pick GPT Audio Mini for lower cost; pick Kimi K2 Thinking only if the larger context window matters more.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick GPT Audio Mini for lower cost; pick Kimi K2 Thinking only if the larger context window matters more.
On the standard 1M input plus 500K output workload, GPT Audio Mini is estimated at $1.8 vs $1.85 for Kimi K2 Thinking, saving $0.05 (2.7% lower).
Cost-first pickGPT Audio Mini
Context-first pickKimi K2 Thinking
Sample savings$0.052.7%
10x traffic gap$0.5
Kimi K2 Thinking has more context, but GPT Audio Mini saves $0.05 on the standard workload. At 10x that traffic, the same price gap is about $0.5. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
GPT Audio Mini stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | GPT Audio Mini | Kimi K2 Thinking |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | GPT Audio Mini | $4.2 | $4.25 |
| Balanced workload | 1M input + 1M output | GPT Audio Mini | $3 | $3.1 |
| Output-heavy chatbot | 1M input + 5M output | GPT Audio Mini | $12.6 | $13.1 |
GPT Audio Mini is $0.1 cheaper per 1M output tokens (4% lower; 1.04x difference).
Kimi K2 Thinking has 134.14K more context (2.05x larger).
GPT Audio Mini is $0.05 cheaper on the standard workload (2.7% 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
both models tie on input price; GPT Audio Mini has the lower output price; Kimi K2 Thinking offers the larger context window. For the 1M input plus 500K output sample, GPT Audio Mini is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $1.8 for GPT Audio Mini and $1.85 for Kimi K2 Thinking.
Choose GPT Audio Mini when you care most about lower output-token price.
Choose Kimi K2 Thinking when you care most about larger context window.
- On the standard 1M input plus 500K output workload, GPT Audio Mini is estimated at $1.8 vs $1.85 for Kimi K2 Thinking, saving $0.05 (2.7% lower).
- GPT Audio Mini is $0.05 cheaper on the standard workload (2.7% lower).
- Both models report the same input price at $0.6 per 1M tokens.
- GPT Audio Mini is $0.1 cheaper per 1M output tokens (4% lower; 1.04x difference).
- Kimi K2 Thinking has 134.14K more context (2.05x larger).
| Feature | GPT Audio Mini (OpenAI) | Kimi K2 Thinking (MoonshotAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.6 | $0.6 |
| Completion Price per 1M tokens | $2.4 | $2.5 |
| Sample Workload Cost 1M input + 500K output | $1.8 | $1.85 |
| Context Window | 128K | 262.14K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | GPT Audio Mini | On the standard 1M input plus 500K output workload, GPT Audio Mini is estimated at $1.8 vs $1.85 for Kimi K2 Thinking, saving $0.05 (2.7% lower). |
| High-volume input processing | Tie | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | GPT Audio Mini | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Kimi K2 Thinking | 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.
- DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
- DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
Cheaper alternatives
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