GPT-4o-mini is $0.42 cheaper per 1M input tokens (73.7% lower; 3.8x difference).
API cost decision in 10 seconds
🔥GPT-4o-mini vs Kimi K2 0711
Pick GPT-4o-mini for lower cost; pick Kimi K2 0711 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-4o-mini for lower cost; pick Kimi K2 0711 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, GPT-4o-mini is estimated at $0.45 vs $1.72 for Kimi K2 0711, saving $1.27 (73.8% lower).
Cost-first pickGPT-4o-mini
Context-first pickKimi K2 0711
Sample savings$1.2773.8%
10x traffic gap$12.7
Kimi K2 0711 has more context, but GPT-4o-mini saves $1.27 on the standard workload. At 10x that traffic, the same price gap is about $12.7. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
GPT-4o-mini stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | GPT-4o-mini | Kimi K2 0711 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | GPT-4o-mini | $1.05 | $4 |
| Balanced workload | 1M input + 1M output | GPT-4o-mini | $0.75 | $2.87 |
| Output-heavy chatbot | 1M input + 5M output | GPT-4o-mini | $3.15 | $12.07 |
GPT-4o-mini is $1.7 cheaper per 1M output tokens (73.9% lower; 3.83x difference).
Kimi K2 0711 has 3.07K more context (1.02x larger).
GPT-4o-mini is $1.27 cheaper on the standard workload (73.8% 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
GPT-4o-mini has the lower input price; GPT-4o-mini has the lower output price; Kimi K2 0711 offers the larger context window. For the 1M input plus 500K output sample, GPT-4o-mini is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.45 for GPT-4o-mini and $1.72 for Kimi K2 0711.
Choose GPT-4o-mini when you care most about lower input-token price, and lower output-token price.
Choose Kimi K2 0711 when you care most about larger context window.
- On the standard 1M input plus 500K output workload, GPT-4o-mini is estimated at $0.45 vs $1.72 for Kimi K2 0711, saving $1.27 (73.8% lower).
- GPT-4o-mini is $1.27 cheaper on the standard workload (73.8% lower).
- GPT-4o-mini is $0.42 cheaper per 1M input tokens (73.7% lower; 3.8x difference).
- GPT-4o-mini is $1.7 cheaper per 1M output tokens (73.9% lower; 3.83x difference).
- Kimi K2 0711 has 3.07K more context (1.02x larger).
| Feature | 🔥GPT-4o-mini (OpenAI) | Kimi K2 0711 (MoonshotAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.15 | $0.57 |
| Completion Price per 1M tokens | $0.6 | $2.3 |
| Sample Workload Cost 1M input + 500K output | $0.45 | $1.72 |
| Context Window | 128K | 131.07K |
| Release Date | ||
| Popularity | #16 | #140 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | GPT-4o-mini | On the standard 1M input plus 500K output workload, GPT-4o-mini is estimated at $0.45 vs $1.72 for Kimi K2 0711, saving $1.27 (73.8% lower). |
| High-volume input processing | GPT-4o-mini | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | GPT-4o-mini | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Kimi K2 0711 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT-4o-mini when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-4o-mini when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-4o-mini when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT-4o-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
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