Kimi K2.5 is $1.6 cheaper per 1M input tokens (80% lower; 5x difference).
API cost decision in 10 seconds
NewGoogle Gemini Pro Latest vs Kimi K2.5
Pick Kimi K2.5 for lower cost; pick Google Gemini Pro Latest 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 Kimi K2.5 for lower cost; pick Google Gemini Pro Latest only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Kimi K2.5 is estimated at $1.35 vs $8 for Google Gemini Pro Latest, saving $6.65 (83.1% lower).
Cost-first pickKimi K2.5
Context-first pickGoogle Gemini Pro Latest
Sample savings$6.6583.1%
10x traffic gap$66.5
Google Gemini Pro Latest has more context, but Kimi K2.5 saves $6.65 on the standard workload. At 10x that traffic, the same price gap is about $66.5. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Kimi K2.5 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Google Gemini Pro Latest | Kimi K2.5 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Kimi K2.5 | $16 | $2.95 |
| Balanced workload | 1M input + 1M output | Kimi K2.5 | $14 | $2.3 |
| Output-heavy chatbot | 1M input + 5M output | Kimi K2.5 | $62 | $9.9 |
Kimi K2.5 is $10.1 cheaper per 1M output tokens (84.2% lower; 6.32x difference).
Google Gemini Pro Latest has 786.43K more context (4x larger).
Kimi K2.5 is $6.65 cheaper on the standard workload (83.1% 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
Kimi K2.5 has the lower input price; Kimi K2.5 has the lower output price; Google Gemini Pro Latest offers the larger context window. For the 1M input plus 500K output sample, Kimi K2.5 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $8 for Google Gemini Pro Latest and $1.35 for Kimi K2.5.
Choose Google Gemini Pro Latest when you care most about larger context window.
Choose Kimi K2.5 when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Kimi K2.5 is estimated at $1.35 vs $8 for Google Gemini Pro Latest, saving $6.65 (83.1% lower).
- Kimi K2.5 is $6.65 cheaper on the standard workload (83.1% lower).
- Kimi K2.5 is $1.6 cheaper per 1M input tokens (80% lower; 5x difference).
- Kimi K2.5 is $10.1 cheaper per 1M output tokens (84.2% lower; 6.32x difference).
- Google Gemini Pro Latest has 786.43K more context (4x larger).
| Feature | NewGoogle Gemini Pro Latest (Google) | Kimi K2.5 (MoonshotAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $2 | $0.4 |
| Completion Price per 1M tokens | $12 | $1.9 |
| Sample Workload Cost 1M input + 500K output | $8 | $1.35 |
| Context Window | 1.05M | 262.14K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Kimi K2.5 | On the standard 1M input plus 500K output workload, Kimi K2.5 is estimated at $1.35 vs $8 for Google Gemini Pro Latest, saving $6.65 (83.1% lower). |
| High-volume input processing | Kimi K2.5 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Kimi K2.5 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Google Gemini Pro Latest | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
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Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over approximately 15T mixed...