Kimi K2.5 is $2.6 cheaper per 1M input tokens (86.7% lower; 7.5x difference).
API cost decision in 10 seconds
Kimi K2.5 vs Sonar Pro Search
Pick Kimi K2.5 when budget and context both matter.
Budget verdict
Pick Kimi K2.5 when budget and context both matter.
On the standard 1M input plus 500K output workload, Kimi K2.5 is estimated at $1.35 vs $10.5 for Sonar Pro Search, saving $9.15 (87.1% lower).
Kimi K2.5 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $91.5. 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 | Kimi K2.5 | Sonar Pro Search |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Kimi K2.5 | $2.95 | $22.5 |
| Balanced workload | 1M input + 1M output | Kimi K2.5 | $2.3 | $18 |
| Output-heavy chatbot | 1M input + 5M output | Kimi K2.5 | $9.9 | $78 |
Kimi K2.5 is $13.1 cheaper per 1M output tokens (87.3% lower; 7.89x difference).
Kimi K2.5 has 62.14K more context (1.31x larger).
Kimi K2.5 is $9.15 cheaper on the standard workload (87.1% 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; Kimi K2.5 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 $1.35 for Kimi K2.5 and $10.5 for Sonar Pro Search.
Choose Kimi K2.5 when you care most about lower input-token price, lower output-token price, and larger context window.
Choose Sonar Pro Search 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, Kimi K2.5 is estimated at $1.35 vs $10.5 for Sonar Pro Search, saving $9.15 (87.1% lower).
- Kimi K2.5 is $9.15 cheaper on the standard workload (87.1% lower).
- Kimi K2.5 is $2.6 cheaper per 1M input tokens (86.7% lower; 7.5x difference).
- Kimi K2.5 is $13.1 cheaper per 1M output tokens (87.3% lower; 7.89x difference).
- Kimi K2.5 has 62.14K more context (1.31x larger).
| Feature | Kimi K2.5 (MoonshotAI) | Sonar Pro Search (Perplexity) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.4 | $3 |
| Completion Price per 1M tokens | $1.9 | $15 |
| Sample Workload Cost 1M input + 500K output | $1.35 | $10.5 |
| Context Window | 262.14K | 200K |
| 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 $10.5 for Sonar Pro Search, saving $9.15 (87.1% 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 | Kimi K2.5 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Sonar can replace Sonar Pro Search when lower sample workload cost matters most: $1.5.
- Sonar Reasoning Pro can replace Sonar Pro Search when lower sample workload cost matters most: $6.
- Sonar Deep Research can replace Sonar Pro Search when lower sample workload cost matters most: $6.
- 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.
- GPT-5.4 offers 1.05M context with $10 sample workload cost.
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