Kimi K2 Thinking is $0.1 cheaper per 1M input tokens (14.3% lower; 1.17x difference).
API cost decision in 10 seconds
R1 vs Kimi K2 Thinking
Pick Kimi K2 Thinking when budget and context both matter.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Kimi K2 Thinking when budget and context both matter.
On the standard 1M input plus 500K output workload, Kimi K2 Thinking is estimated at $1.85 vs $1.95 for R1, saving $0.1 (5.1% lower).
Cost-first pickKimi K2 Thinking
Context-first pickKimi K2 Thinking
Sample savings$0.15.1%
10x traffic gap$1
Kimi K2 Thinking is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Kimi K2 Thinking stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | R1 | Kimi K2 Thinking |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Kimi K2 Thinking | $4.75 | $4.25 |
| Balanced workload | 1M input + 1M output | Kimi K2 Thinking | $3.2 | $3.1 |
| Output-heavy chatbot | 1M input + 5M output | Kimi K2 Thinking | $13.2 | $13.1 |
Both models report the same output price at $2.5 per 1M tokens.
Kimi K2 Thinking has 98.3K more context (1.6x larger).
Kimi K2 Thinking is $0.1 cheaper on the standard workload (5.1% 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 Thinking has the lower input price; both models tie on output price; Kimi K2 Thinking offers the larger context window. For the 1M input plus 500K output sample, Kimi K2 Thinking is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $1.95 for R1 and $1.85 for Kimi K2 Thinking.
Choose R1 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
Choose Kimi K2 Thinking when you care most about lower input-token price, and larger context window.
- On the standard 1M input plus 500K output workload, Kimi K2 Thinking is estimated at $1.85 vs $1.95 for R1, saving $0.1 (5.1% lower).
- Kimi K2 Thinking is $0.1 cheaper on the standard workload (5.1% lower).
- Kimi K2 Thinking is $0.1 cheaper per 1M input tokens (14.3% lower; 1.17x difference).
- Both models report the same output price at $2.5 per 1M tokens.
- Kimi K2 Thinking has 98.3K more context (1.6x larger).
| Feature | R1 (DeepSeek) | Kimi K2 Thinking (MoonshotAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.7 | $0.6 |
| Completion Price per 1M tokens | $2.5 | $2.5 |
| Sample Workload Cost 1M input + 500K output | $1.95 | $1.85 |
| Context Window | 163.84K | 262.14K |
| Release Date | ||
| Popularity | #133 | #144 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Kimi K2 Thinking | On the standard 1M input plus 500K output workload, Kimi K2 Thinking is estimated at $1.85 vs $1.95 for R1, saving $0.1 (5.1% lower). |
| High-volume input processing | Kimi K2 Thinking | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Tie | 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
- DeepSeek V4 Flash (free) can replace R1 when lower sample workload cost matters most: $0.
- DeepSeek V4 Flash can replace R1 when lower sample workload cost matters most: $0.2.
- R1 Distill Qwen 32B can replace R1 when lower sample workload cost matters most: $0.43.
- DeepSeek V3.2 can replace R1 when lower sample workload cost matters most: $0.44.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- MiMo-V2.5 offers 1.05M context with $0.28 sample workload cost.
- DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
- Hy3 preview · Tencent · #1
- MiMo-V2.5 · Xiaomi · #2
- DeepSeek V4 Flash · DeepSeek · #3
- Owl Alpha · OpenRouter · #4
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