Kimi K2 Thinking is $0.65 cheaper per 1M input tokens (52% lower; 2.08x difference).
API cost decision in 10 seconds
Cogito v2.1 671B vs Kimi K2 Thinking
Pick Kimi K2 Thinking when budget and context both matter.
Pricing data updated:
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 $1.88 for Cogito v2.1 671B, saving $0.02 (1.3% lower).
Cost-first pickKimi K2 Thinking
Context-first pickKimi K2 Thinking
Sample savings$0.021.3%
10x traffic gap$0.25
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 $0.25. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors Kimi K2 Thinking, balanced workload favors Cogito v2.1 671B, and output-heavy chatbot favors Cogito v2.1 671B.
| Workload shape | Token mix | Better pick | Cogito v2.1 671B | Kimi K2 Thinking |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Kimi K2 Thinking | $6.88 | $4.25 |
| Balanced workload | 1M input + 1M output | Cogito v2.1 671B | $2.5 | $3.1 |
| Output-heavy chatbot | 1M input + 5M output | Cogito v2.1 671B | $7.5 | $13.1 |
Cogito v2.1 671B is $1.25 cheaper per 1M output tokens (50% lower; 2x difference).
Kimi K2 Thinking has 134.14K more context (2.05x larger).
Kimi K2 Thinking is $0.02 cheaper on the standard workload (1.3% 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; Cogito v2.1 671B has the lower 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 $1.88 for Cogito v2.1 671B and $1.85 for Kimi K2 Thinking.
Choose Cogito v2.1 671B when you care most about lower output-token price.
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 $1.88 for Cogito v2.1 671B, saving $0.02 (1.3% lower).
- Kimi K2 Thinking is $0.02 cheaper on the standard workload (1.3% lower).
- Kimi K2 Thinking is $0.65 cheaper per 1M input tokens (52% lower; 2.08x difference).
- Cogito v2.1 671B is $1.25 cheaper per 1M output tokens (50% lower; 2x difference).
- Kimi K2 Thinking has 134.14K more context (2.05x larger).
| Feature | Cogito v2.1 671B (Deep Cogito) | Kimi K2 Thinking (MoonshotAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $1.25 | $0.6 |
| Completion Price per 1M tokens | $1.25 | $2.5 |
| Sample Workload Cost 1M input + 500K output | $1.88 | $1.85 |
| Context Window | 128K | 262.14K |
| Release Date |
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 $1.88 for Cogito v2.1 671B, saving $0.02 (1.3% 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 | Cogito v2.1 671B | 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
- Kimi K2.5 can replace Kimi K2 Thinking when lower sample workload cost matters most: $1.35.
- Kimi K2 0711 can replace Kimi K2 Thinking when lower sample workload cost matters most: $1.72.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- Gemini 3.1 Flash Lite offers 1.05M context with $1 sample workload cost.
- DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.
- No popular competitor is currently available.
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