Kimi K2 Thinking is $1.9 cheaper per 1M input tokens (76% lower; 4.17x difference).
API cost decision in 10 seconds
Kimi K2 Thinking vs Nova Premier 1.0
Pick Kimi K2 Thinking for lower cost; pick Nova Premier 1.0 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 Thinking for lower cost; pick Nova Premier 1.0 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Kimi K2 Thinking is estimated at $1.85 vs $8.75 for Nova Premier 1.0, saving $6.9 (78.9% lower).
Cost-first pickKimi K2 Thinking
Context-first pickNova Premier 1.0
Sample savings$6.978.9%
10x traffic gap$69
Nova Premier 1.0 has more context, but Kimi K2 Thinking saves $6.9 on the standard workload. At 10x that traffic, the same price gap is about $69. 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 | Kimi K2 Thinking | Nova Premier 1.0 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Kimi K2 Thinking | $4.25 | $18.75 |
| Balanced workload | 1M input + 1M output | Kimi K2 Thinking | $3.1 | $15 |
| Output-heavy chatbot | 1M input + 5M output | Kimi K2 Thinking | $13.1 | $65 |
Kimi K2 Thinking is $10 cheaper per 1M output tokens (80% lower; 5x difference).
Nova Premier 1.0 has 737.86K more context (3.81x larger).
Kimi K2 Thinking is $6.9 cheaper on the standard workload (78.9% 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; Kimi K2 Thinking has the lower output price; Nova Premier 1.0 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 $1.85 for Kimi K2 Thinking and $8.75 for Nova Premier 1.0.
Choose Kimi K2 Thinking when you care most about lower input-token price, and lower output-token price.
Choose Nova Premier 1.0 when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Kimi K2 Thinking is estimated at $1.85 vs $8.75 for Nova Premier 1.0, saving $6.9 (78.9% lower).
- Kimi K2 Thinking is $6.9 cheaper on the standard workload (78.9% lower).
- Kimi K2 Thinking is $1.9 cheaper per 1M input tokens (76% lower; 4.17x difference).
- Kimi K2 Thinking is $10 cheaper per 1M output tokens (80% lower; 5x difference).
- Nova Premier 1.0 has 737.86K more context (3.81x larger).
| Feature | Kimi K2 Thinking (MoonshotAI) | Nova Premier 1.0 (Amazon) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.6 | $2.5 |
| Completion Price per 1M tokens | $2.5 | $12.5 |
| Sample Workload Cost 1M input + 500K output | $1.85 | $8.75 |
| Context Window | 262.14K | 1M |
| 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 $8.75 for Nova Premier 1.0, saving $6.9 (78.9% 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 | Kimi K2 Thinking | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Nova Premier 1.0 | 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.
- Nova Micro 1.0 can replace Nova Premier 1.0 when lower sample workload cost matters most: $0.11.
- Nova Lite 1.0 can replace Nova Premier 1.0 when lower sample workload cost matters most: $0.18.
- 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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Open Amazon modelsKimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in...
Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.