Nemotron 3 Nano Omni (free) is free for input tokens while Kimi K2 Thinking costs $0.6 per 1M tokens.
API cost decision in 10 seconds
NewNemotron 3 Nano Omni (free) vs Kimi K2 Thinking
Pick Nemotron 3 Nano Omni (free) for lower cost; pick Kimi K2 Thinking only if the larger context window matters more.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Nemotron 3 Nano Omni (free) for lower cost; pick Kimi K2 Thinking only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Nemotron 3 Nano Omni (free) is estimated at $0 vs $1.85 for Kimi K2 Thinking, saving $1.85 (100% lower).
Cost-first pickNemotron 3 Nano Omni (free)
Context-first pickKimi K2 Thinking
Sample savings$1.85100%
10x traffic gap$18.5
Kimi K2 Thinking has more context, but Nemotron 3 Nano Omni (free) saves $1.85 on the standard workload. At 10x that traffic, the same price gap is about $18.5. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Nemotron 3 Nano Omni (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Nemotron 3 Nano Omni (free) | Kimi K2 Thinking |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Nemotron 3 Nano Omni (free) | $0 | $4.25 |
| Balanced workload | 1M input + 1M output | Nemotron 3 Nano Omni (free) | $0 | $3.1 |
| Output-heavy chatbot | 1M input + 5M output | Nemotron 3 Nano Omni (free) | $0 | $13.1 |
Nemotron 3 Nano Omni (free) is free for output tokens while Kimi K2 Thinking costs $2.5 per 1M tokens.
Kimi K2 Thinking has 6.14K more context (1.02x larger).
Nemotron 3 Nano Omni (free) is free for the standard workload while the other model is estimated at $1.85.
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
Nemotron 3 Nano Omni (free) has the lower input price; Nemotron 3 Nano Omni (free) has the lower output price; Kimi K2 Thinking offers the larger context window. For the 1M input plus 500K output sample, Nemotron 3 Nano Omni (free) is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0 for Nemotron 3 Nano Omni (free) and $1.85 for Kimi K2 Thinking.
Choose Nemotron 3 Nano Omni (free) when you care most about lower input-token price, and lower output-token price.
Choose Kimi K2 Thinking when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Nemotron 3 Nano Omni (free) is estimated at $0 vs $1.85 for Kimi K2 Thinking, saving $1.85 (100% lower).
- Nemotron 3 Nano Omni (free) is free for the standard workload while the other model is estimated at $1.85.
- Nemotron 3 Nano Omni (free) is free for input tokens while Kimi K2 Thinking costs $0.6 per 1M tokens.
- Nemotron 3 Nano Omni (free) is free for output tokens while Kimi K2 Thinking costs $2.5 per 1M tokens.
- Kimi K2 Thinking has 6.14K more context (1.02x larger).
| Feature | NewNemotron 3 Nano Omni (free) (NVIDIA) | Kimi K2 Thinking (MoonshotAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $0.6 |
| Completion Price per 1M tokens | $0 | $2.5 |
| Sample Workload Cost 1M input + 500K output | $0 | $1.85 |
| Context Window | 256K | 262.14K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Nemotron 3 Nano Omni (free) | On the standard 1M input plus 500K output workload, Nemotron 3 Nano Omni (free) is estimated at $0 vs $1.85 for Kimi K2 Thinking, saving $1.85 (100% lower). |
| High-volume input processing | Nemotron 3 Nano Omni (free) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Nemotron 3 Nano Omni (free) | 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.
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsNVIDIA catalog
Review all tracked NVIDIA models before deciding whether this matchup is the right shortlist.
Open NVIDIA modelsMoonshotAI catalog
Check other MoonshotAI models with comparable pricing, context, or release timing.
Open MoonshotAI modelsNVIDIA Nemotron™ 3 Nano Omni is a 30B-A3B open multimodal model designed to function as a perception and context sub-agent in enterprise agent systems. It accepts text, image, video, and...
Kimi 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...