Calculate the cost of using nex-n2-pro from OpenRouter for your AI applications
Pricing data last updated:
Mode: Chat
Max: 262,144 tokens
Max: 262,144 tokens
Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.
nex-n2-pro is a chat model from OpenRouter, one of 351 chat models they offer. It is priced at $0.50 per 1M input tokens and $2.50 per 1M output tokens, ranking 1119 out of 2292 chat models by cost and cheaper than 51% of models in this category. nex-n2-pro supports vision, reasoning, prompt caching — one of only 2 chat models with this combination. Its 262K-token context window is in the top 25% among chat models.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 262,144 input tokens. The maximum output length is 262,144 tokens.
At $0.50 per 1M input tokens and $2.50 per 1M output tokens, nex-n2-pro ranks 1119 out of 2292 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 51% of models in this category.
nex-n2-pro is one of 351 OpenRouter chat models, one of only 2 chat models combining prompt caching, reasoning, vision. its 262K-token context window places it in the top 25% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs nex-n2-pro |
|---|---|---|---|---|
| gemini-3-flash-preview | Vertex AI | $0.50 | $3.00 | 0% |
| gemini-3-flash-preview | Google Gemini | $0.50 | $3.00 | 0% |
| MiniMax-M3 | Minimax | $0.60 | $2.40 | +20% |
Similar chat models from other providers
No. nex-n2-pro costs $0.50 per 1M input tokens while gemini-3-flash-preview costs $0.50 per 1M input tokens, making gemini-3-flash-preview 0% more affordable for input. However, nex-n2-pro may offer different capabilities or performance characteristics that justify the price difference.
nex-n2-pro input pricing is $0.50 per 1M tokens, which is 9% below the median of $0.55 for chat models. It ranks 1119 out of 2292 chat models by input cost, making it cheaper than 51% of models in this category. For output, it costs $2.50 per 1M tokens compared to the median of $1.50.
Among OpenRouter's 351 chat models, nex-n2-pro ranks 189 by input cost. Its combination of prompt caching, reasoning, vision is shared by only 1 other chat model.
The most comparable chat models to nex-n2-pro are: gemini-3-flash-preview from Vertex AI ($0.50/1M input tokens); gemini-3-flash-preview from Google Gemini ($0.50/1M input tokens); MiniMax-M3 from Minimax ($0.60/1M input tokens); gpt-4.1-mini from Azure ($0.40/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.
nex-n2-pro supports up to 262,144 input tokens, placing it in the top 25% of chat models by context window size (rank 515 of 2159). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
You can monitor OpenRouter service health in real time on the Bifrost OpenRouter Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.
nex-n2-pro is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.50 and generating 1M output tokens costs $2.50.
