Calculate the cost of using nex-n2-mini 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-mini is a chat model from OpenRouter, one of 346 chat models they offer. It is priced at $0.02 per 1M input tokens and $0.10 per 1M output tokens, ranking 34 out of 2628 chat models by cost and cheaper than 99% of models in this category. nex-n2-mini supports vision, function calling, reasoning, prompt caching, structured output. Its 262K-token context window is in the top 29% 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 $0.02 per 1M input tokens and $0.10 per 1M output tokens, nex-n2-mini ranks 34 out of 2628 chat models by input cost. It is more affordable compared to the median of $0.50 for chat models, and is cheaper than 99% of models in this category.
nex-n2-mini is one of 346 OpenRouter chat models, with support for vision, function calling, reasoning, prompt caching, structured output. its 262K-token context window places it in the top 29% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs nex-n2-mini |
|---|---|---|---|---|
| gpt-5-nano | Azure | $0.05 | $0.40 | +100% |
| gpt-5-nano-2025-08-07 | Azure | $0.05 | $0.40 | +100% |
| gpt-5-nano | OpenAI | $0.05 | $0.40 | +100% |
Similar chat models from other providers
Yes. nex-n2-mini costs $0.02 per 1M input tokens compared to gpt-5-nano's $0.05 per 1M input tokens, making it 100% more affordable. Both are chat models and share support for vision, function calling, reasoning, prompt caching, structured output.
nex-n2-mini input pricing is $0.02 per 1M tokens, which is 95% below the median of $0.50 for chat models. It ranks 34 out of 2628 chat models by input cost, making it cheaper than 99% of models in this category. For output, it costs $0.10 per 1M tokens compared to the median of $1.44.
Among OpenRouter's 346 chat models, nex-n2-mini ranks 5 by input cost. It is the most affordable OpenRouter model with reasoning support.
The most comparable chat models to nex-n2-mini are: gpt-5-nano from Azure ($0.05/1M input tokens); gpt-5-nano-2025-08-07 from Azure ($0.05/1M input tokens); gpt-5-nano from OpenAI ($0.05/1M input tokens); gpt-5-nano-2025-08-07 from OpenAI ($0.05/1M 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.
Yes. At $0.02 per 1M input tokens, nex-n2-mini is the most affordable chat model that supports reasoning. This makes it a strong option for reasoning-dependent workloads where cost efficiency matters.
nex-n2-mini supports up to 262,144 input tokens, placing it in the top 29% of chat models by context window size (rank 615 of 2462). 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-mini 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 $0.02 and generating 1M output tokens costs $0.10.