Which is cheaper, Nemotron Nano 9B v2 or o1-pro?
As of August 20, 2026, Nemotron Nano 9B v2 is 100% cheaper on blended LLM API pricing. Nemotron Nano 9B v2 costs $0.00 per million input tokens and $0.00 per million output tokens ($0.00 blended 1M-in + 1M-out). o1-pro costs $150.00 / $600.00 per million tokens ($750.00 blended). Sources: https://openrouter.ai/api/v1/models and https://developers.openai.com/api/docs/pricing. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does Nemotron Nano 9B v2 vs o1-pro cost per million tokens?
Nemotron Nano 9B v2 OpenRouter API pricing is $0.00 input and $0.00 output per million tokens via OpenRouter. o1-pro OpenAI API pricing is $150.00 input and $600.00 output per million tokens via OpenAI. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, Nemotron Nano 9B v2 or o1-pro?
Nemotron Nano 9B v2 has a published LiveCodeBench score of 71.1%. o1-pro does not have that eval on this page yet.
What is the context window for Nemotron Nano 9B v2 vs o1-pro?
Nemotron Nano 9B v2 supports a 128K token context window, while o1-pro supports 200K tokens. o1-pro offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.
Which model performs better on benchmarks, Nemotron Nano 9B v2 or o1-pro?
o1-pro leads on 1 of 1 shared benchmarks versus Nemotron Nano 9B v2's 0 wins. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.
Is Nemotron Nano 9B v2 or o1-pro better for production use?
Both Nemotron Nano 9B v2 and o1-pro are production API models. For cost-sensitive production traffic, Nemotron Nano 9B v2 has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.
Can I switch between Nemotron Nano 9B v2 and o1-pro in my app?
Yes. Call Nemotron Nano 9B v2 through OpenRouter and o1-pro through OpenAI with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.
How accurate is this Nemotron Nano 9B v2 vs o1-pro pricing data?
List rates are the latest published OpenRouter API pricing and OpenAI API pricing, quoted per million tokens. Official rate sheets: https://openrouter.ai/api/v1/models and https://developers.openai.com/api/docs/pricing. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.
What is the output token limit for Nemotron Nano 9B v2 and o1-pro?
Nemotron Nano 9B v2 supports up to an unspecified number of output tokens per request, while o1-pro supports up to 100K output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
Which model has better throughput, Nemotron Nano 9B v2 or o1-pro?
Neither Nemotron Nano 9B v2 nor o1-pro has published throughput data on this page yet. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.
How do I switch the models in this Nemotron Nano 9B v2 vs o1-pro comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Nemotron Nano 9B v2 or o1-pro from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
