As of August 30, 2026, Nova 2 Omni is 96% cheaper per million tokens than o1-preview. Nova 2 Omni is $0.30 / $2.50 per million input/output tokens versus o1-preview at $15.00 / $60.00. Sources: https://aws.amazon.com/nova/pricing/ and https://developers.openai.com/api/docs/pricing
Sources: Amazon pricing (https://aws.amazon.com/nova/pricing/); OpenAI API pricing (https://developers.openai.com/api/docs/pricing)
Nova 2 Omni
Amazon
Input
$0.30
Output
$2.50
o1-preview
OpenAI
Input
$15.00
Output
$60.00
Token pricing, specs, and benchmarks side by side
Each bar is share of the current leader on that eval. Click a row to open the board.
AIME 2025. Left is cheaper. Up is a higher score. The line is the best score you can buy at each price.
Nova 2 Omnio1-previewVerdict
Nova 2 Omni offers both lower pricing and stronger benchmark performance across the board, making it the clear value leader in this comparison.
As of August 30, 2026, Nova 2 Omni is 96% cheaper on blended LLM API pricing. Nova 2 Omni costs $0.30 per million input tokens and $2.50 per million output tokens ($2.80 blended 1M-in + 1M-out). o1-preview costs $15.00 / $60.00 per million tokens ($75.00 blended). Sources: https://aws.amazon.com/nova/pricing/ and https://developers.openai.com/api/docs/pricing. The cheapest LLM for your app still depends on how many output tokens you generate.
Nova 2 Omni Amazon API pricing is $0.30 input and $2.50 output per million tokens via Amazon. o1-preview OpenAI API pricing is $15.00 input and $60.00 output per million tokens via OpenAI. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
o1-preview has a published SWE-bench Verified score of 41.3%. Nova 2 Omni does not have that eval on this page yet.
Nova 2 Omni supports a 1M token context window, while o1-preview supports 128K tokens. Nova 2 Omni 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.
Nova 2 Omni leads on 1 of 1 shared benchmarks versus o1-preview'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.
Both Nova 2 Omni and o1-preview are production API models. For cost-sensitive production traffic, Nova 2 Omni 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.
Yes. Call Nova 2 Omni through Amazon and o1-preview 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.
List rates are the latest published Amazon API pricing and OpenAI API pricing, quoted per million tokens. Official rate sheets: https://aws.amazon.com/nova/pricing/ 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.
Nova 2 Omni supports up to an unspecified number of output tokens per request, while o1-preview supports up to 33K output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
o1-preview has a measured throughput of approximately 66 tokens/second. Throughput data for Nova 2 Omni is not yet available. 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.
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Nova 2 Omni or o1-preview from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
This comparison covers API pricing, context window, throughput, and benchmark scores. Nova 2 Omni costs $0.30/M input and $2.50/M output. o1-preview costs $15.00/M input and $60.00/M output.
Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
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