Llama 3.1 Nemotron Ultra 253B v1 vs o3-mini

    Comparison

    As of August 30, 2026, Llama 3.1 Nemotron Ultra 253B v1 is 56% cheaper per million tokens than o3-mini. Llama 3.1 Nemotron Ultra 253B v1 is $0.60 / $1.80 per million input/output tokens versus o3-mini at $1.10 / $4.40. Sources: https://build.nvidia.com/nvidia/llama-3_1-nemotron-ultra-253b-v1 and https://developers.openai.com/api/docs/pricing

    Sources: NVIDIA pricing (https://build.nvidia.com/nvidia/llama-3_1-nemotron-ultra-253b-v1); OpenAI API pricing (https://developers.openai.com/api/docs/pricing)

    Better value

    Llama 3.1 Nemotron Ultra 253B v1

    NVIDIA

    $2.40blended / 1M

    Input

    $0.60

    Output

    $1.80

    131.1K ctx|Open Source
    56%
    cheaper

    o3-mini

    OpenAI

    $5.50blended / 1M

    Input

    $1.10

    Output

    $4.40

    200K ctx|Proprietary
    Save $3.10 per million tokens by choosing Llama 3.1 Nemotron Ultra 253B v1 over o3-mini.

    Llama 3.1 Nemotron Ultra 253B v1 vs o3-mini comparison

    Token pricing, specs, and benchmarks side by side

    Shared benchmarks

    Each bar is share of the current leader on that eval. Click a row to open the board.

    Score vs price

    AIME 2025. Left is cheaper. Up is a higher score. The line is the best score you can buy at each price.

    Best score at each priceLlama 3.1 Nemotron Ultra 253B v1o3-mini
    Metric
    Llama 3.1 Nemotron Ultra 253B v1
    o3-mini
    Provider
    Provider
    NVIDIA
    OpenAI
    License
    Open Source
    Proprietary
    Release Date
    2025-04-07
    2025-01-30
    Pricing (per 1M tokens)
    Input Price-45%
    $0.60
    $1.10
    Output Price-59%
    $1.80
    $4.40
    Blended (1M + 1M)
    $2.40
    $5.50
    Model Details
    Context Window
    131.1K
    200K
    Max Output Tokens
    N/A
    100K
    Knowledge Cutoff
    2023-12-01
    2023-09-30
    Throughput
    N/A
    115 tok/s
    Benchmarks
    76.0%
    77.2%
    79.7%
    66.3%
    71.5%
    39.8%
    15%
    89.5%
    93.9%
    3.0%
    61%
    50%
    72.5%
    44.4%
    87.3%
    97%
    97.9%
    10%
    65.1%
    86.9%
    97.9%
    74.1%
    98.7%
    45.3%
    0.3%
    22.5%
    84.6%
    94.8%
    92%
    78.7%
    79.5%
    22.8%
    69.4%
    Benchmark Wins
    Llama 3.1 Nemotron Ultra 253B v1 1|5 o3-mini

    Verdict

    Llama 3.1 Nemotron Ultra 253B v1 vs o3-mini: the bottom line

    Llama 3.1 Nemotron Ultra 253B v1 offers significantly lower pricing, while o3-mini leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

    Llama 3.1 Nemotron Ultra 253B v1 vs o3-mini FAQ

    Which is cheaper, Llama 3.1 Nemotron Ultra 253B v1 or o3-mini?

    As of August 30, 2026, Llama 3.1 Nemotron Ultra 253B v1 is 56% cheaper on blended LLM API pricing. Llama 3.1 Nemotron Ultra 253B v1 costs $0.60 per million input tokens and $1.80 per million output tokens ($2.40 blended 1M-in + 1M-out). o3-mini costs $1.10 / $4.40 per million tokens ($5.50 blended). Sources: https://build.nvidia.com/nvidia/llama-3_1-nemotron-ultra-253b-v1 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 Llama 3.1 Nemotron Ultra 253B v1 vs o3-mini cost per million tokens?

    Llama 3.1 Nemotron Ultra 253B v1 NVIDIA API pricing is $0.60 input and $1.80 output per million tokens via NVIDIA. o3-mini OpenAI API pricing is $1.10 input and $4.40 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, Llama 3.1 Nemotron Ultra 253B v1 or o3-mini?

    o3-mini has a published SWE-bench Verified score of 49.3%. Llama 3.1 Nemotron Ultra 253B v1 does not have that eval on this page yet.

    What is the context window for Llama 3.1 Nemotron Ultra 253B v1 vs o3-mini?

    Llama 3.1 Nemotron Ultra 253B v1 supports a 131K token context window, while o3-mini supports 200K tokens. o3-mini 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, Llama 3.1 Nemotron Ultra 253B v1 or o3-mini?

    o3-mini leads on 5 of 6 shared benchmarks versus Llama 3.1 Nemotron Ultra 253B v1's 1 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 Llama 3.1 Nemotron Ultra 253B v1 or o3-mini better for production use?

    Both Llama 3.1 Nemotron Ultra 253B v1 and o3-mini are production API models. For cost-sensitive production traffic, Llama 3.1 Nemotron Ultra 253B v1 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 Llama 3.1 Nemotron Ultra 253B v1 and o3-mini in my app?

    Yes. Call Llama 3.1 Nemotron Ultra 253B v1 through NVIDIA and o3-mini 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 Llama 3.1 Nemotron Ultra 253B v1 vs o3-mini pricing data?

    List rates are the latest published NVIDIA API pricing and OpenAI API pricing, quoted per million tokens. Official rate sheets: https://build.nvidia.com/nvidia/llama-3_1-nemotron-ultra-253b-v1 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 Llama 3.1 Nemotron Ultra 253B v1 and o3-mini?

    Llama 3.1 Nemotron Ultra 253B v1 supports up to an unspecified number of output tokens per request, while o3-mini 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, Llama 3.1 Nemotron Ultra 253B v1 or o3-mini?

    o3-mini has a measured throughput of approximately 115 tokens/second. Throughput data for Llama 3.1 Nemotron Ultra 253B v1 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.

    How do I switch the models in this Llama 3.1 Nemotron Ultra 253B v1 vs o3-mini comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Llama 3.1 Nemotron Ultra 253B v1 or o3-mini from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

    Llama 3.1 Nemotron Ultra 253B v1 vs o3-mini pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Llama 3.1 Nemotron Ultra 253B v1 costs $0.60/M input and $1.80/M output. o3-mini costs $1.10/M input and $4.40/M output.

    Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.

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