Nemotron 3 Ultra (550B A55B) vs Phi-3.5-mini-instruct

    Comparison

    As of August 25, 2026, Phi-3.5-mini-instruct is 93% cheaper per million tokens than Nemotron 3 Ultra (550B A55B). Nemotron 3 Ultra (550B A55B) is $0.50 / $2.20 per million input/output tokens versus Phi-3.5-mini-instruct at $0.10 / $0.10. Sources: https://openrouter.ai/api/v1/models and https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/

    Sources: OpenRouter pricing (https://openrouter.ai/api/v1/models); Microsoft pricing (https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/)

    Nemotron 3 Ultra (550B A55B)

    NVIDIA

    $2.70blended / 1M

    Input

    $0.50

    Output

    $2.20

    1M ctx|Open Source
    93%
    cheaper
    Better value

    Phi-3.5-mini-instruct

    Microsoft

    $0.20blended / 1M

    Input

    $0.10

    Output

    $0.10

    128K ctx|Open Source
    Save $2.50 per million tokens by choosing Phi-3.5-mini-instruct over Nemotron 3 Ultra (550B A55B).

    Nemotron 3 Ultra (550B A55B) vs Phi-3.5-mini-instruct 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.

    Nemotron 3 Ultra (550B A55B)Phi-3.5-mini-instruct

    Score vs price

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

    Best score at each priceNemotron 3 Ultra (550B A55B)Phi-3.5-mini-instruct
    Metric
    Nemotron 3 Ultra (550B A55B)
    Phi-3.5-mini-instruct
    Provider
    Provider
    NVIDIA
    Microsoft
    License
    Open Source
    Open Source
    Release Date
    2026-06-04
    2024-08-23
    Pricing (per 1M tokens)
    Input Price+400%
    $0.50
    $0.10
    Output Price+2100%
    $2.20
    $0.10
    Blended (1M + 1M)
    $2.70
    $0.20
    Model Details
    Context Window
    1M
    128K
    Max Output Tokens
    N/A
    128K
    Knowledge Cutoff
    2025-09-30
    N/A
    Throughput
    N/A
    23 tok/s
    Benchmarks
    37.4%
    87%
    30.4%
    86.1%
    44.6%
    44.4%
    81.7%
    65.4%
    55.4%
    46.7%
    69%
    69.4%
    62.8%
    48.5%
    84.8%
    84.6%
    78%
    65.5%
    3.1%
    31.7%
    25.9%
    86.2%
    61.9%
    69.6%
    38.6%
    61.7%
    62.2%
    46.5%
    63.1%
    47.9%
    86.8%
    47.4%
    83%
    78.7%
    79.2%
    81%
    56%
    41.9%
    21.3%
    77%
    94.7%
    84.1%
    74.7%
    24.3%
    22.6%
    73.1%
    68.5%
    83.7%
    Benchmark Wins
    Nemotron 3 Ultra (550B A55B) 3|0 Phi-3.5-mini-instruct

    Verdict

    Nemotron 3 Ultra (550B A55B) vs Phi-3.5-mini-instruct: the bottom line

    Phi-3.5-mini-instruct offers significantly lower pricing, while Nemotron 3 Ultra (550B A55B) leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

    Nemotron 3 Ultra (550B A55B) vs Phi-3.5-mini-instruct FAQ

    Which is cheaper, Nemotron 3 Ultra (550B A55B) or Phi-3.5-mini-instruct?

    As of August 25, 2026, Phi-3.5-mini-instruct is 93% cheaper on blended LLM API pricing. Phi-3.5-mini-instruct costs $0.10 per million input tokens and $0.10 per million output tokens ($0.20 blended 1M-in + 1M-out). Nemotron 3 Ultra (550B A55B) costs $0.50 / $2.20 per million tokens ($2.70 blended). Sources: https://openrouter.ai/api/v1/models and https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does Nemotron 3 Ultra (550B A55B) vs Phi-3.5-mini-instruct cost per million tokens?

    Nemotron 3 Ultra (550B A55B) OpenRouter API pricing is $0.50 input and $2.20 output per million tokens via OpenRouter. Phi-3.5-mini-instruct Microsoft API pricing is $0.10 input and $0.10 output per million tokens via Microsoft. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.

    Which is better for coding, Nemotron 3 Ultra (550B A55B) or Phi-3.5-mini-instruct?

    Nemotron 3 Ultra (550B A55B) has a published SWE-bench Verified score of 70.7%. Phi-3.5-mini-instruct does not have that eval on this page yet.

    What is the context window for Nemotron 3 Ultra (550B A55B) vs Phi-3.5-mini-instruct?

    Nemotron 3 Ultra (550B A55B) supports a 1M token context window, while Phi-3.5-mini-instruct supports 128K tokens. Nemotron 3 Ultra (550B A55B) 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 3 Ultra (550B A55B) or Phi-3.5-mini-instruct?

    Nemotron 3 Ultra (550B A55B) leads on 3 of 3 shared benchmarks versus Phi-3.5-mini-instruct'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 3 Ultra (550B A55B) or Phi-3.5-mini-instruct better for production use?

    Both Nemotron 3 Ultra (550B A55B) and Phi-3.5-mini-instruct are production API models. For cost-sensitive production traffic, Phi-3.5-mini-instruct 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 3 Ultra (550B A55B) and Phi-3.5-mini-instruct in my app?

    Yes. Call Nemotron 3 Ultra (550B A55B) through OpenRouter and Phi-3.5-mini-instruct through Microsoft 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 3 Ultra (550B A55B) vs Phi-3.5-mini-instruct pricing data?

    List rates are the latest published OpenRouter API pricing and Microsoft API pricing, quoted per million tokens. Official rate sheets: https://openrouter.ai/api/v1/models and https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/. 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 3 Ultra (550B A55B) and Phi-3.5-mini-instruct?

    Nemotron 3 Ultra (550B A55B) supports up to an unspecified number of output tokens per request, while Phi-3.5-mini-instruct supports up to 128K 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 3 Ultra (550B A55B) or Phi-3.5-mini-instruct?

    Phi-3.5-mini-instruct has a measured throughput of approximately 23 tokens/second. Throughput data for Nemotron 3 Ultra (550B A55B) 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 Nemotron 3 Ultra (550B A55B) vs Phi-3.5-mini-instruct comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Nemotron 3 Ultra (550B A55B) or Phi-3.5-mini-instruct from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

    Nemotron 3 Ultra (550B A55B) vs Phi-3.5-mini-instruct pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Nemotron 3 Ultra (550B A55B) costs $0.50/M input and $2.20/M output via OpenRouter. Phi-3.5-mini-instruct costs $0.10/M input and $0.10/M output.

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

    The index

    All Large Language Models

    280 models across 33 providers. Search or jump to a lab — every model page stays linked here.

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    1 models

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    1 models

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    1 models

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    1 models

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    1 models

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    1 models

    StepFun

    1 models

    Tencent

    1 models

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    1 models

    Unisound

    1 models

    Upstage

    1 models

    Next step

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