Nemotron 3 Ultra (550B A55B) vs Qwen3.7-Plus

    Comparison

    As of August 20, 2026, Qwen3.7-Plus is 41% 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 Qwen3.7-Plus at $0.32 / $1.28. Sources: https://openrouter.ai/api/v1/models and https://www.alibabacloud.com/help/en/model-studio/pricing

    Sources: OpenRouter pricing (https://openrouter.ai/api/v1/models); Qwen pricing (https://www.alibabacloud.com/help/en/model-studio/pricing)

    Nemotron 3 Ultra (550B A55B)

    NVIDIA

    $2.70blended / 1M

    Input

    $0.50

    Output

    $2.20

    1M ctx|Open Source
    41%
    cheaper
    Better value

    Qwen3.7-Plus

    Qwen

    $1.60blended / 1M

    Input

    $0.32

    Output

    $1.28

    1M ctx|Proprietary
    Save $1.10 per million tokens by choosing Qwen3.7-Plus over Nemotron 3 Ultra (550B A55B).

    Nemotron 3 Ultra (550B A55B) vs Qwen3.7-Plus comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    Nemotron 3 Ultra (550B A55B)
    Qwen3.7-Plus
    Provider
    Provider
    NVIDIA
    Qwen
    License
    Open Source
    Proprietary
    Release Date
    2026-06-04
    2026-05-31
    Pricing (per 1M tokens)
    Input Price+56%
    $0.50
    $0.32
    Output Price+72%
    $2.20
    $1.28
    Blended (1M + 1M)
    $2.70
    $1.60
    Model Details
    Context Window
    1M
    1M
    Max Output Tokens
    N/A
    65.5K
    Knowledge Cutoff
    2025-09-30
    N/A
    Throughput
    N/A
    N/A
    Benchmarks
    37.4%
    34.7%
    87%
    90.3%
    86.1%
    87.9%
    44.6%
    51.3%
    44.4%
    94.6%
    81.7%
    79.1%
    65.4%
    37.5%
    38.2%
    73.2%
    79%
    89%
    85.9%
    46.7%
    93.3%
    84.8%
    22.7%
    70.4%
    51.1%
    72.9%
    62.7%
    55.7%
    65.5%
    77%
    65.1%
    3.1%
    6%
    37.5%
    31.7%
    49.3%
    69.8%
    10.2%
    90.3%
    84.1%
    92.9%
    83%
    83.4%
    61.9%
    76.2%
    90.3%
    88.8%
    58.7%
    38.6%
    87.4%
    46.3%
    86.8%
    88.5%
    83%
    85.4%
    94.5%
    91.7%
    41.1%
    58.8%
    67.1%
    51.1%
    78.7%
    84%
    56%
    86.9%
    94.7%
    39.3%
    81.7%
    54.9%
    71.4%
    77.2%
    22.6%
    73.1%
    78.2%
    88%
    85.4%
    42.8%
    45.6%
    77.2%
    83.7%
    84.6%
    61.1%
    Benchmark Wins
    Nemotron 3 Ultra (550B A55B) 5|14 Qwen3.7-Plus

    Verdict

    Nemotron 3 Ultra (550B A55B) vs Qwen3.7-Plus: the bottom line

    Qwen3.7-Plus offers both lower pricing and stronger benchmark performance across the board, making it the clear value leader in this comparison.

    Nemotron 3 Ultra (550B A55B) vs Qwen3.7-Plus FAQ

    Which is cheaper, Nemotron 3 Ultra (550B A55B) or Qwen3.7-Plus?

    As of August 20, 2026, Qwen3.7-Plus is 41% cheaper on blended LLM API pricing. Qwen3.7-Plus costs $0.32 per million input tokens and $1.28 per million output tokens ($1.60 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://www.alibabacloud.com/help/en/model-studio/pricing. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does Nemotron 3 Ultra (550B A55B) vs Qwen3.7-Plus 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. Qwen3.7-Plus Qwen API pricing is $0.32 input and $1.28 output per million tokens via Qwen. 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 Qwen3.7-Plus?

    Qwen3.7-Plus leads on SWE-bench Verified: Nemotron 3 Ultra (550B A55B) at 70.7% vs Qwen3.7-Plus at 77.7%. SWE-bench measures real GitHub fixes; LiveCodeBench measures contest programming.

    What is the context window for Nemotron 3 Ultra (550B A55B) vs Qwen3.7-Plus?

    Nemotron 3 Ultra (550B A55B) supports a 1M token context window, while Qwen3.7-Plus supports 1M tokens. Both models have the same context window size. 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 Qwen3.7-Plus?

    Qwen3.7-Plus leads on 14 of 19 shared benchmarks versus Nemotron 3 Ultra (550B A55B)'s 5 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 Qwen3.7-Plus better for production use?

    Both Nemotron 3 Ultra (550B A55B) and Qwen3.7-Plus are production API models. For cost-sensitive production traffic, Qwen3.7-Plus 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 Qwen3.7-Plus in my app?

    Yes. Call Nemotron 3 Ultra (550B A55B) through OpenRouter and Qwen3.7-Plus through Qwen 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 Qwen3.7-Plus pricing data?

    List rates are the latest published OpenRouter API pricing and Qwen API pricing, quoted per million tokens. Official rate sheets: https://openrouter.ai/api/v1/models and https://www.alibabacloud.com/help/en/model-studio/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 3 Ultra (550B A55B) and Qwen3.7-Plus?

    Nemotron 3 Ultra (550B A55B) supports up to an unspecified number of output tokens per request, while Qwen3.7-Plus supports up to 66K 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 Qwen3.7-Plus?

    Neither Nemotron 3 Ultra (550B A55B) nor Qwen3.7-Plus 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 3 Ultra (550B A55B) vs Qwen3.7-Plus 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 Qwen3.7-Plus 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 Qwen3.7-Plus 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. Qwen3.7-Plus costs $0.32/M input and $1.28/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.

    Baidu

    1 models

    Inception

    1 models

    inclusionAI

    1 models

    LG AI Research

    1 models

    Nous Research

    1 models

    Sakana AI

    1 models

    StepFun

    1 models

    Tencent

    1 models

    Thinking Machines

    1 models

    Unisound

    1 models

    Upstage

    1 models

    Next step

    You found the model. Now ship the product.

    Auth, billing, and the API layer are already decided. Fork 8 finished AI apps, or have us build the first version with you.