Inkling-Small vs Nemotron 3.5 Lightning (30B A3B)

    Comparison

    As of August 20, 2026, Nemotron 3.5 Lightning (30B A3B) is 83% cheaper per million tokens than Inkling-Small. Inkling-Small is $0.30 / $1.20 per million input/output tokens versus Nemotron 3.5 Lightning (30B A3B) at $0.05 / $0.20. Sources: https://thinkingmachines.ai and https://build.nvidia.com

    Sources: Thinking Machines Lab pricing (https://thinkingmachines.ai); NVIDIA pricing (https://build.nvidia.com)

    Inkling-Small

    Thinking Machines

    $1.50blended / 1M

    Input

    $0.30

    Output

    $1.20

    256K ctx|Open Source
    83%
    cheaper
    Better value

    Nemotron 3.5 Lightning (30B A3B)

    NVIDIA

    $0.25blended / 1M

    Input

    $0.05

    Output

    $0.20

    262.1K ctx|Open Source
    Save $1.25 per million tokens by choosing Nemotron 3.5 Lightning (30B A3B) over Inkling-Small.

    Inkling-Small vs Nemotron 3.5 Lightning (30B A3B) comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    Inkling-Small
    Nemotron 3.5 Lightning (30B A3B)
    Provider
    Provider
    Thinking Machines
    NVIDIA
    License
    Open Source
    Open Source
    Release Date
    2026-07-30
    2026-08-11
    Pricing (per 1M tokens)
    Input Price+500%
    $0.30
    $0.05
    Output Price+500%
    $1.20
    $0.20
    Blended (1M + 1M)
    $1.50
    $0.25
    Model Details
    Context Window
    256K
    262.1K
    Max Output Tokens
    256K
    262.1K
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    N/A
    N/A
    Benchmarks
    31.6%
    11.7%
    89.5%
    75.4%
    88.5%
    48.7%
    32.6%
    77.4%
    37.0%
    19.5%
    82.2%
    71.9%
    52%
    40.1%
    54.4%
    79.6%
    74%
    77.4%
    90%
    30.6%
    95.5%
    84%
    69.6%
    8.3%
    68.8%
    31.8%
    42.3%
    37.9%
    84.1%
    77%
    85.6%
    81.9%
    17.5%
    85.4%
    32.7%
    33.6%
    15.5%
    9.3%
    75.5%
    Benchmark Wins
    Inkling-Small 9|0 Nemotron 3.5 Lightning (30B A3B)

    Verdict

    Inkling-Small vs Nemotron 3.5 Lightning (30B A3B): the bottom line

    Nemotron 3.5 Lightning (30B A3B) offers significantly lower pricing, while Inkling-Small leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

    Inkling-Small vs Nemotron 3.5 Lightning (30B A3B) FAQ

    Which is cheaper, Inkling-Small or Nemotron 3.5 Lightning (30B A3B)?

    As of August 20, 2026, Nemotron 3.5 Lightning (30B A3B) is 83% cheaper on blended LLM API pricing. Nemotron 3.5 Lightning (30B A3B) costs $0.05 per million input tokens and $0.20 per million output tokens ($0.25 blended 1M-in + 1M-out). Inkling-Small costs $0.30 / $1.20 per million tokens ($1.50 blended). Sources: https://thinkingmachines.ai and https://build.nvidia.com. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does Inkling-Small vs Nemotron 3.5 Lightning (30B A3B) cost per million tokens?

    Inkling-Small Thinking Machines Lab API pricing is $0.30 input and $1.20 output per million tokens via Thinking Machines Lab. Nemotron 3.5 Lightning (30B A3B) NVIDIA API pricing is $0.05 input and $0.20 output per million tokens via NVIDIA. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.

    Which is better for coding, Inkling-Small or Nemotron 3.5 Lightning (30B A3B)?

    Inkling-Small leads on SWE-bench Verified: Inkling-Small at 80.2% vs Nemotron 3.5 Lightning (30B A3B) at 51.6%. SWE-bench measures real GitHub fixes; LiveCodeBench measures contest programming.

    What is the context window for Inkling-Small vs Nemotron 3.5 Lightning (30B A3B)?

    Inkling-Small supports a 256K token context window, while Nemotron 3.5 Lightning (30B A3B) supports 262K tokens. Nemotron 3.5 Lightning (30B A3B) 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, Inkling-Small or Nemotron 3.5 Lightning (30B A3B)?

    Inkling-Small leads on 9 of 9 shared benchmarks versus Nemotron 3.5 Lightning (30B A3B)'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 Inkling-Small or Nemotron 3.5 Lightning (30B A3B) better for production use?

    Both Inkling-Small and Nemotron 3.5 Lightning (30B A3B) are production API models. For cost-sensitive production traffic, Nemotron 3.5 Lightning (30B A3B) 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 Inkling-Small and Nemotron 3.5 Lightning (30B A3B) in my app?

    Yes. Call Inkling-Small through Thinking Machines Lab and Nemotron 3.5 Lightning (30B A3B) through NVIDIA 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 Inkling-Small vs Nemotron 3.5 Lightning (30B A3B) pricing data?

    List rates are the latest published Thinking Machines Lab API pricing and NVIDIA API pricing, quoted per million tokens. Official rate sheets: https://thinkingmachines.ai and https://build.nvidia.com. 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 Inkling-Small and Nemotron 3.5 Lightning (30B A3B)?

    Inkling-Small supports up to 256K output tokens per request, while Nemotron 3.5 Lightning (30B A3B) supports up to 262K 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, Inkling-Small or Nemotron 3.5 Lightning (30B A3B)?

    Neither Inkling-Small nor Nemotron 3.5 Lightning (30B A3B) 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 Inkling-Small vs Nemotron 3.5 Lightning (30B A3B) comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Inkling-Small or Nemotron 3.5 Lightning (30B A3B) from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

    Inkling-Small vs Nemotron 3.5 Lightning (30B A3B) pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Inkling-Small costs $0.30/M input and $1.20/M output via Thinking Machines Lab. Nemotron 3.5 Lightning (30B A3B) costs $0.05/M input and $0.20/M output.

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

    The index

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