Gemma 3n E2B Instructed vs Inkling-Small

    Comparison

    As of August 30, 2026, Gemma 3n E2B Instructed is 96% cheaper per million tokens than Inkling-Small. Gemma 3n E2B Instructed is $0.02 / $0.04 per million input/output tokens versus Inkling-Small at $0.30 / $1.20. Sources: https://ai.google.dev/gemini-api/docs/pricing and https://thinkingmachines.ai

    Sources: Gemini API pricing (https://ai.google.dev/gemini-api/docs/pricing); Thinking Machines Lab pricing (https://thinkingmachines.ai)

    Better value

    Gemma 3n E2B Instructed

    Google

    $0.06blended / 1M

    Input

    $0.02

    Output

    $0.04

    32K ctx|Proprietary
    96%
    cheaper

    Inkling-Small

    Thinking Machines

    $1.50blended / 1M

    Input

    $0.30

    Output

    $1.20

    256K ctx|Open Source
    Save $1.44 per million tokens by choosing Gemma 3n E2B Instructed over Inkling-Small.

    Gemma 3n E2B Instructed vs Inkling-Small 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 priceGemma 3n E2B InstructedInkling-Small
    Metric
    Gemma 3n E2B Instructed
    Inkling-Small
    Provider
    Provider
    Google
    Thinking Machines
    License
    Proprietary
    Open Source
    Release Date
    2025-06-26
    2026-07-30
    Pricing (per 1M tokens)
    Input Price-93%
    $0.02
    $0.30
    Output Price-97%
    $0.04
    $1.20
    Blended (1M + 1M)
    $0.06
    $1.50
    Model Details
    Context Window
    32K
    256K
    Max Output Tokens
    N/A
    256K
    Knowledge Cutoff
    2024-06-01
    N/A
    Throughput
    N/A
    N/A
    Benchmarks
    31.6%
    24.8%
    89.5%
    88.5%
    13.2%
    85.9%
    48.7%
    77.4%
    19.5%
    82.2%
    40.1%
    54.4%
    79.6%
    74%
    77.4%
    6.7%
    90%
    60.1%
    66.5%
    30.6%
    95.5%
    84%
    69.6%
    8.3%
    68.8%
    2.5%
    31.8%
    42.3%
    55.1%
    27.7%
    38.6%
    56.6%
    37.9%
    84.1%
    53.1%
    77%
    40.5%
    85.6%
    8.1%
    22.3%
    32.7%
    33.6%
    15.5%
    75.5%
    42.7%
    Benchmark Wins
    Gemma 3n E2B Instructed 0|5 Inkling-Small

    Verdict

    Gemma 3n E2B Instructed vs Inkling-Small: the bottom line

    Gemma 3n E2B Instructed 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.

    Gemma 3n E2B Instructed vs Inkling-Small FAQ

    Which is cheaper, Gemma 3n E2B Instructed or Inkling-Small?

    As of August 30, 2026, Gemma 3n E2B Instructed is 96% cheaper on blended LLM API pricing. Gemma 3n E2B Instructed costs $0.02 per million input tokens and $0.04 per million output tokens ($0.06 blended 1M-in + 1M-out). Inkling-Small costs $0.30 / $1.20 per million tokens ($1.50 blended). Sources: https://ai.google.dev/gemini-api/docs/pricing and https://thinkingmachines.ai. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does Gemma 3n E2B Instructed vs Inkling-Small cost per million tokens?

    Gemma 3n E2B Instructed Gemini API pricing is $0.02 input and $0.04 output per million tokens via Google. Inkling-Small Thinking Machines Lab API pricing is $0.30 input and $1.20 output per million tokens via Thinking Machines Lab. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.

    Which is better for coding, Gemma 3n E2B Instructed or Inkling-Small?

    Inkling-Small has a published SWE-bench Verified score of 80.2%. Gemma 3n E2B Instructed does not have that eval on this page yet.

    What is the context window for Gemma 3n E2B Instructed vs Inkling-Small?

    Gemma 3n E2B Instructed supports a 32K token context window, while Inkling-Small supports 256K tokens. Inkling-Small 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, Gemma 3n E2B Instructed or Inkling-Small?

    Inkling-Small leads on 5 of 5 shared benchmarks versus Gemma 3n E2B Instructed'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 Gemma 3n E2B Instructed or Inkling-Small better for production use?

    Both Gemma 3n E2B Instructed and Inkling-Small are production API models. For cost-sensitive production traffic, Gemma 3n E2B Instructed 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 Gemma 3n E2B Instructed and Inkling-Small in my app?

    Yes. Call Gemma 3n E2B Instructed through Google and Inkling-Small through Thinking Machines Lab 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 Gemma 3n E2B Instructed vs Inkling-Small pricing data?

    List rates are the latest published Gemini API pricing and Thinking Machines Lab API pricing, quoted per million tokens. Official rate sheets: https://ai.google.dev/gemini-api/docs/pricing and https://thinkingmachines.ai. 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 Gemma 3n E2B Instructed and Inkling-Small?

    Gemma 3n E2B Instructed supports up to an unspecified number of output tokens per request, while Inkling-Small supports up to 256K 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, Gemma 3n E2B Instructed or Inkling-Small?

    Neither Gemma 3n E2B Instructed nor Inkling-Small 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 Gemma 3n E2B Instructed vs Inkling-Small comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Gemma 3n E2B Instructed or Inkling-Small from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

    Gemma 3n E2B Instructed vs Inkling-Small pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Gemma 3n E2B Instructed costs $0.02/M input and $0.04/M output. Inkling-Small costs $0.30/M input and $1.20/M output via Thinking Machines Lab.

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

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