Gemma 3n E4B Instructed vs Kimi K3

    Comparison

    As of August 20, 2026, Kimi K3 is 70% cheaper per million tokens than Gemma 3n E4B Instructed. Gemma 3n E4B Instructed is $20.00 / $40.00 per million input/output tokens versus Kimi K3 at $3.00 / $15.00. Sources: https://ai.google.dev/gemini-api/docs/pricing and https://platform.kimi.com/docs/pricing/chat

    Sources: Gemini API pricing (https://ai.google.dev/gemini-api/docs/pricing); Moonshot AI pricing (https://platform.kimi.com/docs/pricing/chat)

    Gemma 3n E4B Instructed

    Google

    $60.00blended / 1M

    Input

    $20.00

    Output

    $40.00

    32K ctx|Proprietary
    70%
    cheaper
    Better value

    Kimi K3

    Moonshot AI

    $18.00blended / 1M

    Input

    $3.00

    Output

    $15.00

    1M ctx|Open Source
    Save $42.00 per million tokens by choosing Kimi K3 over Gemma 3n E4B Instructed.

    Gemma 3n E4B Instructed vs Kimi K3 comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    Gemma 3n E4B Instructed
    Kimi K3
    Provider
    Provider
    Google
    Moonshot AI
    License
    Proprietary
    Open Source
    Release Date
    2025-06-26
    2026-07-16
    Pricing (per 1M tokens)
    Input Price+567%
    $20.00
    $3.00
    Output Price+167%
    $40.00
    $15.00
    Blended (1M + 1M)
    $60.00
    $18.00
    Model Details
    Context Window
    32K
    1M
    Max Output Tokens
    32K
    1M
    Knowledge Cutoff
    2024-06-01
    N/A
    Throughput
    42.09 tok/s
    8.253358168863906 tok/s
    Benchmarks
    56%
    23.7%
    93.5%
    93.5%
    67.5%
    68.5%
    13.2%
    87.2%
    58.7%
    1681.75
    91.2%
    42.7%
    60.4%
    84.8%
    76.5%
    84.2%
    81.6%
    91.3%
    11.6%
    68.9%
    64.9%
    88.2%
    75%
    51.6%
    37.6%
    85.7%
    84.8%
    71.6%
    23.4%
    79.0%
    73.5%
    Deck Bench Internal
    73.5%
    67.5%
    19%
    66.4%
    81.2%
    44.2%
    81.2%
    19%
    60.3%
    37.7%
    43.5%
    57.2%
    52.9%
    Kimi Code Bench 2 0 Internal
    72.9%
    97.8%
    63.6%
    48.9%
    88.0%
    67%
    50.6%
    88.0%
    19.9%
    63.3%
    91.1%
    35.6%
    Perceptionbench Internal
    58.5%
    54.3%
    75.7%
    50.1%
    51%
    41%
    Benchmark Wins
    Gemma 3n E4B Instructed 0|4 Kimi K3

    Verdict

    Gemma 3n E4B Instructed vs Kimi K3: the bottom line

    Kimi K3 offers both lower pricing and stronger benchmark performance across the board, making it the clear value leader in this comparison.

    Gemma 3n E4B Instructed vs Kimi K3 FAQ

    Which is cheaper, Gemma 3n E4B Instructed or Kimi K3?

    As of August 20, 2026, Kimi K3 is 70% cheaper on blended LLM API pricing. Kimi K3 costs $3.00 per million input tokens and $15.00 per million output tokens ($18.00 blended 1M-in + 1M-out). Gemma 3n E4B Instructed costs $20.00 / $40.00 per million tokens ($60.00 blended). Sources: https://ai.google.dev/gemini-api/docs/pricing and https://platform.kimi.com/docs/pricing/chat. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does Gemma 3n E4B Instructed vs Kimi K3 cost per million tokens?

    Gemma 3n E4B Instructed Gemini API pricing is $20.00 input and $40.00 output per million tokens via Google. Kimi K3 Moonshot AI API pricing is $3.00 input and $15.00 output per million tokens via Moonshot AI. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.

    Which is better for coding, Gemma 3n E4B Instructed or Kimi K3?

    Kimi K3 has a published SWE-bench Verified score of 93.4%. Gemma 3n E4B Instructed does not have that eval on this page yet.

    What is the context window for Gemma 3n E4B Instructed vs Kimi K3?

    Gemma 3n E4B Instructed supports a 32K token context window, while Kimi K3 supports 1M tokens. Kimi K3 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 E4B Instructed or Kimi K3?

    Kimi K3 leads on 4 of 4 shared benchmarks versus Gemma 3n E4B 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 E4B Instructed or Kimi K3 better for production use?

    Both Gemma 3n E4B Instructed and Kimi K3 are production API models. For cost-sensitive production traffic, Kimi K3 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 E4B Instructed and Kimi K3 in my app?

    Yes. Call Gemma 3n E4B Instructed through Google and Kimi K3 through Moonshot AI 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 E4B Instructed vs Kimi K3 pricing data?

    List rates are the latest published Gemini API pricing and Moonshot AI API pricing, quoted per million tokens. Official rate sheets: https://ai.google.dev/gemini-api/docs/pricing and https://platform.kimi.com/docs/pricing/chat. 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 E4B Instructed and Kimi K3?

    Gemma 3n E4B Instructed supports up to 32K output tokens per request, while Kimi K3 supports up to 1M 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 E4B Instructed or Kimi K3?

    Gemma 3n E4B Instructed runs at approximately 42.09 tokens/second while Kimi K3 runs at 8.253358168863906 tokens/second. Gemma 3n E4B Instructed is faster in raw throughput. 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 E4B Instructed vs Kimi K3 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 E4B Instructed or Kimi K3 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 E4B Instructed vs Kimi K3 pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Gemma 3n E4B Instructed costs $20.00/M input and $40.00/M output. Kimi K3 costs $3.00/M input and $15.00/M output.

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

    The index

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