Gemini 2.5 Flash-Lite vs Kimi K2 Base

    Comparison

    As of August 30, 2026, Gemini 2.5 Flash-Lite is 83% cheaper per million tokens than Kimi K2 Base. Gemini 2.5 Flash-Lite is $0.10 / $0.40 per million input/output tokens versus Kimi K2 Base at $0.57 / $2.30. Sources: https://ai.google.dev/gemini-api/docs/pricing and https://openrouter.ai/moonshotai/kimi-k2

    Sources: Gemini API pricing (https://ai.google.dev/gemini-api/docs/pricing); OpenRouter pricing (https://openrouter.ai/moonshotai/kimi-k2)

    Better value

    Gemini 2.5 Flash-Lite

    Google

    $0.50blended / 1M

    Input

    $0.10

    Output

    $0.40

    1M ctx|Open Source
    83%
    cheaper

    Kimi K2 Base

    Moonshot AI

    $2.87blended / 1M

    Input

    $0.57

    Output

    $2.30

    131.1K ctx|Open Source
    Save $2.37 per million tokens by choosing Gemini 2.5 Flash-Lite over Kimi K2 Base.

    Gemini 2.5 Flash-Lite vs Kimi K2 Base 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.

    Gemini 2.5 Flash-LiteKimi K2 Base

    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 priceGemini 2.5 Flash-LiteKimi K2 Base
    Metric
    Gemini 2.5 Flash-Lite
    Kimi K2 Base
    Provider
    Provider
    Google
    Moonshot AI
    License
    Open Source
    Open Source
    Release Date
    2025-06-17
    2025-07-11
    Pricing (per 1M tokens)
    Input Price-82%
    $0.10
    $0.57
    Output Price-83%
    $0.40
    $2.30
    Blended (1M + 1M)
    $0.50
    $2.87
    Model Details
    Context Window
    1M
    131.1K
    Max Output Tokens
    65.5K
    N/A
    Knowledge Cutoff
    2025-01-01
    N/A
    Throughput
    5.7 tok/s
    N/A
    Benchmarks
    5.1%
    64.6%
    48.1%
    10.7%
    35.3%
    49.8%
    36.9%
    87.8%
    72.9%
    70.2%
    2.5%
    92.5%
    77.6%
    80.3%
    92.1%
    27.1%
    72.8%
    69.2%
    16.6%
    27.5%
    44.7%
    85.1%
    51.3%
    Benchmark Wins
    Gemini 2.5 Flash-Lite 1|1 Kimi K2 Base

    Verdict

    Gemini 2.5 Flash-Lite vs Kimi K2 Base: the bottom line

    Both models are closely matched on benchmarks. Gemini 2.5 Flash-Lite has the pricing advantage, making it the better value unless Kimi K2 Base's specific capabilities are critical to your workflow.

    Gemini 2.5 Flash-Lite vs Kimi K2 Base FAQ

    Which is cheaper, Gemini 2.5 Flash-Lite or Kimi K2 Base?

    As of August 30, 2026, Gemini 2.5 Flash-Lite is 83% cheaper on blended LLM API pricing. Gemini 2.5 Flash-Lite costs $0.10 per million input tokens and $0.40 per million output tokens ($0.50 blended 1M-in + 1M-out). Kimi K2 Base costs $0.57 / $2.30 per million tokens ($2.87 blended). Sources: https://ai.google.dev/gemini-api/docs/pricing and https://openrouter.ai/moonshotai/kimi-k2. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does Gemini 2.5 Flash-Lite vs Kimi K2 Base cost per million tokens?

    Gemini 2.5 Flash-Lite Gemini API pricing is $0.10 input and $0.40 output per million tokens via Google. Kimi K2 Base OpenRouter API pricing is $0.57 input and $2.30 output per million tokens via OpenRouter. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.

    Which is better for coding, Gemini 2.5 Flash-Lite or Kimi K2 Base?

    Gemini 2.5 Flash-Lite has a published SWE-bench Verified score of 31.6%. Kimi K2 Base does not have that eval on this page yet.

    What is the context window for Gemini 2.5 Flash-Lite vs Kimi K2 Base?

    Gemini 2.5 Flash-Lite supports a 1M token context window, while Kimi K2 Base supports 131K tokens. Gemini 2.5 Flash-Lite 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, Gemini 2.5 Flash-Lite or Kimi K2 Base?

    Gemini 2.5 Flash-Lite and Kimi K2 Base are tied across 2 shared benchmarks. Check the table for category-level strengths. 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 Gemini 2.5 Flash-Lite or Kimi K2 Base better for production use?

    Both Gemini 2.5 Flash-Lite and Kimi K2 Base are production API models. For cost-sensitive production traffic, Gemini 2.5 Flash-Lite 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 Gemini 2.5 Flash-Lite and Kimi K2 Base in my app?

    Yes. Call Gemini 2.5 Flash-Lite through Google and Kimi K2 Base through OpenRouter 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 Gemini 2.5 Flash-Lite vs Kimi K2 Base pricing data?

    List rates are the latest published Gemini API pricing and OpenRouter API pricing, quoted per million tokens. Official rate sheets: https://ai.google.dev/gemini-api/docs/pricing and https://openrouter.ai/moonshotai/kimi-k2. 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 Gemini 2.5 Flash-Lite and Kimi K2 Base?

    Gemini 2.5 Flash-Lite supports up to 66K output tokens per request, while Kimi K2 Base supports up to an unspecified number of 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, Gemini 2.5 Flash-Lite or Kimi K2 Base?

    Gemini 2.5 Flash-Lite has a measured throughput of approximately 5.7 tokens/second. Throughput data for Kimi K2 Base 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 Gemini 2.5 Flash-Lite vs Kimi K2 Base comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Gemini 2.5 Flash-Lite or Kimi K2 Base from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

    Gemini 2.5 Flash-Lite vs Kimi K2 Base pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Gemini 2.5 Flash-Lite costs $0.10/M input and $0.40/M output. Kimi K2 Base costs $0.57/M input and $2.30/M output via OpenRouter.

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

    The index

    All Large Language Models

    343 models across 36 providers. Search or jump to a lab — every model page stays linked here.

    Baidu

    2 models

    Inception

    1 models

    inclusionAI

    1 models

    LG AI Research

    1 models

    Liquid AI

    2 models

    Nous Research

    1 models

    OpenBMB

    1 models

    Sakana AI

    1 models

    Sarvam AI

    2 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.