Grok-3 vs Kimi K2 0905

    Comparison

    As of August 20, 2026, Kimi K2 0905 is 83% cheaper per million tokens than Grok-3. Grok-3 is $3.00 / $15.00 per million input/output tokens versus Kimi K2 0905 at $0.60 / $2.50. Sources: https://docs.x.ai/docs/models and https://platform.kimi.com/docs/pricing/chat

    Sources: xAI API pricing (https://docs.x.ai/docs/models); Moonshot AI pricing (https://platform.kimi.com/docs/pricing/chat)

    Grok-3

    xAI

    $18.00blended / 1M

    Input

    $3.00

    Output

    $15.00

    128K ctx|Proprietary
    83%
    cheaper
    Better value

    Kimi K2 0905

    Moonshot AI

    $3.10blended / 1M

    Input

    $0.60

    Output

    $2.50

    262.1K ctx|Proprietary
    Save $14.90 per million tokens by choosing Kimi K2 0905 over Grok-3.

    Grok-3 vs Kimi K2 0905 comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    Grok-3
    Kimi K2 0905
    Provider
    Provider
    xAI
    Moonshot AI
    License
    Proprietary
    Proprietary
    Release Date
    2025-02-17
    2025-09-05
    Pricing (per 1M tokens)
    Input Price+400%
    $3.00
    $0.60
    Output Price+500%
    $15.00
    $2.50
    Blended (1M + 1M)
    $18.00
    $3.10
    Model Details
    Context Window
    128K
    262.1K
    Max Output Tokens
    8K
    262.1K
    Knowledge Cutoff
    2024-11-17
    N/A
    Throughput
    100 tok/s
    N/A
    Benchmarks
    84.6%
    75.8%
    84.6%
    93.3%
    93.3%
    72%
    89.8%
    79.9%
    90.2%
    78%
    94.5%
    89.1%
    59.7%
    83.8%
    91.3%
    80.0%
    82.5%
    36.1%
    75.9%
    Benchmark Wins
    Grok-3 2|2 Kimi K2 0905

    Verdict

    Grok-3 vs Kimi K2 0905: the bottom line

    Both models are closely matched on benchmarks. Kimi K2 0905 has the pricing advantage, making it the better value unless Grok-3's specific capabilities are critical to your workflow.

    Grok-3 vs Kimi K2 0905 FAQ

    Which is cheaper, Grok-3 or Kimi K2 0905?

    As of August 20, 2026, Kimi K2 0905 is 83% cheaper on blended LLM API pricing. Kimi K2 0905 costs $0.60 per million input tokens and $2.50 per million output tokens ($3.10 blended 1M-in + 1M-out). Grok-3 costs $3.00 / $15.00 per million tokens ($18.00 blended). Sources: https://docs.x.ai/docs/models 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 Grok-3 vs Kimi K2 0905 cost per million tokens?

    Grok-3 xAI API pricing is $3.00 input and $15.00 output per million tokens via xAI. Kimi K2 0905 Moonshot AI API pricing is $0.60 input and $2.50 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, Grok-3 or Kimi K2 0905?

    Grok-3 has a published LiveCodeBench score of 79.4%. Kimi K2 0905 does not have that eval on this page yet.

    What is the context window for Grok-3 vs Kimi K2 0905?

    Grok-3 supports a 128K token context window, while Kimi K2 0905 supports 262K tokens. Kimi K2 0905 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, Grok-3 or Kimi K2 0905?

    Grok-3 and Kimi K2 0905 are tied across 4 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 Grok-3 or Kimi K2 0905 better for production use?

    Both Grok-3 and Kimi K2 0905 are production API models. For cost-sensitive production traffic, Kimi K2 0905 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 Grok-3 and Kimi K2 0905 in my app?

    Yes. Call Grok-3 through xAI and Kimi K2 0905 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 Grok-3 vs Kimi K2 0905 pricing data?

    List rates are the latest published xAI API pricing and Moonshot AI API pricing, quoted per million tokens. Official rate sheets: https://docs.x.ai/docs/models 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 Grok-3 and Kimi K2 0905?

    Grok-3 supports up to 8K output tokens per request, while Kimi K2 0905 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, Grok-3 or Kimi K2 0905?

    Grok-3 has a measured throughput of approximately 100 tokens/second. Throughput data for Kimi K2 0905 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 Grok-3 vs Kimi K2 0905 comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Grok-3 or Kimi K2 0905 from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

    Grok-3 vs Kimi K2 0905 pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Grok-3 costs $3.00/M input and $15.00/M output. Kimi K2 0905 costs $0.60/M input and $2.50/M output.

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

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