GLM-5-Turbo vs MiMo-V2-Omni

    Comparison

    As of August 30, 2026, MiMo-V2-Omni is 92% cheaper per million tokens than GLM-5-Turbo. GLM-5-Turbo is $1.20 / $4.00 per million input/output tokens versus MiMo-V2-Omni at $0.14 / $0.28. Sources: https://docs.z.ai/guides/overview/pricing and https://openrouter.ai/xiaomi/mimo-v2.5

    Sources: Z AI pricing (https://docs.z.ai/guides/overview/pricing); OpenRouter pricing (https://openrouter.ai/xiaomi/mimo-v2.5)

    GLM-5-Turbo

    Z AI

    $5.20blended / 1M

    Input

    $1.20

    Output

    $4.00

    262.1K ctx|Open Source
    92%
    cheaper
    Better value

    MiMo-V2-Omni

    Xiaomi

    $0.42blended / 1M

    Input

    $0.14

    Output

    $0.28

    262K ctx|Proprietary
    Save $4.78 per million tokens by choosing MiMo-V2-Omni over GLM-5-Turbo.

    GLM-5-Turbo vs MiMo-V2-Omni comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    GLM-5-Turbo
    MiMo-V2-Omni
    Provider
    Provider
    Z AI
    Xiaomi
    License
    Open Source
    Proprietary
    Release Date
    N/A
    2026-03-18
    Pricing (per 1M tokens)
    Input Price+757%
    $1.20
    $0.14
    Output Price+1329%
    $4.00
    $0.28
    Blended (1M + 1M)
    $5.20
    $0.42
    Model Details
    Context Window
    262.1K
    262K
    Max Output Tokens
    N/A
    16.4K
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    N/A
    N/A
    Benchmarks
    54.8%
    49.8%
    81.2%

    Verdict

    GLM-5-Turbo vs MiMo-V2-Omni: the bottom line

    Both models are closely matched on benchmarks. MiMo-V2-Omni has the pricing advantage, making it the better value unless GLM-5-Turbo's specific capabilities are critical to your workflow.

    GLM-5-Turbo vs MiMo-V2-Omni FAQ

    Which is cheaper, GLM-5-Turbo or MiMo-V2-Omni?

    As of August 30, 2026, MiMo-V2-Omni is 92% cheaper on blended LLM API pricing. MiMo-V2-Omni costs $0.14 per million input tokens and $0.28 per million output tokens ($0.42 blended 1M-in + 1M-out). GLM-5-Turbo costs $1.20 / $4.00 per million tokens ($5.20 blended). Sources: https://docs.z.ai/guides/overview/pricing and https://openrouter.ai/xiaomi/mimo-v2.5. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does GLM-5-Turbo vs MiMo-V2-Omni cost per million tokens?

    GLM-5-Turbo Z AI API pricing is $1.20 input and $4.00 output per million tokens via Z AI. MiMo-V2-Omni OpenRouter API pricing is $0.14 input and $0.28 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, GLM-5-Turbo or MiMo-V2-Omni?

    MiMo-V2-Omni has a published SWE-bench Verified score of 74.8%. GLM-5-Turbo does not have that eval on this page yet.

    What is the context window for GLM-5-Turbo vs MiMo-V2-Omni?

    GLM-5-Turbo supports a 262K token context window, while MiMo-V2-Omni supports 262K tokens. GLM-5-Turbo 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, GLM-5-Turbo or MiMo-V2-Omni?

    Shared benchmark scores for GLM-5-Turbo and MiMo-V2-Omni are still limited. Check the comparison table for the evals each model has published. 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 GLM-5-Turbo or MiMo-V2-Omni better for production use?

    Both GLM-5-Turbo and MiMo-V2-Omni are production API models. For cost-sensitive production traffic, MiMo-V2-Omni 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 GLM-5-Turbo and MiMo-V2-Omni in my app?

    Yes. Call GLM-5-Turbo through Z AI and MiMo-V2-Omni 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 GLM-5-Turbo vs MiMo-V2-Omni pricing data?

    List rates are the latest published Z AI API pricing and OpenRouter API pricing, quoted per million tokens. Official rate sheets: https://docs.z.ai/guides/overview/pricing and https://openrouter.ai/xiaomi/mimo-v2.5. 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 GLM-5-Turbo and MiMo-V2-Omni?

    GLM-5-Turbo supports up to an unspecified number of output tokens per request, while MiMo-V2-Omni supports up to 16K 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, GLM-5-Turbo or MiMo-V2-Omni?

    Neither GLM-5-Turbo nor MiMo-V2-Omni 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 GLM-5-Turbo vs MiMo-V2-Omni comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open GLM-5-Turbo or MiMo-V2-Omni from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

    GLM-5-Turbo vs MiMo-V2-Omni pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. GLM-5-Turbo costs $1.20/M input and $4.00/M output. MiMo-V2-Omni costs $0.14/M input and $0.28/M output via OpenRouter.

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

    The index

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