GLM-5.3 vs MiniMax M1 80K

    Comparison

    As of August 20, 2026, MiniMax M1 80K is 53% cheaper per million tokens than GLM-5.3. GLM-5.3 is $1.40 / $4.40 per million input/output tokens versus MiniMax M1 80K at $0.55 / $2.20. Sources: https://docs.z.ai/guides/overview/pricing and https://anotherwrapper.com/tools/llm-pricing

    Sources: Z AI pricing (https://docs.z.ai/guides/overview/pricing); AnotherWrapper LLM pricing (https://anotherwrapper.com/tools/llm-pricing)

    GLM-5.3

    Z AI

    $5.80blended / 1M

    Input

    $1.40

    Output

    $4.40

    1M ctx|Open Source
    53%
    cheaper
    Better value

    MiniMax M1 80K

    MiniMax

    $2.75blended / 1M

    Input

    $0.55

    Output

    $2.20

    1M ctx|Open Source
    Save $3.05 per million tokens by choosing MiniMax M1 80K over GLM-5.3.

    GLM-5.3 vs MiniMax M1 80K comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    GLM-5.3
    MiniMax M1 80K
    Provider
    Provider
    Z AI
    MiniMax
    License
    Open Source
    Open Source
    Release Date
    2026-08-14
    2025-06-16
    Pricing (per 1M tokens)
    Input Price+155%
    $1.40
    $0.55
    Output Price+100%
    $4.40
    $2.20
    Blended (1M + 1M)
    $5.80
    $2.75
    Model Details
    Context Window
    1M
    1M
    Max Output Tokens
    N/A
    40K
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    N/A
    N/A
    Benchmark Wins
    GLM-5.3 1|0 MiniMax M1 80K

    Verdict

    GLM-5.3 vs MiniMax M1 80K: the bottom line

    MiniMax M1 80K offers significantly lower pricing, while GLM-5.3 leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

    GLM-5.3 vs MiniMax M1 80K FAQ

    Which is cheaper, GLM-5.3 or MiniMax M1 80K?

    As of August 20, 2026, MiniMax M1 80K is 53% cheaper on blended LLM API pricing. MiniMax M1 80K costs $0.55 per million input tokens and $2.20 per million output tokens ($2.75 blended 1M-in + 1M-out). GLM-5.3 costs $1.40 / $4.40 per million tokens ($5.80 blended). Sources: https://docs.z.ai/guides/overview/pricing and https://anotherwrapper.com/tools/llm-pricing. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does GLM-5.3 vs MiniMax M1 80K cost per million tokens?

    GLM-5.3 Z AI API pricing is $1.40 input and $4.40 output per million tokens via Z AI. MiniMax M1 80K MiniMax API pricing is $0.55 input and $2.20 output per million tokens via MiniMax. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.

    Which is better for coding, GLM-5.3 or MiniMax M1 80K?

    MiniMax M1 80K has a published SWE-bench Verified score of 56%. GLM-5.3 does not have that eval on this page yet.

    What is the context window for GLM-5.3 vs MiniMax M1 80K?

    GLM-5.3 supports a 1M token context window, while MiniMax M1 80K supports 1M tokens. GLM-5.3 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-5.3 or MiniMax M1 80K?

    GLM-5.3 leads on 1 of 1 shared benchmarks versus MiniMax M1 80K'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 GLM-5.3 or MiniMax M1 80K better for production use?

    Both GLM-5.3 and MiniMax M1 80K are production API models. For cost-sensitive production traffic, MiniMax M1 80K 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-5.3 and MiniMax M1 80K in my app?

    Yes. Call GLM-5.3 through Z AI and MiniMax M1 80K through MiniMax 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-5.3 vs MiniMax M1 80K pricing data?

    List rates are the latest published Z AI API pricing and MiniMax API pricing, quoted per million tokens. Official rate sheets: https://docs.z.ai/guides/overview/pricing and https://anotherwrapper.com/tools/llm-pricing. 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-5.3 and MiniMax M1 80K?

    GLM-5.3 supports up to an unspecified number of output tokens per request, while MiniMax M1 80K supports up to 40K 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-5.3 or MiniMax M1 80K?

    Neither GLM-5.3 nor MiniMax M1 80K 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-5.3 vs MiniMax M1 80K comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open GLM-5.3 or MiniMax M1 80K 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-5.3 vs MiniMax M1 80K pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. GLM-5.3 costs $1.40/M input and $4.40/M output. MiniMax M1 80K costs $0.55/M input and $2.20/M output.

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

    The index

    All Large Language Models

    280 models across 33 providers. Search or jump to a lab — every model page stays linked here.

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