GLM-4-32B-0414-128K vs Hy3

    Comparison

    As of August 20, 2026, GLM-4-32B-0414-128K is 70% cheaper per million tokens than Hy3. GLM-4-32B-0414-128K is $0.10 / $0.10 per million input/output tokens versus Hy3 at $0.13 / $0.53. Sources: https://docs.z.ai/guides/overview/pricing and https://www.tencentcloud.com/document/product/1300/78937

    Sources: Z AI pricing (https://docs.z.ai/guides/overview/pricing); Tencent pricing (https://www.tencentcloud.com/document/product/1300/78937)

    Better value

    GLM-4-32B-0414-128K

    Z AI

    $0.20blended / 1M

    Input

    $0.10

    Output

    $0.10

    128K ctx|Open Source
    70%
    cheaper

    Hy3

    Tencent

    $0.66blended / 1M

    Input

    $0.13

    Output

    $0.53

    262.1K ctx|Open Source
    Save $0.46 per million tokens by choosing GLM-4-32B-0414-128K over Hy3.

    GLM-4-32B-0414-128K vs Hy3 comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    GLM-4-32B-0414-128K
    Hy3
    Provider
    Provider
    Z AI
    Tencent
    License
    Open Source
    Open Source
    Release Date
    2025-04-14
    2026-07-06
    Pricing (per 1M tokens)
    Input Price-24%
    $0.10
    $0.13
    Output Price-81%
    $0.10
    $0.53
    Blended (1M + 1M)
    $0.20
    $0.66
    Model Details
    Context Window
    128K
    262.1K
    Max Output Tokens
    N/A
    N/A
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    N/A
    N/A

    Verdict

    GLM-4-32B-0414-128K vs Hy3: the bottom line

    Both models are closely matched on benchmarks. GLM-4-32B-0414-128K has the pricing advantage, making it the better value unless Hy3's specific capabilities are critical to your workflow.

    GLM-4-32B-0414-128K vs Hy3 FAQ

    Which is cheaper, GLM-4-32B-0414-128K or Hy3?

    As of August 20, 2026, GLM-4-32B-0414-128K is 70% cheaper on blended LLM API pricing. GLM-4-32B-0414-128K costs $0.10 per million input tokens and $0.10 per million output tokens ($0.20 blended 1M-in + 1M-out). Hy3 costs $0.13 / $0.53 per million tokens ($0.66 blended). Sources: https://docs.z.ai/guides/overview/pricing and https://www.tencentcloud.com/document/product/1300/78937. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does GLM-4-32B-0414-128K vs Hy3 cost per million tokens?

    GLM-4-32B-0414-128K Z AI API pricing is $0.10 input and $0.10 output per million tokens via Z AI. Hy3 Tencent API pricing is $0.13 input and $0.53 output per million tokens via Tencent. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.

    Which is better for coding, GLM-4-32B-0414-128K or Hy3?

    Hy3 has a published SWE-bench Verified score of 78%. GLM-4-32B-0414-128K does not have that eval on this page yet.

    What is the context window for GLM-4-32B-0414-128K vs Hy3?

    GLM-4-32B-0414-128K supports a 128K token context window, while Hy3 supports 262K tokens. Hy3 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-4-32B-0414-128K or Hy3?

    Shared benchmark scores for GLM-4-32B-0414-128K and Hy3 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-4-32B-0414-128K or Hy3 better for production use?

    Both GLM-4-32B-0414-128K and Hy3 are production API models. For cost-sensitive production traffic, GLM-4-32B-0414-128K 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-4-32B-0414-128K and Hy3 in my app?

    Yes. Call GLM-4-32B-0414-128K through Z AI and Hy3 through Tencent 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-4-32B-0414-128K vs Hy3 pricing data?

    List rates are the latest published Z AI API pricing and Tencent API pricing, quoted per million tokens. Official rate sheets: https://docs.z.ai/guides/overview/pricing and https://www.tencentcloud.com/document/product/1300/78937. 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-4-32B-0414-128K and Hy3?

    GLM-4-32B-0414-128K supports up to an unspecified number of output tokens per request, while Hy3 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, GLM-4-32B-0414-128K or Hy3?

    Neither GLM-4-32B-0414-128K nor Hy3 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-4-32B-0414-128K vs Hy3 comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open GLM-4-32B-0414-128K or Hy3 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-4-32B-0414-128K vs Hy3 pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. GLM-4-32B-0414-128K costs $0.10/M input and $0.10/M output. Hy3 costs $0.13/M input and $0.53/M output.

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

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