GLM-4-32B-0414-128K vs GPT-3.5 Turbo

    Comparison

    As of August 25, 2026, GLM-4-32B-0414-128K is 90% cheaper per million tokens than GPT-3.5 Turbo. GLM-4-32B-0414-128K is $0.10 / $0.10 per million input/output tokens versus GPT-3.5 Turbo at $0.50 / $1.50. Sources: https://docs.z.ai/guides/overview/pricing and https://developers.openai.com/api/docs/pricing

    Sources: Z AI pricing (https://docs.z.ai/guides/overview/pricing); OpenAI API pricing (https://developers.openai.com/api/docs/pricing)

    Better value

    GLM-4-32B-0414-128K

    Z AI

    $0.20blended / 1M

    Input

    $0.10

    Output

    $0.10

    128K ctx|Open Source
    90%
    cheaper

    GPT-3.5 Turbo

    OpenAI

    $2.00blended / 1M

    Input

    $0.50

    Output

    $1.50

    16.4K ctx|Proprietary
    Save $1.80 per million tokens by choosing GLM-4-32B-0414-128K over GPT-3.5 Turbo.

    GLM-4-32B-0414-128K vs GPT-3.5 Turbo comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    GLM-4-32B-0414-128K
    GPT-3.5 Turbo
    Provider
    Provider
    Z AI
    OpenAI
    License
    Open Source
    Proprietary
    Release Date
    2025-04-14
    2023-03-21
    Pricing (per 1M tokens)
    Input Price-80%
    $0.10
    $0.50
    Output Price-93%
    $0.10
    $1.50
    Blended (1M + 1M)
    $0.20
    $2.00
    Model Details
    Context Window
    128K
    16.4K
    Max Output Tokens
    N/A
    4.1K
    Knowledge Cutoff
    N/A
    2021-09-30
    Throughput
    N/A
    100 tok/s
    Benchmarks
    30.8%
    27.2%
    2.2%
    69.8%
    0%
    85.5%
    68%
    43.1%
    61.6%
    70.2%
    57.8%
    58.5%
    56.3%

    Verdict

    GLM-4-32B-0414-128K vs GPT-3.5 Turbo: 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 GPT-3.5 Turbo's specific capabilities are critical to your workflow.

    GLM-4-32B-0414-128K vs GPT-3.5 Turbo FAQ

    Which is cheaper, GLM-4-32B-0414-128K or GPT-3.5 Turbo?

    As of August 25, 2026, GLM-4-32B-0414-128K is 90% 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). GPT-3.5 Turbo costs $0.50 / $1.50 per million tokens ($2.00 blended). Sources: https://docs.z.ai/guides/overview/pricing and https://developers.openai.com/api/docs/pricing. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does GLM-4-32B-0414-128K vs GPT-3.5 Turbo 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. GPT-3.5 Turbo OpenAI API pricing is $0.50 input and $1.50 output per million tokens via OpenAI. 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 GPT-3.5 Turbo?

    GPT-3.5 Turbo has a published HumanEval score of 68%. 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 GPT-3.5 Turbo?

    GLM-4-32B-0414-128K supports a 128K token context window, while GPT-3.5 Turbo supports 16K tokens. GLM-4-32B-0414-128K 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 GPT-3.5 Turbo?

    Shared benchmark scores for GLM-4-32B-0414-128K and GPT-3.5 Turbo 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 GPT-3.5 Turbo better for production use?

    Both GLM-4-32B-0414-128K and GPT-3.5 Turbo 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 GPT-3.5 Turbo in my app?

    Yes. Call GLM-4-32B-0414-128K through Z AI and GPT-3.5 Turbo through OpenAI 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 GPT-3.5 Turbo pricing data?

    List rates are the latest published Z AI API pricing and OpenAI API pricing, quoted per million tokens. Official rate sheets: https://docs.z.ai/guides/overview/pricing and https://developers.openai.com/api/docs/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-4-32B-0414-128K and GPT-3.5 Turbo?

    GLM-4-32B-0414-128K supports up to an unspecified number of output tokens per request, while GPT-3.5 Turbo supports up to 4K 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 GPT-3.5 Turbo?

    GPT-3.5 Turbo has a measured throughput of approximately 100 tokens/second. Throughput data for GLM-4-32B-0414-128K 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 GLM-4-32B-0414-128K vs GPT-3.5 Turbo 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 GPT-3.5 Turbo 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 GPT-3.5 Turbo 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. GPT-3.5 Turbo costs $0.50/M input and $1.50/M output.

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

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