GLM-5 vs Qwen3.8-2.4T-A95B

    Comparison

    As of August 20, 2026, GLM-5 is 48% cheaper per million tokens than Qwen3.8-2.4T-A95B. GLM-5 is $1.00 / $3.20 per million input/output tokens versus Qwen3.8-2.4T-A95B at $2.00 / $6.00. Sources: https://docs.z.ai/guides/overview/pricing and https://www.alibabacloud.com/help/en/model-studio/pricing

    Sources: Z AI pricing (https://docs.z.ai/guides/overview/pricing); Qwen pricing (https://www.alibabacloud.com/help/en/model-studio/pricing)

    Better value

    GLM-5

    Z AI

    $4.20blended / 1M

    Input

    $1.00

    Output

    $3.20

    200K ctx|Open Source
    48%
    cheaper

    Qwen3.8-2.4T-A95B

    Qwen

    $8.00blended / 1M

    Input

    $2.00

    Output

    $6.00

    1M ctx|Open Source
    Save $3.80 per million tokens by choosing GLM-5 over Qwen3.8-2.4T-A95B.

    GLM-5 vs Qwen3.8-2.4T-A95B comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    GLM-5
    Qwen3.8-2.4T-A95B
    Provider
    Provider
    Z AI
    Qwen
    License
    Open Source
    Open Source
    Release Date
    2026-01-26
    2026-08-12
    Pricing (per 1M tokens)
    Input Price-50%
    $1.00
    $2.00
    Output Price-47%
    $3.20
    $6.00
    Blended (1M + 1M)
    $4.20
    $8.00
    Model Details
    Context Window
    200K
    1M
    Max Output Tokens
    128K
    N/A
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    30 tok/s
    N/A

    Verdict

    GLM-5 vs Qwen3.8-2.4T-A95B: the bottom line

    Both models are closely matched on benchmarks. GLM-5 has the pricing advantage, making it the better value unless Qwen3.8-2.4T-A95B's specific capabilities are critical to your workflow.

    GLM-5 vs Qwen3.8-2.4T-A95B FAQ

    Which is cheaper, GLM-5 or Qwen3.8-2.4T-A95B?

    As of August 20, 2026, GLM-5 is 48% cheaper on blended LLM API pricing. GLM-5 costs $1.00 per million input tokens and $3.20 per million output tokens ($4.20 blended 1M-in + 1M-out). Qwen3.8-2.4T-A95B costs $2.00 / $6.00 per million tokens ($8.00 blended). Sources: https://docs.z.ai/guides/overview/pricing and https://www.alibabacloud.com/help/en/model-studio/pricing. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does GLM-5 vs Qwen3.8-2.4T-A95B cost per million tokens?

    GLM-5 Z AI API pricing is $1.00 input and $3.20 output per million tokens via Z AI. Qwen3.8-2.4T-A95B Qwen API pricing is $2.00 input and $6.00 output per million tokens via Qwen. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.

    Which is better for coding, GLM-5 or Qwen3.8-2.4T-A95B?

    GLM-5 has a published SWE-bench Verified score of 77.8%. Qwen3.8-2.4T-A95B does not have that eval on this page yet.

    What is the context window for GLM-5 vs Qwen3.8-2.4T-A95B?

    GLM-5 supports a 200K token context window, while Qwen3.8-2.4T-A95B supports 1M tokens. Qwen3.8-2.4T-A95B 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 or Qwen3.8-2.4T-A95B?

    Shared benchmark scores for GLM-5 and Qwen3.8-2.4T-A95B 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 or Qwen3.8-2.4T-A95B better for production use?

    Both GLM-5 and Qwen3.8-2.4T-A95B are production API models. For cost-sensitive production traffic, GLM-5 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 and Qwen3.8-2.4T-A95B in my app?

    Yes. Call GLM-5 through Z AI and Qwen3.8-2.4T-A95B through Qwen 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 vs Qwen3.8-2.4T-A95B pricing data?

    List rates are the latest published Z AI API pricing and Qwen API pricing, quoted per million tokens. Official rate sheets: https://docs.z.ai/guides/overview/pricing and https://www.alibabacloud.com/help/en/model-studio/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 and Qwen3.8-2.4T-A95B?

    GLM-5 supports up to 128K output tokens per request, while Qwen3.8-2.4T-A95B 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-5 or Qwen3.8-2.4T-A95B?

    GLM-5 has a measured throughput of approximately 30 tokens/second. Throughput data for Qwen3.8-2.4T-A95B 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-5 vs Qwen3.8-2.4T-A95B 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 or Qwen3.8-2.4T-A95B 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 vs Qwen3.8-2.4T-A95B pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. GLM-5 costs $1.00/M input and $3.20/M output. Qwen3.8-2.4T-A95B costs $2.00/M input and $6.00/M output.

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

    The index

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