GLM-4.5V vs Llama 4 Scout

    Comparison

    As of August 20, 2026, Llama 4 Scout is 84% cheaper per million tokens than GLM-4.5V. GLM-4.5V is $0.60 / $1.80 per million input/output tokens versus Llama 4 Scout at $0.08 / $0.30. Sources: https://docs.z.ai/guides/overview/pricing and https://llama.meta.com/

    Sources: Z AI pricing (https://docs.z.ai/guides/overview/pricing); Meta pricing (https://llama.meta.com/)

    GLM-4.5V

    Z AI

    $2.40blended / 1M

    Input

    $0.60

    Output

    $1.80

    65.5K ctx|Open Source
    84%
    cheaper
    Better value

    Llama 4 Scout

    Meta

    $0.38blended / 1M

    Input

    $0.08

    Output

    $0.30

    10M ctx|Open Source
    Save $2.02 per million tokens by choosing Llama 4 Scout over GLM-4.5V.

    GLM-4.5V vs Llama 4 Scout comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    GLM-4.5V
    Llama 4 Scout
    Provider
    Provider
    Z AI
    Meta
    License
    Open Source
    Open Source
    Release Date
    2025-08-11
    2025-04-05
    Pricing (per 1M tokens)
    Input Price+650%
    $0.60
    $0.08
    Output Price+500%
    $1.80
    $0.30
    Blended (1M + 1M)
    $2.40
    $0.38
    Model Details
    Context Window
    65.5K
    10M
    Max Output Tokens
    131.1K
    10M
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    N/A
    76.1 tok/s
    Benchmarks
    57.2%
    57.2%
    17.0%
    79.6%
    69.4%
    50.3%
    88.8%
    0%
    94.4%
    70.7%
    67.8%
    90.6%
    74.3%
    31.5%

    Verdict

    GLM-4.5V vs Llama 4 Scout: the bottom line

    Both models are closely matched on benchmarks. Llama 4 Scout has the pricing advantage, making it the better value unless GLM-4.5V's specific capabilities are critical to your workflow.

    GLM-4.5V vs Llama 4 Scout FAQ

    Which is cheaper, GLM-4.5V or Llama 4 Scout?

    As of August 20, 2026, Llama 4 Scout is 84% cheaper on blended LLM API pricing. Llama 4 Scout costs $0.08 per million input tokens and $0.30 per million output tokens ($0.38 blended 1M-in + 1M-out). GLM-4.5V costs $0.60 / $1.80 per million tokens ($2.40 blended). Sources: https://docs.z.ai/guides/overview/pricing and https://llama.meta.com/. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does GLM-4.5V vs Llama 4 Scout cost per million tokens?

    GLM-4.5V Z AI API pricing is $0.60 input and $1.80 output per million tokens via Z AI. Llama 4 Scout Meta API pricing is $0.08 input and $0.30 output per million tokens via Meta. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.

    Which is better for coding, GLM-4.5V or Llama 4 Scout?

    Llama 4 Scout has a published LiveCodeBench score of 32.8%. GLM-4.5V does not have that eval on this page yet.

    What is the context window for GLM-4.5V vs Llama 4 Scout?

    GLM-4.5V supports a 66K token context window, while Llama 4 Scout supports 10M tokens. Llama 4 Scout 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-4.5V or Llama 4 Scout?

    Shared benchmark scores for GLM-4.5V and Llama 4 Scout 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-4.5V or Llama 4 Scout better for production use?

    Both GLM-4.5V and Llama 4 Scout are production API models. For cost-sensitive production traffic, Llama 4 Scout 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-4.5V and Llama 4 Scout in my app?

    Yes. Call GLM-4.5V through Z AI and Llama 4 Scout through Meta 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-4.5V vs Llama 4 Scout pricing data?

    List rates are the latest published Z AI API pricing and Meta API pricing, quoted per million tokens. Official rate sheets: https://docs.z.ai/guides/overview/pricing and https://llama.meta.com/. 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-4.5V and Llama 4 Scout?

    GLM-4.5V supports up to 131K output tokens per request, while Llama 4 Scout supports up to 10M 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-4.5V or Llama 4 Scout?

    Llama 4 Scout has a measured throughput of approximately 76.1 tokens/second. Throughput data for GLM-4.5V 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-4.5V vs Llama 4 Scout comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open GLM-4.5V or Llama 4 Scout 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-4.5V vs Llama 4 Scout pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. GLM-4.5V costs $0.60/M input and $1.80/M output. Llama 4 Scout costs $0.08/M input and $0.30/M output.

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

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