GLM-4.6V vs Qwen2.5-Coder 7B Instruct

    Comparison

    As of August 30, 2026, Qwen2.5-Coder 7B Instruct is 50% cheaper per million tokens than GLM-4.6V. GLM-4.6V is $0.30 / $0.90 per million input/output tokens versus Qwen2.5-Coder 7B Instruct at $0.30 / $0.30. 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)

    GLM-4.6V

    Z AI

    $1.20blended / 1M

    Input

    $0.30

    Output

    $0.90

    131.1K ctx|Open Source
    50%
    cheaper
    Better value

    Qwen2.5-Coder 7B Instruct

    Qwen

    $0.60blended / 1M

    Input

    $0.30

    Output

    $0.30

    131.1K ctx|Open Source
    Save $0.60 per million tokens by choosing Qwen2.5-Coder 7B Instruct over GLM-4.6V.

    GLM-4.6V vs Qwen2.5-Coder 7B Instruct comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    GLM-4.6V
    Qwen2.5-Coder 7B Instruct
    Provider
    Provider
    Z AI
    Qwen
    License
    Open Source
    Open Source
    Release Date
    N/A
    2024-09-19
    Pricing (per 1M tokens)
    Input Price0%
    $0.30
    $0.30
    Output Price+200%
    $0.90
    $0.30
    Blended (1M + 1M)
    $1.20
    $0.60
    Model Details
    Context Window
    131.1K
    131.1K
    Max Output Tokens
    N/A
    N/A
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    N/A
    N/A
    Benchmarks
    67.6%
    76.8%
    88.4%
    46.6%
    55.6%
    60.9%
    83.9%
    83.5%
    68%
    40.1%
    66.6%
    34%
    34%
    50.6%
    72.9%

    Verdict

    GLM-4.6V vs Qwen2.5-Coder 7B Instruct: the bottom line

    Both models are closely matched on benchmarks. Qwen2.5-Coder 7B Instruct has the pricing advantage, making it the better value unless GLM-4.6V's specific capabilities are critical to your workflow.

    GLM-4.6V vs Qwen2.5-Coder 7B Instruct FAQ

    Which is cheaper, GLM-4.6V or Qwen2.5-Coder 7B Instruct?

    As of August 30, 2026, Qwen2.5-Coder 7B Instruct is 50% cheaper on blended LLM API pricing. Qwen2.5-Coder 7B Instruct costs $0.30 per million input tokens and $0.30 per million output tokens ($0.60 blended 1M-in + 1M-out). GLM-4.6V costs $0.30 / $0.90 per million tokens ($1.20 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-4.6V vs Qwen2.5-Coder 7B Instruct cost per million tokens?

    GLM-4.6V Z AI API pricing is $0.30 input and $0.90 output per million tokens via Z AI. Qwen2.5-Coder 7B Instruct Qwen API pricing is $0.30 input and $0.30 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-4.6V or Qwen2.5-Coder 7B Instruct?

    Qwen2.5-Coder 7B Instruct has a published LiveCodeBench score of 18.2%. GLM-4.6V does not have that eval on this page yet.

    What is the context window for GLM-4.6V vs Qwen2.5-Coder 7B Instruct?

    GLM-4.6V supports a 131K token context window, while Qwen2.5-Coder 7B Instruct supports 131K tokens. Both models have the same context window size. 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-4.6V or Qwen2.5-Coder 7B Instruct?

    Shared benchmark scores for GLM-4.6V and Qwen2.5-Coder 7B Instruct 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-4.6V or Qwen2.5-Coder 7B Instruct better for production use?

    Both GLM-4.6V and Qwen2.5-Coder 7B Instruct are production API models. For cost-sensitive production traffic, Qwen2.5-Coder 7B Instruct 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-4.6V and Qwen2.5-Coder 7B Instruct in my app?

    Yes. Call GLM-4.6V through Z AI and Qwen2.5-Coder 7B Instruct 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-4.6V vs Qwen2.5-Coder 7B Instruct 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-4.6V and Qwen2.5-Coder 7B Instruct?

    GLM-4.6V supports up to an unspecified number of output tokens per request, while Qwen2.5-Coder 7B Instruct 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-4.6V or Qwen2.5-Coder 7B Instruct?

    Neither GLM-4.6V nor Qwen2.5-Coder 7B Instruct 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-4.6V vs Qwen2.5-Coder 7B Instruct comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open GLM-4.6V or Qwen2.5-Coder 7B Instruct 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-4.6V vs Qwen2.5-Coder 7B Instruct pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. GLM-4.6V costs $0.30/M input and $0.90/M output. Qwen2.5-Coder 7B Instruct costs $0.30/M input and $0.30/M output.

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

    The index

    All Large Language Models

    343 models across 36 providers. Search or jump to a lab — every model page stays linked here.

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    2 models

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    1 models

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    1 models

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    1 models

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    2 models

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    1 models

    OpenBMB

    1 models

    Sakana AI

    1 models

    Sarvam AI

    2 models

    Tencent

    1 models

    Thinking Machines

    1 models

    Unisound

    1 models

    Upstage

    1 models

    Next step

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