Muse Glimmer-30B vs QvQ-72B-Preview

    Comparison

    As of August 30, 2026, Muse Glimmer-30B is 23% cheaper per million tokens than QvQ-72B-Preview. Muse Glimmer-30B is $0.35 / $1.50 per million input/output tokens versus QvQ-72B-Preview at $1.20 / $1.20. Sources: https://llama.meta.com/ and https://www.alibabacloud.com/help/en/model-studio/pricing

    Sources: Meta pricing (https://llama.meta.com/); Qwen pricing (https://www.alibabacloud.com/help/en/model-studio/pricing)

    Better value

    Muse Glimmer-30B

    Meta

    $1.85blended / 1M

    Input

    $0.35

    Output

    $1.50

    131.1K ctx|Open Source
    23%
    cheaper

    QvQ-72B-Preview

    Qwen

    $2.40blended / 1M

    Input

    $1.20

    Output

    $1.20

    32.8K ctx|Open Source
    Save $0.55 per million tokens by choosing Muse Glimmer-30B over QvQ-72B-Preview.

    Muse Glimmer-30B vs QvQ-72B-Preview comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    Muse Glimmer-30B
    QvQ-72B-Preview
    Provider
    Provider
    Meta
    Qwen
    License
    Open Source
    Open Source
    Release Date
    2026-08-10
    2024-12-25
    Pricing (per 1M tokens)
    Input Price-71%
    $0.35
    $1.20
    Output Price+25%
    $1.50
    $1.20
    Blended (1M + 1M)
    $1.85
    $2.40
    Model Details
    Context Window
    131.1K
    32.8K
    Max Output Tokens
    N/A
    N/A
    Knowledge Cutoff
    2026-01-04
    N/A
    Throughput
    N/A
    N/A

    Verdict

    Muse Glimmer-30B vs QvQ-72B-Preview: the bottom line

    Both models are closely matched on benchmarks. Muse Glimmer-30B has the pricing advantage, making it the better value unless QvQ-72B-Preview's specific capabilities are critical to your workflow.

    Muse Glimmer-30B vs QvQ-72B-Preview FAQ

    Which is cheaper, Muse Glimmer-30B or QvQ-72B-Preview?

    As of August 30, 2026, Muse Glimmer-30B is 23% cheaper on blended LLM API pricing. Muse Glimmer-30B costs $0.35 per million input tokens and $1.50 per million output tokens ($1.85 blended 1M-in + 1M-out). QvQ-72B-Preview costs $1.20 / $1.20 per million tokens ($2.40 blended). Sources: https://llama.meta.com/ 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 Muse Glimmer-30B vs QvQ-72B-Preview cost per million tokens?

    Muse Glimmer-30B Meta API pricing is $0.35 input and $1.50 output per million tokens via Meta. QvQ-72B-Preview Qwen API pricing is $1.20 input and $1.20 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, Muse Glimmer-30B or QvQ-72B-Preview?

    Muse Glimmer-30B has a published SWE-bench Verified score of 76%. QvQ-72B-Preview does not have that eval on this page yet.

    What is the context window for Muse Glimmer-30B vs QvQ-72B-Preview?

    Muse Glimmer-30B supports a 131K token context window, while QvQ-72B-Preview supports 33K tokens. Muse Glimmer-30B 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, Muse Glimmer-30B or QvQ-72B-Preview?

    Shared benchmark scores for Muse Glimmer-30B and QvQ-72B-Preview 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 Muse Glimmer-30B or QvQ-72B-Preview better for production use?

    Both Muse Glimmer-30B and QvQ-72B-Preview are production API models. For cost-sensitive production traffic, Muse Glimmer-30B 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 Muse Glimmer-30B and QvQ-72B-Preview in my app?

    Yes. Call Muse Glimmer-30B through Meta and QvQ-72B-Preview 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 Muse Glimmer-30B vs QvQ-72B-Preview pricing data?

    List rates are the latest published Meta API pricing and Qwen API pricing, quoted per million tokens. Official rate sheets: https://llama.meta.com/ 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 Muse Glimmer-30B and QvQ-72B-Preview?

    Muse Glimmer-30B supports up to an unspecified number of output tokens per request, while QvQ-72B-Preview 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, Muse Glimmer-30B or QvQ-72B-Preview?

    Neither Muse Glimmer-30B nor QvQ-72B-Preview 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 Muse Glimmer-30B vs QvQ-72B-Preview comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Muse Glimmer-30B or QvQ-72B-Preview from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

    Muse Glimmer-30B vs QvQ-72B-Preview pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Muse Glimmer-30B costs $0.35/M input and $1.50/M output. QvQ-72B-Preview costs $1.20/M input and $1.20/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.

    Baidu

    2 models

    Inception

    1 models

    inclusionAI

    1 models

    LG AI Research

    1 models

    Liquid AI

    2 models

    Nous Research

    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

    You found the model. Now ship the product.

    Auth, billing, and the API layer are already decided. Fork 8 finished AI apps, or have us build the first version with you.