Grok-2 vs Muse Glimmer-30B

    Comparison

    As of August 20, 2026, Muse Glimmer-30B is 85% cheaper per million tokens than Grok-2. Grok-2 is $2.00 / $10.00 per million input/output tokens versus Muse Glimmer-30B at $0.35 / $1.50. Sources: https://docs.x.ai/docs/models and https://llama.meta.com/

    Sources: xAI API pricing (https://docs.x.ai/docs/models); Meta pricing (https://llama.meta.com/)

    Grok-2

    xAI

    $12.00blended / 1M

    Input

    $2.00

    Output

    $10.00

    128K ctx|Proprietary
    85%
    cheaper
    Better value

    Muse Glimmer-30B

    Meta

    $1.85blended / 1M

    Input

    $0.35

    Output

    $1.50

    131.1K ctx|Open Source
    Save $10.15 per million tokens by choosing Muse Glimmer-30B over Grok-2.

    Grok-2 vs Muse Glimmer-30B comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    Grok-2
    Muse Glimmer-30B
    Provider
    Provider
    xAI
    Meta
    License
    Proprietary
    Open Source
    Release Date
    2024-08-13
    2026-08-10
    Pricing (per 1M tokens)
    Input Price+471%
    $2.00
    $0.35
    Output Price+567%
    $10.00
    $1.50
    Blended (1M + 1M)
    $12.00
    $1.85
    Model Details
    Context Window
    128K
    131.1K
    Max Output Tokens
    8K
    N/A
    Knowledge Cutoff
    N/A
    2026-01-04
    Throughput
    85 tok/s
    N/A
    Benchmarks
    22%
    56%
    83.5%
    43.6%
    77%
    80%
    75.5%
    74%
    78.8%
    87.5%
    66.1%
    88.4%
    76.1%
    94.7%
    65.1%
    74.6%
    93.6%
    43.3%
    69%
    75.5%
    44.3%
    23.5%
    Benchmark Wins
    Grok-2 0|1 Muse Glimmer-30B

    Verdict

    Grok-2 vs Muse Glimmer-30B: the bottom line

    Muse Glimmer-30B offers both lower pricing and stronger benchmark performance across the board, making it the clear value leader in this comparison.

    Grok-2 vs Muse Glimmer-30B FAQ

    Which is cheaper, Grok-2 or Muse Glimmer-30B?

    As of August 20, 2026, Muse Glimmer-30B is 85% 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). Grok-2 costs $2.00 / $10.00 per million tokens ($12.00 blended). Sources: https://docs.x.ai/docs/models and https://llama.meta.com/. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does Grok-2 vs Muse Glimmer-30B cost per million tokens?

    Grok-2 xAI API pricing is $2.00 input and $10.00 output per million tokens via xAI. Muse Glimmer-30B Meta API pricing is $0.35 input and $1.50 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, Grok-2 or Muse Glimmer-30B?

    Muse Glimmer-30B has a published SWE-bench Verified score of 76%. Grok-2 does not have that eval on this page yet.

    What is the context window for Grok-2 vs Muse Glimmer-30B?

    Grok-2 supports a 128K token context window, while Muse Glimmer-30B supports 131K 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, Grok-2 or Muse Glimmer-30B?

    Muse Glimmer-30B leads on 1 of 1 shared benchmarks versus Grok-2's 0 wins. 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 Grok-2 or Muse Glimmer-30B better for production use?

    Both Grok-2 and Muse Glimmer-30B 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 Grok-2 and Muse Glimmer-30B in my app?

    Yes. Call Grok-2 through xAI and Muse Glimmer-30B 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 Grok-2 vs Muse Glimmer-30B pricing data?

    List rates are the latest published xAI API pricing and Meta API pricing, quoted per million tokens. Official rate sheets: https://docs.x.ai/docs/models 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 Grok-2 and Muse Glimmer-30B?

    Grok-2 supports up to 8K output tokens per request, while Muse Glimmer-30B 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, Grok-2 or Muse Glimmer-30B?

    Grok-2 has a measured throughput of approximately 85 tokens/second. Throughput data for Muse Glimmer-30B 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 Grok-2 vs Muse Glimmer-30B comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Grok-2 or Muse Glimmer-30B from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

    Grok-2 vs Muse Glimmer-30B pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Grok-2 costs $2.00/M input and $10.00/M output. Muse Glimmer-30B costs $0.35/M input and $1.50/M output.

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

    The index

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