Llama 4 Maverick vs Ministral 3 (8B Instruct 2512)

    Comparison

    As of August 25, 2026, Ministral 3 (8B Instruct 2512) is 71% cheaper per million tokens than Llama 4 Maverick. Llama 4 Maverick is $0.17 / $0.85 per million input/output tokens versus Ministral 3 (8B Instruct 2512) at $0.15 / $0.15. Sources: https://llama.meta.com/ and https://openrouter.ai/api/v1/models

    Sources: Meta pricing (https://llama.meta.com/); OpenRouter pricing (https://openrouter.ai/api/v1/models)

    Llama 4 Maverick

    Meta

    $1.02blended / 1M

    Input

    $0.17

    Output

    $0.85

    1M ctx|Open Source
    71%
    cheaper
    Better value

    Ministral 3 (8B Instruct 2512)

    Mistral

    $0.30blended / 1M

    Input

    $0.15

    Output

    $0.15

    262.1K ctx|Open Source
    Save $0.72 per million tokens by choosing Ministral 3 (8B Instruct 2512) over Llama 4 Maverick.

    Llama 4 Maverick vs Ministral 3 (8B Instruct 2512) comparison

    Token pricing, specs, and benchmarks side by side

    Shared benchmarks

    Each bar is share of the current leader on that eval. Click a row to open the board.

    Llama 4 MaverickMinistral 3 (8B Instruct 2512)

    Score vs price

    MATH. Left is cheaper. Up is a higher score. The line is the best score you can buy at each price.

    Best score at each priceLlama 4 MaverickMinistral 3 (8B Instruct 2512)
    Metric
    Llama 4 Maverick
    Ministral 3 (8B Instruct 2512)
    Provider
    Provider
    Meta
    Mistral
    License
    Open Source
    Open Source
    Release Date
    2025-04-05
    2025-12-04
    Pricing (per 1M tokens)
    Input Price+13%
    $0.17
    $0.15
    Output Price+467%
    $0.85
    $0.15
    Blended (1M + 1M)
    $1.02
    $0.30
    Model Details
    Context Window
    1M
    262.1K
    Max Output Tokens
    1M
    N/A
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    69.4 tok/s
    N/A
    Benchmarks
    5.7%
    69.8%
    69.8%
    33.1%
    59.6%
    53.6%
    85.5%
    73.4%
    61.2%
    87.6%
    50.9%
    90%
    0%
    94.4%
    73.7%
    77.6%
    92.3%
    80.5%
    31.7%
    66.8%
    Benchmark Wins
    Llama 4 Maverick 0|1 Ministral 3 (8B Instruct 2512)

    Verdict

    Llama 4 Maverick vs Ministral 3 (8B Instruct 2512): the bottom line

    Ministral 3 (8B Instruct 2512) offers both lower pricing and stronger benchmark performance across the board, making it the clear value leader in this comparison.

    Llama 4 Maverick vs Ministral 3 (8B Instruct 2512) FAQ

    Which is cheaper, Llama 4 Maverick or Ministral 3 (8B Instruct 2512)?

    As of August 25, 2026, Ministral 3 (8B Instruct 2512) is 71% cheaper on blended LLM API pricing. Ministral 3 (8B Instruct 2512) costs $0.15 per million input tokens and $0.15 per million output tokens ($0.30 blended 1M-in + 1M-out). Llama 4 Maverick costs $0.17 / $0.85 per million tokens ($1.02 blended). Sources: https://llama.meta.com/ and https://openrouter.ai/api/v1/models. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does Llama 4 Maverick vs Ministral 3 (8B Instruct 2512) cost per million tokens?

    Llama 4 Maverick Meta API pricing is $0.17 input and $0.85 output per million tokens via Meta. Ministral 3 (8B Instruct 2512) Mistral API pricing is $0.15 input and $0.15 output per million tokens via OpenRouter. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.

    Which is better for coding, Llama 4 Maverick or Ministral 3 (8B Instruct 2512)?

    Llama 4 Maverick has a published LiveCodeBench score of 43.4%. Ministral 3 (8B Instruct 2512) does not have that eval on this page yet.

    What is the context window for Llama 4 Maverick vs Ministral 3 (8B Instruct 2512)?

    Llama 4 Maverick supports a 1M token context window, while Ministral 3 (8B Instruct 2512) supports 262K tokens. Llama 4 Maverick 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, Llama 4 Maverick or Ministral 3 (8B Instruct 2512)?

    Ministral 3 (8B Instruct 2512) leads on 1 of 1 shared benchmarks versus Llama 4 Maverick'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 Llama 4 Maverick or Ministral 3 (8B Instruct 2512) better for production use?

    Both Llama 4 Maverick and Ministral 3 (8B Instruct 2512) are production API models. For cost-sensitive production traffic, Ministral 3 (8B Instruct 2512) 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 Llama 4 Maverick and Ministral 3 (8B Instruct 2512) in my app?

    Yes. Call Llama 4 Maverick through Meta and Ministral 3 (8B Instruct 2512) through OpenRouter 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 Llama 4 Maverick vs Ministral 3 (8B Instruct 2512) pricing data?

    List rates are the latest published Meta API pricing and Mistral API pricing, quoted per million tokens. Official rate sheets: https://llama.meta.com/ and https://openrouter.ai/api/v1/models. 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 Llama 4 Maverick and Ministral 3 (8B Instruct 2512)?

    Llama 4 Maverick supports up to 1M output tokens per request, while Ministral 3 (8B Instruct 2512) 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, Llama 4 Maverick or Ministral 3 (8B Instruct 2512)?

    Llama 4 Maverick has a measured throughput of approximately 69.4 tokens/second. Throughput data for Ministral 3 (8B Instruct 2512) 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 Llama 4 Maverick vs Ministral 3 (8B Instruct 2512) comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Llama 4 Maverick or Ministral 3 (8B Instruct 2512) from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

    Llama 4 Maverick vs Ministral 3 (8B Instruct 2512) pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Llama 4 Maverick costs $0.17/M input and $0.85/M output. Ministral 3 (8B Instruct 2512) costs $0.15/M input and $0.15/M output via OpenRouter.

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

    The index

    All Large Language Models

    280 models across 33 providers. Search or jump to a lab — every model page stays linked here.

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    1 models

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    1 models

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    1 models

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    1 models

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    1 models

    Unisound

    1 models

    Upstage

    1 models

    Next step

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