Llama 3.3 70B Instruct vs MiniStral 3 (14B Instruct 2512)

    Comparison

    As of August 25, 2026, Llama 3.3 70B Instruct and MiniStral 3 (14B Instruct 2512) have the same blended API cost at $0.40 per 1 million input plus 1 million output tokens. Llama 3.3 70B Instruct is $0.20 / $0.20 per million tokens versus MiniStral 3 (14B Instruct 2512) at $0.20 / $0.20. 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 3.3 70B Instruct

    Meta

    $0.40blended / 1M

    Input

    $0.20

    Output

    $0.20

    128K ctx|Open Source
    vs

    MiniStral 3 (14B Instruct 2512)

    Mistral

    $0.40blended / 1M

    Input

    $0.20

    Output

    $0.20

    262.1K ctx|Open Source

    Llama 3.3 70B Instruct vs MiniStral 3 (14B 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 3.3 70B InstructMiniStral 3 (14B 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 3.3 70B InstructMiniStral 3 (14B Instruct 2512)
    Metric
    Llama 3.3 70B Instruct
    MiniStral 3 (14B Instruct 2512)
    Provider
    Provider
    Meta
    Mistral
    License
    Open Source
    Open Source
    Release Date
    2024-12-06
    2025-12-04
    Pricing (per 1M tokens)
    Input Price0%
    $0.20
    $0.20
    Output Price0%
    $0.20
    $0.20
    Blended (1M + 1M)
    $0.40
    $0.40
    Model Details
    Context Window
    128K
    262.1K
    Max Output Tokens
    128K
    N/A
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    42 tok/s
    N/A
    Benchmarks
    50.5%
    47.4%
    26.0%
    92.1%
    5.1%
    31.9%
    86%
    88.4%
    77%
    90.4%
    55.1%
    77.3%
    0%
    50.2%
    91.1%
    68.9%
    19.9%
    68.5%
    Benchmark Wins
    Llama 3.3 70B Instruct 0|1 MiniStral 3 (14B Instruct 2512)

    Verdict

    Llama 3.3 70B Instruct vs MiniStral 3 (14B Instruct 2512): the bottom line

    Llama 3.3 70B Instruct offers significantly lower pricing, while MiniStral 3 (14B Instruct 2512) leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

    Llama 3.3 70B Instruct vs MiniStral 3 (14B Instruct 2512) FAQ

    Which is cheaper, Llama 3.3 70B Instruct or MiniStral 3 (14B Instruct 2512)?

    As of August 25, 2026, Llama 3.3 70B Instruct is 0% cheaper on blended LLM API pricing. Llama 3.3 70B Instruct costs $0.20 per million input tokens and $0.20 per million output tokens ($0.40 blended 1M-in + 1M-out). MiniStral 3 (14B Instruct 2512) costs $0.20 / $0.20 per million tokens ($0.40 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 3.3 70B Instruct vs MiniStral 3 (14B Instruct 2512) cost per million tokens?

    Llama 3.3 70B Instruct Meta API pricing is $0.20 input and $0.20 output per million tokens via Meta. MiniStral 3 (14B Instruct 2512) Mistral API pricing is $0.20 input and $0.20 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 3.3 70B Instruct or MiniStral 3 (14B Instruct 2512)?

    Llama 3.3 70B Instruct has a published HumanEval score of 88.4%. MiniStral 3 (14B Instruct 2512) does not have that eval on this page yet.

    What is the context window for Llama 3.3 70B Instruct vs MiniStral 3 (14B Instruct 2512)?

    Llama 3.3 70B Instruct supports a 128K token context window, while MiniStral 3 (14B Instruct 2512) supports 262K tokens. MiniStral 3 (14B Instruct 2512) 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 3.3 70B Instruct or MiniStral 3 (14B Instruct 2512)?

    MiniStral 3 (14B Instruct 2512) leads on 1 of 1 shared benchmarks versus Llama 3.3 70B Instruct'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 3.3 70B Instruct or MiniStral 3 (14B Instruct 2512) better for production use?

    Both Llama 3.3 70B Instruct and MiniStral 3 (14B Instruct 2512) are production API models. For cost-sensitive production traffic, Llama 3.3 70B 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 Llama 3.3 70B Instruct and MiniStral 3 (14B Instruct 2512) in my app?

    Yes. Call Llama 3.3 70B Instruct through Meta and MiniStral 3 (14B 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 3.3 70B Instruct vs MiniStral 3 (14B 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 3.3 70B Instruct and MiniStral 3 (14B Instruct 2512)?

    Llama 3.3 70B Instruct supports up to 128K output tokens per request, while MiniStral 3 (14B 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 3.3 70B Instruct or MiniStral 3 (14B Instruct 2512)?

    Llama 3.3 70B Instruct has a measured throughput of approximately 42 tokens/second. Throughput data for MiniStral 3 (14B 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 3.3 70B Instruct vs MiniStral 3 (14B 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 3.3 70B Instruct or MiniStral 3 (14B 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 3.3 70B Instruct vs MiniStral 3 (14B Instruct 2512) pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Llama 3.3 70B Instruct costs $0.20/M input and $0.20/M output. MiniStral 3 (14B Instruct 2512) costs $0.20/M input and $0.20/M output via OpenRouter.

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

    The index

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    Next step

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