MiniStral 3 (14B Instruct 2512) vs o4-mini

    Comparison

    As of August 25, 2026, MiniStral 3 (14B Instruct 2512) is 93% cheaper per million tokens than o4-mini. MiniStral 3 (14B Instruct 2512) is $0.20 / $0.20 per million input/output tokens versus o4-mini at $1.10 / $4.40. Sources: https://openrouter.ai/api/v1/models and https://developers.openai.com/api/docs/pricing

    Sources: OpenRouter pricing (https://openrouter.ai/api/v1/models); OpenAI API pricing (https://developers.openai.com/api/docs/pricing)

    Better value

    MiniStral 3 (14B Instruct 2512)

    Mistral

    $0.40blended / 1M

    Input

    $0.20

    Output

    $0.20

    262.1K ctx|Open Source
    93%
    cheaper

    o4-mini

    OpenAI

    $5.50blended / 1M

    Input

    $1.10

    Output

    $4.40

    200K ctx|Proprietary
    Save $5.10 per million tokens by choosing MiniStral 3 (14B Instruct 2512) over o4-mini.

    MiniStral 3 (14B Instruct 2512) vs o4-mini 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.

    MiniStral 3 (14B Instruct 2512)o4-mini

    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 priceMiniStral 3 (14B Instruct 2512)o4-mini
    Metric
    MiniStral 3 (14B Instruct 2512)
    o4-mini
    Provider
    Provider
    Mistral
    OpenAI
    License
    Open Source
    Proprietary
    Release Date
    2025-12-04
    2025-04-16
    Pricing (per 1M tokens)
    Input Price-82%
    $0.20
    $1.10
    Output Price-95%
    $0.20
    $4.40
    Blended (1M + 1M)
    $0.40
    $5.50
    Model Details
    Context Window
    262.1K
    200K
    Max Output Tokens
    N/A
    100K
    Knowledge Cutoff
    N/A
    2024-05-31
    Throughput
    N/A
    115 tok/s
    Benchmarks
    14.7%
    81.4%
    81.4%
    51.5%
    21.9%
    6.1%
    68.1%
    72%
    25.3%
    10.7%
    50%
    92.7%
    93.4%
    94.2%
    53.2%
    81.6%
    90.4%
    97.8%
    55.1%
    59.0%
    0.6%
    4.8%
    84.3%
    33.8%
    96.0%
    69.1%
    93.4%
    80.6%
    41.1%
    38.7%
    74.8%
    68.5%
    Benchmark Wins
    MiniStral 3 (14B Instruct 2512) 0|1 o4-mini

    Verdict

    MiniStral 3 (14B Instruct 2512) vs o4-mini: the bottom line

    MiniStral 3 (14B Instruct 2512) offers significantly lower pricing, while o4-mini leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

    MiniStral 3 (14B Instruct 2512) vs o4-mini FAQ

    Which is cheaper, MiniStral 3 (14B Instruct 2512) or o4-mini?

    As of August 25, 2026, MiniStral 3 (14B Instruct 2512) is 93% cheaper on blended LLM API pricing. MiniStral 3 (14B Instruct 2512) costs $0.20 per million input tokens and $0.20 per million output tokens ($0.40 blended 1M-in + 1M-out). o4-mini costs $1.10 / $4.40 per million tokens ($5.50 blended). Sources: https://openrouter.ai/api/v1/models and https://developers.openai.com/api/docs/pricing. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does MiniStral 3 (14B Instruct 2512) vs o4-mini cost per million tokens?

    MiniStral 3 (14B Instruct 2512) Mistral API pricing is $0.20 input and $0.20 output per million tokens via OpenRouter. o4-mini OpenAI API pricing is $1.10 input and $4.40 output per million tokens via OpenAI. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.

    Which is better for coding, MiniStral 3 (14B Instruct 2512) or o4-mini?

    o4-mini has a published SWE-bench Verified score of 68.1%. MiniStral 3 (14B Instruct 2512) does not have that eval on this page yet.

    What is the context window for MiniStral 3 (14B Instruct 2512) vs o4-mini?

    MiniStral 3 (14B Instruct 2512) supports a 262K token context window, while o4-mini supports 200K 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, MiniStral 3 (14B Instruct 2512) or o4-mini?

    o4-mini leads on 1 of 1 shared benchmarks versus MiniStral 3 (14B Instruct 2512)'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 MiniStral 3 (14B Instruct 2512) or o4-mini better for production use?

    Both MiniStral 3 (14B Instruct 2512) and o4-mini are production API models. For cost-sensitive production traffic, MiniStral 3 (14B 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 MiniStral 3 (14B Instruct 2512) and o4-mini in my app?

    Yes. Call MiniStral 3 (14B Instruct 2512) through OpenRouter and o4-mini through OpenAI 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 MiniStral 3 (14B Instruct 2512) vs o4-mini pricing data?

    List rates are the latest published Mistral API pricing and OpenAI API pricing, quoted per million tokens. Official rate sheets: https://openrouter.ai/api/v1/models and https://developers.openai.com/api/docs/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 MiniStral 3 (14B Instruct 2512) and o4-mini?

    MiniStral 3 (14B Instruct 2512) supports up to an unspecified number of output tokens per request, while o4-mini supports up to 100K 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, MiniStral 3 (14B Instruct 2512) or o4-mini?

    o4-mini has a measured throughput of approximately 115 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 MiniStral 3 (14B Instruct 2512) vs o4-mini comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open MiniStral 3 (14B Instruct 2512) or o4-mini from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

    MiniStral 3 (14B Instruct 2512) vs o4-mini pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. MiniStral 3 (14B Instruct 2512) costs $0.20/M input and $0.20/M output via OpenRouter. o4-mini costs $1.10/M input and $4.40/M output.

    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.

    Baidu

    1 models

    Inception

    1 models

    inclusionAI

    1 models

    LG AI Research

    1 models

    Nous Research

    1 models

    Sakana AI

    1 models

    StepFun

    1 models

    Tencent

    1 models

    Thinking Machines

    1 models

    Unisound

    1 models

    Upstage

    1 models

    Next step

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