MiniStral 3 (14B Instruct 2512) vs Mistral Large 3

    Comparison

    As of August 25, 2026, MiniStral 3 (14B Instruct 2512) is 94% cheaper per million tokens than Mistral Large 3. MiniStral 3 (14B Instruct 2512) is $0.20 / $0.20 per million input/output tokens versus Mistral Large 3 at $2.00 / $5.00. Sources: https://openrouter.ai/api/v1/models and https://docs.mistral.ai/platform/pricing/

    Sources: OpenRouter pricing (https://openrouter.ai/api/v1/models); Mistral AI pricing (https://docs.mistral.ai/platform/pricing/)

    Better value

    MiniStral 3 (14B Instruct 2512)

    Mistral

    $0.40blended / 1M

    Input

    $0.20

    Output

    $0.20

    262.1K ctx|Open Source
    94%
    cheaper

    Mistral Large 3

    Mistral

    $7.00blended / 1M

    Input

    $2.00

    Output

    $5.00

    128K ctx|Open Source
    Save $6.60 per million tokens by choosing MiniStral 3 (14B Instruct 2512) over Mistral Large 3.

    MiniStral 3 (14B Instruct 2512) vs Mistral Large 3 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.

    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)Mistral Large 3
    Metric
    MiniStral 3 (14B Instruct 2512)
    Mistral Large 3
    Provider
    Provider
    Mistral
    Mistral
    License
    Open Source
    Open Source
    Release Date
    2025-12-04
    2025-09-01
    Pricing (per 1M tokens)
    Input Price-90%
    $0.20
    $2.00
    Output Price-96%
    $0.20
    $5.00
    Blended (1M + 1M)
    $0.40
    $7.00
    Model Details
    Context Window
    262.1K
    128K
    Max Output Tokens
    N/A
    8.2K
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    N/A
    N/A
    Benchmarks
    36.2%
    74.2%
    90.4%
    90.4%
    55.1%
    55.1%
    0%
    2%
    67.6%
    8.5%
    84.9%
    74.9%
    68.5%
    68.5%
    Benchmark Wins
    MiniStral 3 (14B Instruct 2512) 0|1 Mistral Large 3

    Verdict

    MiniStral 3 (14B Instruct 2512) vs Mistral Large 3: the bottom line

    MiniStral 3 (14B Instruct 2512) offers significantly lower pricing, while Mistral Large 3 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 Mistral Large 3 FAQ

    Which is cheaper, MiniStral 3 (14B Instruct 2512) or Mistral Large 3?

    As of August 25, 2026, MiniStral 3 (14B Instruct 2512) is 94% 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). Mistral Large 3 costs $2.00 / $5.00 per million tokens ($7.00 blended). Sources: https://openrouter.ai/api/v1/models and https://docs.mistral.ai/platform/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 Mistral Large 3 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. Mistral Large 3 Mistral API pricing is $2.00 input and $5.00 output per million tokens via Mistral AI. 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 Mistral Large 3?

    Neither MiniStral 3 (14B Instruct 2512) nor Mistral Large 3 has a published SWE-bench or LiveCodeBench score on this page yet. Use the comparison table for the evals that do exist.

    What is the context window for MiniStral 3 (14B Instruct 2512) vs Mistral Large 3?

    MiniStral 3 (14B Instruct 2512) supports a 262K token context window, while Mistral Large 3 supports 128K 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 Mistral Large 3?

    Mistral Large 3 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 Mistral Large 3 better for production use?

    Both MiniStral 3 (14B Instruct 2512) and Mistral Large 3 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 Mistral Large 3 in my app?

    Yes. Call MiniStral 3 (14B Instruct 2512) through OpenRouter and Mistral Large 3 through Mistral AI 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 Mistral Large 3 pricing data?

    List rates are the latest published Mistral API pricing and Mistral API pricing, quoted per million tokens. Official rate sheets: https://openrouter.ai/api/v1/models and https://docs.mistral.ai/platform/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 Mistral Large 3?

    MiniStral 3 (14B Instruct 2512) supports up to an unspecified number of output tokens per request, while Mistral Large 3 supports up to 8K 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 Mistral Large 3?

    Neither MiniStral 3 (14B Instruct 2512) nor Mistral Large 3 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 MiniStral 3 (14B Instruct 2512) vs Mistral Large 3 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 Mistral Large 3 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 Mistral Large 3 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. Mistral Large 3 costs $2.00/M input and $5.00/M output via Mistral AI.

    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

    You found the model. Now ship the product.

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