Ministral 3 (14B Reasoning 2512) vs Step-3.5-Flash

    Comparison

    As of August 25, 2026, Ministral 3 (14B Reasoning 2512) is 20% cheaper per million tokens than Step-3.5-Flash. Ministral 3 (14B Reasoning 2512) is $0.20 / $0.20 per million input/output tokens versus Step-3.5-Flash at $0.10 / $0.40. Sources: https://docs.mistral.ai/platform/pricing/ and https://anotherwrapper.com/tools/llm-pricing

    Sources: Mistral AI pricing (https://docs.mistral.ai/platform/pricing/); AnotherWrapper LLM pricing (https://anotherwrapper.com/tools/llm-pricing)

    Better value

    Ministral 3 (14B Reasoning 2512)

    Mistral

    $0.40blended / 1M

    Input

    $0.20

    Output

    $0.20

    262.1K ctx|Open Source
    20%
    cheaper

    Step-3.5-Flash

    StepFun

    $0.50blended / 1M

    Input

    $0.10

    Output

    $0.40

    65.5K ctx|Open Source
    Save $0.10 per million tokens by choosing Ministral 3 (14B Reasoning 2512) over Step-3.5-Flash.

    Ministral 3 (14B Reasoning 2512) vs Step-3.5-Flash 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 Reasoning 2512)Step-3.5-Flash

    Score vs price

    AIME 2025. 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 Reasoning 2512)Step-3.5-Flash
    Metric
    Ministral 3 (14B Reasoning 2512)
    Step-3.5-Flash
    Provider
    Provider
    Mistral
    StepFun
    License
    Open Source
    Open Source
    Release Date
    2025-12-04
    2026-02-02
    Pricing (per 1M tokens)
    Input Price+100%
    $0.20
    $0.10
    Output Price-50%
    $0.20
    $0.40
    Blended (1M + 1M)
    $0.40
    $0.50
    Model Details
    Context Window
    262.1K
    65.5K
    Max Output Tokens
    262.1K
    8.2K
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    128.6 tok/s
    150 tok/s
    Benchmarks
    71.2%
    85%
    97.3%
    89.8%
    88.2%
    Benchmark Wins
    Ministral 3 (14B Reasoning 2512) 0|1 Step-3.5-Flash

    Verdict

    Ministral 3 (14B Reasoning 2512) vs Step-3.5-Flash: the bottom line

    Ministral 3 (14B Reasoning 2512) offers significantly lower pricing, while Step-3.5-Flash leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

    Ministral 3 (14B Reasoning 2512) vs Step-3.5-Flash FAQ

    Which is cheaper, Ministral 3 (14B Reasoning 2512) or Step-3.5-Flash?

    As of August 25, 2026, Ministral 3 (14B Reasoning 2512) is 20% cheaper on blended LLM API pricing. Ministral 3 (14B Reasoning 2512) costs $0.20 per million input tokens and $0.20 per million output tokens ($0.40 blended 1M-in + 1M-out). Step-3.5-Flash costs $0.10 / $0.40 per million tokens ($0.50 blended). Sources: https://docs.mistral.ai/platform/pricing/ and https://anotherwrapper.com/tools/llm-pricing. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does Ministral 3 (14B Reasoning 2512) vs Step-3.5-Flash cost per million tokens?

    Ministral 3 (14B Reasoning 2512) Mistral API pricing is $0.20 input and $0.20 output per million tokens via Mistral AI. Step-3.5-Flash StepFun API pricing is $0.10 input and $0.40 output per million tokens via StepFun. 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 Reasoning 2512) or Step-3.5-Flash?

    Step-3.5-Flash has a published SWE-bench Verified score of 74.4%. Ministral 3 (14B Reasoning 2512) does not have that eval on this page yet.

    What is the context window for Ministral 3 (14B Reasoning 2512) vs Step-3.5-Flash?

    Ministral 3 (14B Reasoning 2512) supports a 262K token context window, while Step-3.5-Flash supports 66K tokens. Ministral 3 (14B Reasoning 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 Reasoning 2512) or Step-3.5-Flash?

    Step-3.5-Flash leads on 1 of 1 shared benchmarks versus Ministral 3 (14B Reasoning 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 Reasoning 2512) or Step-3.5-Flash better for production use?

    Both Ministral 3 (14B Reasoning 2512) and Step-3.5-Flash are production API models. For cost-sensitive production traffic, Ministral 3 (14B Reasoning 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 Reasoning 2512) and Step-3.5-Flash in my app?

    Yes. Call Ministral 3 (14B Reasoning 2512) through Mistral AI and Step-3.5-Flash through StepFun 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 Reasoning 2512) vs Step-3.5-Flash pricing data?

    List rates are the latest published Mistral API pricing and StepFun API pricing, quoted per million tokens. Official rate sheets: https://docs.mistral.ai/platform/pricing/ and https://anotherwrapper.com/tools/llm-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 Reasoning 2512) and Step-3.5-Flash?

    Ministral 3 (14B Reasoning 2512) supports up to 262K output tokens per request, while Step-3.5-Flash 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 Reasoning 2512) or Step-3.5-Flash?

    Ministral 3 (14B Reasoning 2512) runs at approximately 128.6 tokens/second while Step-3.5-Flash runs at 150 tokens/second. Step-3.5-Flash is faster in raw throughput. 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 Reasoning 2512) vs Step-3.5-Flash 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 Reasoning 2512) or Step-3.5-Flash 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 Reasoning 2512) vs Step-3.5-Flash pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Ministral 3 (14B Reasoning 2512) costs $0.20/M input and $0.20/M output via Mistral AI. Step-3.5-Flash costs $0.10/M input and $0.40/M output.

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

    The index

    All Large Language Models

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