MiniStral 3 (14B Instruct 2512) vs Qwen3.7-Plus

    Comparison

    As of August 20, 2026, MiniStral 3 (14B Instruct 2512) is 75% cheaper per million tokens than Qwen3.7-Plus. MiniStral 3 (14B Instruct 2512) is $0.20 / $0.20 per million input/output tokens versus Qwen3.7-Plus at $0.32 / $1.28. Sources: https://openrouter.ai/api/v1/models and https://www.alibabacloud.com/help/en/model-studio/pricing

    Sources: OpenRouter pricing (https://openrouter.ai/api/v1/models); Qwen pricing (https://www.alibabacloud.com/help/en/model-studio/pricing)

    Better value

    MiniStral 3 (14B Instruct 2512)

    Mistral

    $0.40blended / 1M

    Input

    $0.20

    Output

    $0.20

    262.1K ctx|Open Source
    75%
    cheaper

    Qwen3.7-Plus

    Qwen

    $1.60blended / 1M

    Input

    $0.32

    Output

    $1.28

    1M ctx|Proprietary
    Save $1.20 per million tokens by choosing MiniStral 3 (14B Instruct 2512) over Qwen3.7-Plus.

    MiniStral 3 (14B Instruct 2512) vs Qwen3.7-Plus comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    MiniStral 3 (14B Instruct 2512)
    Qwen3.7-Plus
    Provider
    Provider
    Mistral
    Qwen
    License
    Open Source
    Proprietary
    Release Date
    2025-12-04
    2026-05-31
    Pricing (per 1M tokens)
    Input Price-38%
    $0.20
    $0.32
    Output Price-84%
    $0.20
    $1.28
    Blended (1M + 1M)
    $0.40
    $1.60
    Model Details
    Context Window
    262.1K
    1M
    Max Output Tokens
    N/A
    65.5K
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    N/A
    N/A
    Benchmarks
    34.7%
    90.3%
    87.9%
    51.3%
    94.6%
    79.1%
    73.2%
    79%
    89%
    85.9%
    93.3%
    90.4%
    22.7%
    55.1%
    70.4%
    51.1%
    72.9%
    62.7%
    55.7%
    77%
    65.1%
    6%
    37.5%
    49.3%
    69.8%
    10.2%
    90.3%
    84.1%
    92.9%
    83%
    83.4%
    76.2%
    90.3%
    88.8%
    58.7%
    87.4%
    46.3%
    88.5%
    85.4%
    94.5%
    91.7%
    41.1%
    58.8%
    67.1%
    51.1%
    84%
    86.9%
    39.3%
    81.7%
    54.9%
    71.4%
    77.2%
    78.2%
    88%
    85.4%
    42.8%
    45.6%
    77.2%
    68.5%
    84.6%
    61.1%

    Verdict

    MiniStral 3 (14B Instruct 2512) vs Qwen3.7-Plus: the bottom line

    Both models are closely matched on benchmarks. MiniStral 3 (14B Instruct 2512) has the pricing advantage, making it the better value unless Qwen3.7-Plus's specific capabilities are critical to your workflow.

    MiniStral 3 (14B Instruct 2512) vs Qwen3.7-Plus FAQ

    Which is cheaper, MiniStral 3 (14B Instruct 2512) or Qwen3.7-Plus?

    As of August 20, 2026, MiniStral 3 (14B Instruct 2512) is 75% 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). Qwen3.7-Plus costs $0.32 / $1.28 per million tokens ($1.60 blended). Sources: https://openrouter.ai/api/v1/models and https://www.alibabacloud.com/help/en/model-studio/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 Qwen3.7-Plus 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. Qwen3.7-Plus Qwen API pricing is $0.32 input and $1.28 output per million tokens via Qwen. 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 Qwen3.7-Plus?

    Qwen3.7-Plus has a published SWE-bench Verified score of 77.7%. 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 Qwen3.7-Plus?

    MiniStral 3 (14B Instruct 2512) supports a 262K token context window, while Qwen3.7-Plus supports 1M tokens. Qwen3.7-Plus 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 Qwen3.7-Plus?

    Shared benchmark scores for MiniStral 3 (14B Instruct 2512) and Qwen3.7-Plus are still limited. Check the comparison table for the evals each model has published. 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 Qwen3.7-Plus better for production use?

    Both MiniStral 3 (14B Instruct 2512) and Qwen3.7-Plus 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 Qwen3.7-Plus in my app?

    Yes. Call MiniStral 3 (14B Instruct 2512) through OpenRouter and Qwen3.7-Plus through Qwen 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 Qwen3.7-Plus pricing data?

    List rates are the latest published Mistral API pricing and Qwen API pricing, quoted per million tokens. Official rate sheets: https://openrouter.ai/api/v1/models and https://www.alibabacloud.com/help/en/model-studio/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 Qwen3.7-Plus?

    MiniStral 3 (14B Instruct 2512) supports up to an unspecified number of output tokens per request, while Qwen3.7-Plus supports up to 66K 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 Qwen3.7-Plus?

    Neither MiniStral 3 (14B Instruct 2512) nor Qwen3.7-Plus 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 Qwen3.7-Plus 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 Qwen3.7-Plus 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 Qwen3.7-Plus 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. Qwen3.7-Plus costs $0.32/M input and $1.28/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.

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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

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    1 models

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    1 models

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    1 models

    Next step

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