Min istral 3 (3B Reasoning 2512) vs Qwen3.7-Plus

    Comparison

    As of August 20, 2026, Min istral 3 (3B Reasoning 2512) is 88% cheaper per million tokens than Qwen3.7-Plus. Min istral 3 (3B Reasoning 2512) is $0.10 / $0.10 per million input/output tokens versus Qwen3.7-Plus at $0.32 / $1.28. Sources: https://docs.mistral.ai/platform/pricing/ and https://www.alibabacloud.com/help/en/model-studio/pricing

    Sources: Mistral AI pricing (https://docs.mistral.ai/platform/pricing/); Qwen pricing (https://www.alibabacloud.com/help/en/model-studio/pricing)

    Better value

    Min istral 3 (3B Reasoning 2512)

    Mistral

    $0.20blended / 1M

    Input

    $0.10

    Output

    $0.10

    131.1K ctx|Open Source
    88%
    cheaper

    Qwen3.7-Plus

    Qwen

    $1.60blended / 1M

    Input

    $0.32

    Output

    $1.28

    1M ctx|Proprietary
    Save $1.40 per million tokens by choosing Min istral 3 (3B Reasoning 2512) over Qwen3.7-Plus.

    Min istral 3 (3B Reasoning 2512) vs Qwen3.7-Plus comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    Min istral 3 (3B Reasoning 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-69%
    $0.10
    $0.32
    Output Price-92%
    $0.10
    $1.28
    Blended (1M + 1M)
    $0.20
    $1.60
    Model Details
    Context Window
    131.1K
    1M
    Max Output Tokens
    131.1K
    65.5K
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    1222 tok/s
    N/A
    Benchmarks
    34.7%
    53.4%
    90.3%
    87.9%
    51.3%
    94.6%
    79.1%
    73.2%
    79%
    89%
    85.9%
    72.1%
    93.3%
    77.5%
    22.7%
    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%
    84.6%
    61.1%
    Benchmark Wins
    Min istral 3 (3B Reasoning 2512) 0|2 Qwen3.7-Plus

    Verdict

    Min istral 3 (3B Reasoning 2512) vs Qwen3.7-Plus: the bottom line

    Min istral 3 (3B Reasoning 2512) offers significantly lower pricing, while Qwen3.7-Plus leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

    Min istral 3 (3B Reasoning 2512) vs Qwen3.7-Plus FAQ

    Which is cheaper, Min istral 3 (3B Reasoning 2512) or Qwen3.7-Plus?

    As of August 20, 2026, Min istral 3 (3B Reasoning 2512) is 88% cheaper on blended LLM API pricing. Min istral 3 (3B Reasoning 2512) costs $0.10 per million input tokens and $0.10 per million output tokens ($0.20 blended 1M-in + 1M-out). Qwen3.7-Plus costs $0.32 / $1.28 per million tokens ($1.60 blended). Sources: https://docs.mistral.ai/platform/pricing/ 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 Min istral 3 (3B Reasoning 2512) vs Qwen3.7-Plus cost per million tokens?

    Min istral 3 (3B Reasoning 2512) Mistral API pricing is $0.10 input and $0.10 output per million tokens via Mistral AI. 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, Min istral 3 (3B Reasoning 2512) or Qwen3.7-Plus?

    Qwen3.7-Plus has a published SWE-bench Verified score of 77.7%. Min istral 3 (3B Reasoning 2512) does not have that eval on this page yet.

    What is the context window for Min istral 3 (3B Reasoning 2512) vs Qwen3.7-Plus?

    Min istral 3 (3B Reasoning 2512) supports a 131K 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, Min istral 3 (3B Reasoning 2512) or Qwen3.7-Plus?

    Qwen3.7-Plus leads on 2 of 2 shared benchmarks versus Min istral 3 (3B 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 Min istral 3 (3B Reasoning 2512) or Qwen3.7-Plus better for production use?

    Both Min istral 3 (3B Reasoning 2512) and Qwen3.7-Plus are production API models. For cost-sensitive production traffic, Min istral 3 (3B 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 Min istral 3 (3B Reasoning 2512) and Qwen3.7-Plus in my app?

    Yes. Call Min istral 3 (3B Reasoning 2512) through Mistral AI 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 Min istral 3 (3B Reasoning 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://docs.mistral.ai/platform/pricing/ 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 Min istral 3 (3B Reasoning 2512) and Qwen3.7-Plus?

    Min istral 3 (3B Reasoning 2512) supports up to 131K 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, Min istral 3 (3B Reasoning 2512) or Qwen3.7-Plus?

    Min istral 3 (3B Reasoning 2512) has a measured throughput of approximately 1222 tokens/second. Throughput data for Qwen3.7-Plus 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 Min istral 3 (3B Reasoning 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 Min istral 3 (3B Reasoning 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.

    Min istral 3 (3B Reasoning 2512) vs Qwen3.7-Plus pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Min istral 3 (3B Reasoning 2512) costs $0.10/M input and $0.10/M output via Mistral AI. 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

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