Magistral Medium vs Qwen2.5 7B Instruct

    Comparison

    As of August 20, 2026, Qwen2.5 7B Instruct is 91% cheaper per million tokens than Magistral Medium. Magistral Medium is $2.00 / $5.00 per million input/output tokens versus Qwen2.5 7B Instruct at $0.30 / $0.30. Sources: https://anotherwrapper.com/tools/llm-pricing and https://bailian.console.aliyun.com/

    Sources: AnotherWrapper LLM pricing (https://anotherwrapper.com/tools/llm-pricing); Qwen pricing (https://bailian.console.aliyun.com/)

    Magistral Medium

    Mistral

    $7.00blended / 1M

    Input

    $2.00

    Output

    $5.00

    40K ctx|Open Source
    91%
    cheaper
    Better value

    Qwen2.5 7B Instruct

    Qwen

    $0.60blended / 1M

    Input

    $0.30

    Output

    $0.30

    131.1K ctx|Open Source
    Save $6.40 per million tokens by choosing Qwen2.5 7B Instruct over Magistral Medium.

    Magistral Medium vs Qwen2.5 7B Instruct comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    Magistral Medium
    Qwen2.5 7B Instruct
    Provider
    Provider
    Mistral
    Qwen
    License
    Open Source
    Open Source
    Release Date
    2025-06-10
    2024-09-19
    Pricing (per 1M tokens)
    Input Price+567%
    $2.00
    $0.30
    Output Price+1567%
    $5.00
    $0.30
    Blended (1M + 1M)
    $7.00
    $0.60
    Model Details
    Context Window
    40K
    131.1K
    Max Output Tokens
    N/A
    8.2K
    Knowledge Cutoff
    2025-06-01
    N/A
    Throughput
    N/A
    138 tok/s
    Benchmarks
    9%
    70.8%
    36.4%
    50.3%
    28.7%
    71.2%
    64.9%
    73.6%
    72.9%
    84.8%
    73.6%
    75.5%
    73.3%
    91.6%
    35.9%
    79.2%
    56.3%
    75.4%
    87.5%
    70.4%
    Benchmark Wins
    Magistral Medium 2|1 Qwen2.5 7B Instruct

    Verdict

    Magistral Medium vs Qwen2.5 7B Instruct: the bottom line

    Qwen2.5 7B Instruct offers significantly lower pricing, while Magistral Medium leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

    Magistral Medium vs Qwen2.5 7B Instruct FAQ

    Which is cheaper, Magistral Medium or Qwen2.5 7B Instruct?

    As of August 20, 2026, Qwen2.5 7B Instruct is 91% cheaper on blended LLM API pricing. Qwen2.5 7B Instruct costs $0.30 per million input tokens and $0.30 per million output tokens ($0.60 blended 1M-in + 1M-out). Magistral Medium costs $2.00 / $5.00 per million tokens ($7.00 blended). Sources: https://anotherwrapper.com/tools/llm-pricing and https://bailian.console.aliyun.com/. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does Magistral Medium vs Qwen2.5 7B Instruct cost per million tokens?

    Magistral Medium Mistral API pricing is $2.00 input and $5.00 output per million tokens via Mistral AI. Qwen2.5 7B Instruct Qwen API pricing is $0.30 input and $0.30 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, Magistral Medium or Qwen2.5 7B Instruct?

    Magistral Medium leads on LiveCodeBench: Magistral Medium at 50.3% vs Qwen2.5 7B Instruct at 28.7%. SWE-bench measures real GitHub fixes; LiveCodeBench measures contest programming.

    What is the context window for Magistral Medium vs Qwen2.5 7B Instruct?

    Magistral Medium supports a 40K token context window, while Qwen2.5 7B Instruct supports 131K tokens. Qwen2.5 7B Instruct 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, Magistral Medium or Qwen2.5 7B Instruct?

    Magistral Medium leads on 2 of 3 shared benchmarks versus Qwen2.5 7B Instruct's 1 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 Magistral Medium or Qwen2.5 7B Instruct better for production use?

    Both Magistral Medium and Qwen2.5 7B Instruct are production API models. For cost-sensitive production traffic, Qwen2.5 7B Instruct 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 Magistral Medium and Qwen2.5 7B Instruct in my app?

    Yes. Call Magistral Medium through Mistral AI and Qwen2.5 7B Instruct 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 Magistral Medium vs Qwen2.5 7B Instruct pricing data?

    List rates are the latest published Mistral API pricing and Qwen API pricing, quoted per million tokens. Official rate sheets: https://anotherwrapper.com/tools/llm-pricing and https://bailian.console.aliyun.com/. 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 Magistral Medium and Qwen2.5 7B Instruct?

    Magistral Medium supports up to an unspecified number of output tokens per request, while Qwen2.5 7B Instruct 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, Magistral Medium or Qwen2.5 7B Instruct?

    Qwen2.5 7B Instruct has a measured throughput of approximately 138 tokens/second. Throughput data for Magistral Medium 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 Magistral Medium vs Qwen2.5 7B Instruct comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Magistral Medium or Qwen2.5 7B Instruct from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

    Magistral Medium vs Qwen2.5 7B Instruct pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Magistral Medium costs $2.00/M input and $5.00/M output via Mistral AI. Qwen2.5 7B Instruct costs $0.30/M input and $0.30/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

    Thinking Machines

    1 models

    Unisound

    1 models

    Upstage

    1 models

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