o1-preview vs Qwen2.5 7B Instruct

    Comparison

    As of August 25, 2026, Qwen2.5 7B Instruct is 99% cheaper per million tokens than o1-preview. o1-preview is $15.00 / $60.00 per million input/output tokens versus Qwen2.5 7B Instruct at $0.30 / $0.30. Sources: https://developers.openai.com/api/docs/pricing and https://bailian.console.aliyun.com/

    Sources: OpenAI API pricing (https://developers.openai.com/api/docs/pricing); Qwen pricing (https://bailian.console.aliyun.com/)

    o1-preview

    OpenAI

    $75.00blended / 1M

    Input

    $15.00

    Output

    $60.00

    128K ctx|Proprietary
    99%
    cheaper
    Better value

    Qwen2.5 7B Instruct

    Qwen

    $0.60blended / 1M

    Input

    $0.30

    Output

    $0.30

    131.1K ctx|Open Source
    Save $74.40 per million tokens by choosing Qwen2.5 7B Instruct over o1-preview.

    o1-preview vs Qwen2.5 7B Instruct 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

    GPQA. Left is cheaper. Up is a higher score. The line is the best score you can buy at each price.

    Best score at each priceo1-previewQwen2.5 7B Instruct
    Metric
    o1-preview
    Qwen2.5 7B Instruct
    Provider
    Provider
    OpenAI
    Qwen
    License
    Proprietary
    Open Source
    Release Date
    2024-09-12
    2024-09-19
    Pricing (per 1M tokens)
    Input Price+4900%
    $15.00
    $0.30
    Output Price+19900%
    $60.00
    $0.30
    Blended (1M + 1M)
    $75.00
    $0.60
    Model Details
    Context Window
    128K
    131.1K
    Max Output Tokens
    32.8K
    8.2K
    Knowledge Cutoff
    October 2023
    N/A
    Throughput
    66 tok/s
    138 tok/s
    Benchmarks
    73.3%
    36.4%
    50.3%
    42.4%
    71.2%
    31.1%
    42%
    90.8%
    72.9%
    84.8%
    85.5%
    75.5%
    73.3%
    91.6%
    52.3%
    35.9%
    79.2%
    90.8%
    56.3%
    75.4%
    87.5%
    70.4%
    Benchmark Wins
    o1-preview 4|0 Qwen2.5 7B Instruct

    Verdict

    o1-preview vs Qwen2.5 7B Instruct: the bottom line

    Qwen2.5 7B Instruct offers significantly lower pricing, while o1-preview leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

    o1-preview vs Qwen2.5 7B Instruct FAQ

    Which is cheaper, o1-preview or Qwen2.5 7B Instruct?

    As of August 25, 2026, Qwen2.5 7B Instruct is 99% 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). o1-preview costs $15.00 / $60.00 per million tokens ($75.00 blended). Sources: https://developers.openai.com/api/docs/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 o1-preview vs Qwen2.5 7B Instruct cost per million tokens?

    o1-preview OpenAI API pricing is $15.00 input and $60.00 output per million tokens via OpenAI. 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, o1-preview or Qwen2.5 7B Instruct?

    o1-preview has a published SWE-bench Verified score of 41.3%. Qwen2.5 7B Instruct does not have that eval on this page yet.

    What is the context window for o1-preview vs Qwen2.5 7B Instruct?

    o1-preview supports a 128K 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, o1-preview or Qwen2.5 7B Instruct?

    o1-preview leads on 4 of 4 shared benchmarks versus Qwen2.5 7B Instruct'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 o1-preview or Qwen2.5 7B Instruct better for production use?

    Both o1-preview 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 o1-preview and Qwen2.5 7B Instruct in my app?

    Yes. Call o1-preview through OpenAI 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 o1-preview vs Qwen2.5 7B Instruct pricing data?

    List rates are the latest published OpenAI API pricing and Qwen API pricing, quoted per million tokens. Official rate sheets: https://developers.openai.com/api/docs/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 o1-preview and Qwen2.5 7B Instruct?

    o1-preview supports up to 33K 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, o1-preview or Qwen2.5 7B Instruct?

    o1-preview runs at approximately 66 tokens/second while Qwen2.5 7B Instruct runs at 138 tokens/second. Qwen2.5 7B Instruct 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 o1-preview 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 o1-preview 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.

    o1-preview vs Qwen2.5 7B Instruct pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. o1-preview costs $15.00/M input and $60.00/M output. 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

    Inception

    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

    StepFun

    1 models

    Tencent

    1 models

    Thinking Machines

    1 models

    Unisound

    1 models

    Upstage

    1 models

    Next step

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    Auth, billing, and the API layer are already decided. Fork 8 finished AI apps, or have us build the first version with you.