DeepSeek-V3 0324 vs Qwen2.5 7B Instruct

    Comparison

    As of August 25, 2026, Qwen2.5 7B Instruct is 58% cheaper per million tokens than DeepSeek-V3 0324. DeepSeek-V3 0324 is $0.28 / $1.14 per million input/output tokens versus Qwen2.5 7B Instruct at $0.30 / $0.30. Sources: https://api-docs.deepseek.com/quick_start/pricing and https://bailian.console.aliyun.com/

    Sources: DeepSeek API pricing (https://api-docs.deepseek.com/quick_start/pricing); Qwen pricing (https://bailian.console.aliyun.com/)

    DeepSeek-V3 0324

    DeepSeek

    $1.42blended / 1M

    Input

    $0.28

    Output

    $1.14

    163.8K ctx|Open Source
    58%
    cheaper
    Better value

    Qwen2.5 7B Instruct

    Qwen

    $0.60blended / 1M

    Input

    $0.30

    Output

    $0.30

    131.1K ctx|Open Source
    Save $0.82 per million tokens by choosing Qwen2.5 7B Instruct over DeepSeek-V3 0324.

    DeepSeek-V3 0324 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 priceDeepSeek-V3 0324Qwen2.5 7B Instruct
    Metric
    DeepSeek-V3 0324
    Qwen2.5 7B Instruct
    Provider
    Provider
    DeepSeek
    Qwen
    License
    Open Source
    Open Source
    Release Date
    2025-03-25
    2024-09-19
    Pricing (per 1M tokens)
    Input Price-7%
    $0.28
    $0.30
    Output Price+280%
    $1.14
    $0.30
    Blended (1M + 1M)
    $1.42
    $0.60
    Model Details
    Context Window
    163.8K
    131.1K
    Max Output Tokens
    163.8K
    8.2K
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    N/A
    138 tok/s
    Benchmarks
    68.4%
    36.4%
    67.6%
    49.2%
    28.7%
    35.8%
    71.2%
    37.8%
    59.4%
    94%
    72.9%
    84.8%
    75.5%
    75.5%
    73.3%
    54.7%
    0%
    91.6%
    1.7%
    66.9%
    35.9%
    79.2%
    82%
    91.7%
    81.2%
    56.3%
    75.4%
    87.5%
    70.4%
    27.2%
    71.1%
    Benchmark Wins
    DeepSeek-V3 0324 5|0 Qwen2.5 7B Instruct

    Verdict

    DeepSeek-V3 0324 vs Qwen2.5 7B Instruct: the bottom line

    Qwen2.5 7B Instruct offers significantly lower pricing, while DeepSeek-V3 0324 leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

    DeepSeek-V3 0324 vs Qwen2.5 7B Instruct FAQ

    Which is cheaper, DeepSeek-V3 0324 or Qwen2.5 7B Instruct?

    As of August 25, 2026, Qwen2.5 7B Instruct is 58% 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). DeepSeek-V3 0324 costs $0.28 / $1.14 per million tokens ($1.42 blended). Sources: https://api-docs.deepseek.com/quick_start/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 DeepSeek-V3 0324 vs Qwen2.5 7B Instruct cost per million tokens?

    DeepSeek-V3 0324 DeepSeek API pricing is $0.28 input and $1.14 output per million tokens via DeepSeek. 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, DeepSeek-V3 0324 or Qwen2.5 7B Instruct?

    DeepSeek-V3 0324 leads on LiveCodeBench: DeepSeek-V3 0324 at 49.2% vs Qwen2.5 7B Instruct at 28.7%. SWE-bench measures real GitHub fixes; LiveCodeBench measures contest programming.

    What is the context window for DeepSeek-V3 0324 vs Qwen2.5 7B Instruct?

    DeepSeek-V3 0324 supports a 164K token context window, while Qwen2.5 7B Instruct supports 131K tokens. DeepSeek-V3 0324 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, DeepSeek-V3 0324 or Qwen2.5 7B Instruct?

    DeepSeek-V3 0324 leads on 5 of 5 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 DeepSeek-V3 0324 or Qwen2.5 7B Instruct better for production use?

    Both DeepSeek-V3 0324 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 DeepSeek-V3 0324 and Qwen2.5 7B Instruct in my app?

    Yes. Call DeepSeek-V3 0324 through DeepSeek 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 DeepSeek-V3 0324 vs Qwen2.5 7B Instruct pricing data?

    List rates are the latest published DeepSeek API pricing and Qwen API pricing, quoted per million tokens. Official rate sheets: https://api-docs.deepseek.com/quick_start/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 DeepSeek-V3 0324 and Qwen2.5 7B Instruct?

    DeepSeek-V3 0324 supports up to 164K 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, DeepSeek-V3 0324 or Qwen2.5 7B Instruct?

    Qwen2.5 7B Instruct has a measured throughput of approximately 138 tokens/second. Throughput data for DeepSeek-V3 0324 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 DeepSeek-V3 0324 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 DeepSeek-V3 0324 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.

    DeepSeek-V3 0324 vs Qwen2.5 7B Instruct pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. DeepSeek-V3 0324 costs $0.28/M input and $1.14/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

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