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DeepSeekDeepSeek V4 FlashVSDeepSeekDeepSeek V4 Pro

Analysis by:the whichllmmodel Editorial Team|Updated: June 2026

Our Take

We recommend DeepSeek V4 Flash for practical local execution on standard developer hardware, or DeepSeek V4 Pro if you need peak reasoning and have the VRAM (or a cloud API) to host it. While DeepSeek V4 Pro offers frontier capability, its massive parameter size makes it extremely difficult to host locally. Choose DeepSeek V4 Flash for standard local setups, or DeepSeek V4 Pro for peak reasoning.
▶WHY?
Benchmark Calculations & Evidence:
  • Model Size: DeepSeek V4 Pro is a massive 1600B parameter model requiring heavy GPU infrastructure, while DeepSeek V4 Flash is a 284B parameter model.
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    Model Specs

    DeepSeek V4 Flash

    Open SourceAPI Available
    Website🤗HF

    Benchmarks & Scores

    Coding (swe-bench-pro)
    49.1%

    complex codebases, multi-file repositories, and architectural planning

    Reasoning (gpqa-diamond)
    80%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)12.4x cheaper
    $0.17Input: $0.14 | Output: $0.28
    Context Window
    1.05M tokens
    Model Specs

    DeepSeek V4 Pro

    Open SourceAPI Available
    Website🤗HF

    Benchmarks & Scores

    Coding (swe-bench-pro)Winner (+3.0%)
    52.1%

    complex codebases, multi-file repositories, and architectural planning

    Reasoning (gpqa-diamond)Winner (+8.0%)
    88%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)
    $2.17Input: $1.74 | Output: $3.48
    Context Window
    1.05M tokens
    Read our data collection methodology

    Frequently Asked Questions about DeepSeek V4 Flash vs DeepSeek V4 Pro

    DeepSeek V4 Flash is cheaper than DeepSeek V4 Pro. DeepSeek V4 Flash has a blended cost of $0.17/1M tokens, which is about 12.4x cheaper than DeepSeek V4 Pro at $2.17/1M tokens.

    DeepSeek V4 Pro is better for coding tasks on this benchmark. It scores 52.1% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning) compared to DeepSeek V4 Flash which scores 49.1%.

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