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DeepSeekDeepSeek V4 ProVSOpenAIGPT-5.4 nano

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

Our Take

We recommend DeepSeek V4 Pro if your workflow requires peak reasoning performance, or the 4.7x cheaper GPT-5.4 nano to optimize your API budget. While both models deliver similar coding capabilities, DeepSeek V4 Pro holds a clear lead in reasoning. Choose DeepSeek V4 Pro for complex logic, or GPT-5.4 nano for cost optimization.
▶WHY?
Benchmark Calculations & Evidence:
  • Coding Benchmarks: Both models were evaluated on the SWE-bench Pro benchmark. DeepSeek V4 Pro scored 52.1%, while GPT-5.4 nano scored 52.4%.
  • Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. DeepSeek V4 Pro scored 88%, while GPT-5.4 nano scored 82.8%.
  • Cost Efficiency: GPT-5.4 nano pricing ($0.2/M input, $1.25/M output) is 4.7x cheaper than DeepSeek V4 Pro ($1.74/M input, $3.48/M output).
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    Model Specs

    DeepSeek V4 Pro

    Open SourceAPI Available
    Website🤗HF

    Benchmarks & Scores

    Coding (swe-bench-pro)
    52.1%

    complex codebases, multi-file repositories, and architectural planning

    Reasoning (gpqa-diamond)Winner (+5.2%)
    88%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)
    $2.17Input: $1.74 | Output: $3.48
    Context WindowLarger
    1.05M tokens
    Model Specs

    GPT-5.4 nano

    Website

    Benchmarks & Scores

    Coding (swe-bench-pro)Winner (+0.3%)
    52.4%

    complex codebases, multi-file repositories, and architectural planning

    Reasoning (gpqa-diamond)
    82.8%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)4.7x cheaper
    $0.46Input: $0.20 | Output: $1.25
    Context Window
    400k tokens
    Read our data collection methodology

    Frequently Asked Questions about DeepSeek V4 Pro vs GPT-5.4 nano

    GPT-5.4 nano is cheaper than DeepSeek V4 Pro. GPT-5.4 nano has a blended cost of $0.46/1M tokens, which is about 4.7x cheaper than DeepSeek V4 Pro at $2.17/1M tokens.

    GPT-5.4 nano is better for coding tasks on this benchmark. It scores 52.4% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning) compared to DeepSeek V4 Pro which scores 52.1%.

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