DeepSeekDeepSeek V4 ProVSGoogleGemma 4 26B A4B
Our Take
We recommend Gemma 4 26B A4B 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 Gemma 4 26B A4B 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 Gemma 4 26B A4B is a 25.2B parameter model.
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Benchmarks & Scores
Coding (swe-bench-pro)
52.1%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+5.7%)
88%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$2.17Input: $1.74 | Output: $3.48Context WindowLarger
1.05M tokensBenchmarks & Scores
Coding (live-code-bench)
77.1%scripting single-file apps or clearly defined functions
Reasoning (gpqa-diamond)
82.3%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
Self HostLocal execution (zero API fees)Context Window
262.14k tokensFrequently Asked Questions about DeepSeek V4 Pro vs Gemma 4 26B A4B
For coding tasks, DeepSeek V4 Pro scores 52.1% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning), while Gemma 4 26B A4B scores 77.1% on live-code-bench (scripting single-file apps or clearly defined functions).
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