DeepSeek DeepSeek V4 Flash VS OpenAI GPT-5.6 Luna
Decision Recommendation
⚖️ Editorial Verdict: In our analysis, GPT-5.6 Luna is the premium intelligence choice, scoring 13.6% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: DeepSeek V4 Flash is 12.9x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, DeepSeek V4 Flash offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GPT-5.6 Luna fully justifies the cost.
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Model Specs
DeepSeek V4 Flash
Benchmarks & Scores
Coding (swe-bench-pro)
49.1%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)
80%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)12.9x cheaper
$0.17Input: $0.14 | Output: $0.28Context Window
1M tokensModel Specs
GPT-5.6 Luna
Benchmarks & Scores
Coding (swe-bench-pro)Winner (+13.6%)
62.7%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)Winner (+12.3%)
92.3%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)
$2.25Input: $1.00 | Output: $6.00Context WindowLarger
1.05M tokensFrequently Asked Questions about DeepSeek V4 Flash vs GPT-5.6 Luna comparison
DeepSeek V4 Flash is cheaper than GPT-5.6 Luna. DeepSeek V4 Flash has a blended cost of $0.17/1M tokens, which is about 12.9x cheaper than GPT-5.6 Luna at $2.25/1M tokens.
GPT-5.6 Luna is better for coding tasks on this benchmark. It scores 62.7% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to DeepSeek V4 Flash which scores 49.1%.
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