AI Model Comparison

GPT-5.6 Luna vs DeepSeek V4 Pro

Compare GPT-5.6 Luna (low) vs DeepSeek V4 Pro (Reasoning, Max Effort) with benchmark results, speed, pricing, and practical workflow guidance.

Best For GPT-5.6 Luna (low)

  • High-speed content generation
  • Latency-sensitive applications
  • General-purpose rapid tasks

Best For DeepSeek V4 Pro (Reasoning, Max Effort)

  • Complex reasoning and logic
  • Advanced coding projects
  • Cost-optimized large-scale workflows

DeepSeek V4 Pro outperforms GPT-5.6 Luna in intelligence, coding, and benchmark scores, while offering significantly lower pricing. However, GPT-5.6 Luna provides substantially faster output speeds for users prioritizing rapid response times over maximum reasoning depth.

Quick Take

This comparison evaluates OpenAI's GPT-5.6 Luna (low) and DeepSeek's V4 Pro (Reasoning, Max Effort). While both models represent recent advancements in the AI landscape, they cater to different operational needs. DeepSeek V4 Pro positions itself as a high-reasoning powerhouse, whereas GPT-5.6 Luna focuses on efficiency and speed.

Benchmark Read

DeepSeek V4 Pro consistently leads in core performance metrics. It holds an Intelligence index of 44.3 and a Coding index of 59.4, compared to GPT-5.6 Luna’s 33.3 and 44.2, respectively.

In standardized testing, DeepSeek V4 Pro demonstrates higher proficiency across the board:

  • GPQA: 0.888 (DeepSeek) vs 0.835 (OpenAI)
  • HLE: 0.359 (DeepSeek) vs 0.188 (OpenAI)
  • SciCode: 0.5 (DeepSeek) vs 0.456 (OpenAI)
  • LCR: 0.663 (DeepSeek) vs 0.593 (OpenAI)

DeepSeek also provides additional performance data via IFBench (0.764), TerminalBench Hard (0.462), and TAU2 (0.961), confirming its specialized focus on complex reasoning tasks.

Cost and Speed

There is a stark contrast in economic and performance profiles. DeepSeek V4 Pro is significantly more affordable, with a blended cost of $0.54/1M tokens, compared to GPT-5.6 Luna’s $2.25/1M.

However, GPT-5.6 Luna excels in raw throughput. It achieves an output speed of 232.911 tok/s, vastly outpacing DeepSeek V4 Pro’s 57.624 tok/s. Both models maintain similar latency for the first token, with GPT-5.6 Luna at 1.032s and DeepSeek V4 Pro at 1.027s.

Best Fit

DeepSeek V4 Pro is the optimal choice for users requiring high-accuracy reasoning, complex software engineering, and cost-sensitive scaling. GPT-5.6 Luna is best suited for applications where latency is critical and high-volume text generation must be delivered at maximum speed.

Benchmark table

Side-by-side scores, speed, and pricing for the selected models.

Metric OpenAI GPT-5.6 Luna (low) DeepSeek DeepSeek V4 Pro (Reasoning, Max Effort)
Index Scores
Intelligence Index 33.3 44.3
Coding Index 44.2 59.4
Math Index--
Benchmark Scores
GPQA 83.5 88.8
SciCode 45.6 50.0
IFBench- 76.5
HLE 18.8 35.9
LCR 59.3 66.3
TAU2- 96.2
TerminalBench Hard- 46.2

Verdict

Choose DeepSeek V4 Pro if your primary requirements are high-level reasoning, complex coding tasks, and cost-efficiency. Its superior performance across benchmarks like GPQA and HLE makes it the stronger choice for demanding analytical work. Conversely, select GPT-5.6 Luna if your workflow requires high-velocity output and rapid token generation, as it delivers nearly four times the speed of the V4 Pro.

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