Which model is better: DeepSeek-R1 or GPT-5.6 Luna?

GPT-5.6 Luna is 67.3% cheaper for input tokens ($0.18 vs. $0.55 per 1M tokens) and $0.72 vs. $2.19 for output tokens (3.1x cost difference). In terms of operational performance, GPT-5.6 Luna delivers faster response latency with 90ms TTFT (1710ms faster than DeepSeek-R1). DeepSeek-R1 leads coding benchmarks at 49.2% SWE-bench vs. 48.5% for GPT-5.6 Luna.
Verified daily via automated API latency tests and official documentation.

Verified Performance & Unit Economics Delta

Daily synchronized metrics from synthetic latency endpoints and benchmark evaluations.

Metric / Dimension DeepSeek-R1 GPT-5.6 Luna Net Delta / Advantage
Input Cost / 1M Tokens $0.55 $0.18 GPT-5.6 Luna is 3.1x cheaper
Output Cost / 1M Tokens $2.19 $0.72 GPT-5.6 Luna (204.2% lower)
Avg TTFT Response Latency 1800ms 90ms GPT-5.6 Luna (+1710ms faster)
SWE-bench Verified (Coding) 49.2% 48.5% DeepSeek-R1 (+0.7% lead)
Inference Value Score (IVR) 99.9 / 100 99.9 / 100 GPT-5.6 Luna (+0 pts)

Interactive Monthly Token Economics & ROI Forecaster

Model your expected production workload across prompt (input) and completion (output) tokens.

Live Calculation Engine
10.0M Tokens
100K 50M 250M 500M+
2.5M Tokens
100K 10M 50M 100M+

Estimated Monthly Spend

DeepSeek-R1 $5.45

$0.55/1M in · $2.19/1M out

GPT-5.6 Luna $67.50

$0.18/1M in · $0.72/1M out

Projected Monthly Cost Reduction
$62.05 / mo
(91.9% lower cost)
A

When to Choose DeepSeek-R1

Choose DeepSeek-R1 when you need Open-weights chain-of-thought reasoning for complex mathematics, algorithmic programming, and scientific research. and have an infrastructure budget aligned with $0.55/1M tokens.

B

When to Choose GPT-5.6 Luna

Choose GPT-5.6 Luna when you need Real-time conversational agents, high-volume classification, intent detection, and low-latency interactive apps. and prioritize OpenAI ecosystem integration at $0.18/1M tokens.

Related Questions & Decision Factors

Which is cheaper: DeepSeek-R1 or GPT-5.6 Luna?

GPT-5.6 Luna is cheaper at $0.18/1M input tokens compared to $0.55/1M for DeepSeek-R1.

Which model has lower latency: DeepSeek-R1 or GPT-5.6 Luna?

GPT-5.6 Luna delivers faster response times with an average TTFT of 90ms vs 1800ms for DeepSeek-R1.

When should you choose DeepSeek-R1?

Choose DeepSeek-R1 when you need Open-weights chain-of-thought reasoning for complex mathematics, algorithmic programming, and scientific research. and have an infrastructure budget aligned with $0.55/1M tokens.

When should you choose GPT-5.6 Luna?

Choose GPT-5.6 Luna when you need Real-time conversational agents, high-volume classification, intent detection, and low-latency interactive apps. and prioritize OpenAI ecosystem integration at $0.18/1M tokens.

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