Which model is better: DeepSeek-V3 or GPT-5.6 Luna?

DeepSeek-V3 is 22.2% cheaper for input tokens ($0.14 vs. $0.18 per 1M tokens) and $0.28 vs. $0.72 for output tokens (1.3x cost difference). In terms of operational performance, GPT-5.6 Luna delivers faster response latency with 90ms TTFT (250ms faster than DeepSeek-V3). GPT-5.6 Luna leads coding benchmarks at 48.5% SWE-bench vs. 42.0% for DeepSeek-V3.
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-V3 GPT-5.6 Luna Net Delta / Advantage
Input Cost / 1M Tokens $0.14 $0.18 DeepSeek-V3 is 1.3x cheaper
Output Cost / 1M Tokens $0.28 $0.72 DeepSeek-V3 (61.1% lower)
Avg TTFT Response Latency 340ms 90ms GPT-5.6 Luna (+250ms faster)
SWE-bench Verified (Coding) 42% 48.5% GPT-5.6 Luna (+6.5% 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-V3 $5.45

$0.14/1M in · $0.28/1M 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-V3

Choose DeepSeek-V3 when you need Ultra-low-cost enterprise chat, massive batch RAG pipelines, multilingual translation, and open-source fine-tuning. and have an infrastructure budget aligned with $0.14/1M 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-V3 or GPT-5.6 Luna?

DeepSeek-V3 is cheaper at $0.14/1M input tokens compared to $0.18/1M for GPT-5.6 Luna.

Which model has lower latency: DeepSeek-V3 or GPT-5.6 Luna?

GPT-5.6 Luna delivers faster response times with an average TTFT of 90ms vs 340ms for DeepSeek-V3.

When should you choose DeepSeek-V3?

Choose DeepSeek-V3 when you need Ultra-low-cost enterprise chat, massive batch RAG pipelines, multilingual translation, and open-source fine-tuning. and have an infrastructure budget aligned with $0.14/1M 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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