Which model is better: Claude 3.5 Haiku or GPT-5.6 Luna?

GPT-5.6 Luna is 77.5% cheaper for input tokens ($0.18 vs. $0.80 per 1M tokens) and $0.72 vs. $4.00 for output tokens (4.4x cost difference). In terms of operational performance, GPT-5.6 Luna delivers faster response latency with 90ms TTFT (50ms faster than Claude 3.5 Haiku). GPT-5.6 Luna leads coding benchmarks at 48.5% SWE-bench vs. 40.6% for Claude 3.5 Haiku.
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 Claude 3.5 Haiku GPT-5.6 Luna Net Delta / Advantage
Input Cost / 1M Tokens $0.80 $0.18 GPT-5.6 Luna is 4.4x cheaper
Output Cost / 1M Tokens $4.00 $0.72 GPT-5.6 Luna (455.6% lower)
Avg TTFT Response Latency 140ms 90ms GPT-5.6 Luna (+50ms faster)
SWE-bench Verified (Coding) 40.6% 48.5% GPT-5.6 Luna (+7.9% lead)
Inference Value Score (IVR) 70.4 / 100 99.9 / 100 GPT-5.6 Luna (+29.5 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

Claude 3.5 Haiku $5.45

$0.8/1M in · $4/1M 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 Claude 3.5 Haiku

Choose Claude 3.5 Haiku when you need High-speed API routing, conversational triage, extraction, and edge agent tasks. and have an infrastructure budget aligned with $0.80/1M 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: Claude 3.5 Haiku or GPT-5.6 Luna?

GPT-5.6 Luna is cheaper at $0.18/1M input tokens compared to $0.80/1M for Claude 3.5 Haiku.

Which model has lower latency: Claude 3.5 Haiku or GPT-5.6 Luna?

GPT-5.6 Luna delivers faster response times with an average TTFT of 90ms vs 140ms for Claude 3.5 Haiku.

When should you choose Claude 3.5 Haiku?

Choose Claude 3.5 Haiku when you need High-speed API routing, conversational triage, extraction, and edge agent tasks. and have an infrastructure budget aligned with $0.80/1M 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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