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GPT-5.6 Luna vs GPT-4o-mini

Detailed technical comparison between GPT-5.6 Luna (OpenAI) and GPT-4o-mini (OpenAI). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

โšก Executive Summary & Verdict

Comparison Snapshot

GPT-5.6 Luna: 6 WinsvsGPT-4o-mini: 0 Wins
Context Leader

GPT-5.6 Luna

1,050,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GPT-4o-mini

$0.15 / MTok
OpenAIactive

GPT-5.6 Luna

GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...

View GPT-5.6 Luna Full Specs โ†’
OpenAIactive

GPT-4o-mini

GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...

View GPT-4o-mini Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationGPT-5.6 LunaGPT-4o-mini
ProviderOpenAIOpenAI
Context Window1,050,000 tokens๐Ÿ†128,000 tokens
Agent SuitabilityN/A82/100
Time to First Token (TTFT)N/A150 ms
Deployment Modelmanaged apimanaged api
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-07-092024-07-18

API Pricing Comparison

Input Price per Million Tokens

GPT-5.6 Luna

$1.00

GPT-4o-mini

$0.15

Output Price per Million Tokens

GPT-5.6 Luna

$6.00

GPT-4o-mini

$0.60

๐Ÿ’ก Cost Ratio: GPT-4o-mini is 6.7x cheaper per input token than GPT-5.6 Luna.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0โ€“100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
91.0%vs82.0%+9.0% GPT-5.6 Luna
GPT-5.6 Luna ๐Ÿ†
GPT-4o-mini
HumanEvalPython coding & logic synthesis
92.2%vs84.0%+8.2% GPT-5.6 Luna
GPT-5.6 Luna ๐Ÿ†
GPT-4o-mini
MATHComplex mathematical problem solving
79.4%vs70.2%+9.2% GPT-5.6 Luna
GPT-5.6 Luna ๐Ÿ†
GPT-4o-mini
GPQAGraduate-level expert reasoning
57.8%vs45.0%+12.8% GPT-5.6 Luna
GPT-5.6 Luna ๐Ÿ†
GPT-4o-mini
HellaSwagCommonsense reasoning and inference
90.0%vs84.7%+5.3% GPT-5.6 Luna
GPT-5.6 Luna ๐Ÿ†
GPT-4o-mini
MT-BenchMulti-turn conversation flow quality
9.3%vs8.6%+0.7% GPT-5.6 Luna
GPT-5.6 Luna ๐Ÿ†
GPT-4o-mini

GPT-5.6 Luna Quirks & Gotchas

No developer gotchas reported.

GPT-4o-mini Quirks & Gotchas

  • โ–ธUltra-low latency โ€” best TTFT in the OpenAI lineup
  • โ–ธTool calling limited to single-step โ€” not suitable for complex agentic pipelines

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