What is GPT-5.6 Luna best for?
GPT-5.6 Luna is best for cheap high-throughput summarization, drafting, and routine agent steps. It is a strong fit when that workflow matters more than the tradeoffs around budget pricing and fast speed.
Best budget model from a frontier lab — near-frontier scores at commodity price.
Cheap high-throughput summarization, drafting, and routine agent steps
Your workload actually uses the long context window — recall drops to 41% past 512K tokens.
Fully public July 9, 2026; price cut ~80% to $0.20/$1.20 on July 30, 2026 (launched at $1/$6). Many third-party pages still show the old price.
Punches far above its price: GPQA Diamond 92.3%, SWE-bench Pro 62.7%, Terminal-Bench 2.1 84.7%
$0.20/$1.20 per 1M after the July 30, 2026 price cut — dramatically cheaper per token than Gemini 3.6 Flash
Full 1.05M-token context at budget pricing — larger than most rival small models
Long-context recall collapses at scale: 41.3% on 512K–1M token tasks vs Terra's 72.5%
Text and image input only — no video, audio, or native PDF ingestion like Gemini 3.6 Flash
What people actually use GPT-5.6 Luna for.
High-volume summarization and drafting at $0.20/1M input
Routine steps in agent pipelines where Sol/Terra would be overkill
Budget coding assistance — 62.7% SWE-bench Pro within ~2 points of Sol at 1/25th the output cost
Cheap high-throughput summarization, drafting, and routine agent steps. Start free — no card required.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
GPT-5.6 Luna is best for cheap high-throughput summarization, drafting, and routine agent steps. It is a strong fit when that workflow matters more than the tradeoffs around budget pricing and fast speed.
Your workload actually uses the long context window — recall drops to 41% past 512K tokens.
Mistral: Mistral Nemo is the lower-cost option to compare first when you want a similar workflow fit with less token spend.
GPT-5.6 Luna is the better pick when response time matters more than maximum depth or premium quality.
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