High-volume, cost-sensitive work
Choose GPT-5 nano
GPT-5 nano costs 31% less on a typical mix of three input tokens for every output token ($0.14 against $0.20 per million tokens).
Choose GPT-5 nano for high-volume, cost-sensitive work, writing and code generation and reused prompts and documents (RAG, agents). Choose GPT-6 Luna for very long inputs, reasoning over long documents, the latest release and the most recent knowledge.
Each answer below comes straight from the published prices, specifications and independent benchmark results.
Choose GPT-5 nano
GPT-5 nano costs 31% less on a typical mix of three input tokens for every output token ($0.14 against $0.20 per million tokens).
Choose GPT-5 nano
GPT-5 nano charges $0.40 per million output tokens, against $0.50 for GPT-6 Luna. Output dominates the bill when answers are long.
Choose GPT-5 nano
GPT-5 nano charges <$0.01 per million cached input tokens, against $0.01 for GPT-6 Luna.
Choose GPT-6 Luna
GPT-6 Luna reads up to 1.05M tokens per request, against 400k for GPT-5 nano.
Choose GPT-6 Luna
GPT-6 Luna scores 83.3% on Long-context reasoning (AA-LCR), against 45% for GPT-5 nano.
Choose GPT-6 Luna
GPT-6 Luna is the newer release (Sep 22, 2026, against Aug 7, 2025 for GPT-5 nano).
Choose GPT-6 Luna
GPT-6 Luna was trained on data up to May 2026, against May 2024 for GPT-5 nano.
| Volume | GPT-5 nano | GPT-6 Luna | Difference |
|---|---|---|---|
| Prototype: 1M input, 250K output tokens | $0.15 | $0.23 | GPT-5 nano, $0.08 less |
| Production: 20M input, 5M output tokens | $3.00 | $4.50 | GPT-5 nano, $1.50 less |
| Scale: 500M input, 100M output tokens | $65.00 | $100.00 | GPT-5 nano, $35.00 less |
Standard rates, without caching or batch discounts. Volumes are per month.
| GPT-5 nano | GPT-6 Luna | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Category | Language models | Language models |
| Status | Legacy | Generally available |
| Headline price | $0.1375 / 1M tokens | $0.20 / 1M tokens |
| Input | $0.05 / 1M tokens | $0.10 / 1M tokens |
| Output | $0.40 / 1M tokens | $0.50 / 1M tokens |
| Cached input | $0.005 / 1M tokens | $0.01 / 1M tokens |
| Context window | 400k | 1.05M |
| Max output | 128k | 128k |
| Released | Aug 7, 2025 | Sep 22, 2026 |
| Knowledge cutoff | May 2024 | May 2026 |
| Licence | Proprietary | Proprietary |
| Capabilities | Vision, Reasoning, Tool calling, Structured output, Prompt caching, Batch API | Vision, Reasoning, Tool calling, Structured output, Prompt caching, Batch API |
| API model id | gpt-5-nano | gpt-6-luna |
Leader in bold.
| Benchmark | GPT-5 nano | GPT-6 Luna |
|---|---|---|
| Humanity's Last Exam | 9.5% | 38.5% |
| MMMU-Pro (visual reasoning) | 61% | 79.7% |
| Long-context reasoning (AA-LCR) | 45% | 83.3% |
| Terminal-Bench Hard | 12.1% | No data |
| GPQA Diamond | 67.6% | No data |
| IFBench (instruction following) | 67.6% | No data |
| τ²-Bench (agentic tool use) | 36.5% | No data |
| Intelligence Index | No data | 38.1 |
| SciCode | No data | 54.6% |
Independent evaluations by Artificial Analysis, run the same way for every model, at the reasoning setting shown. Percentages unless marked as an index.
Choose GPT-5 nano for high-volume, cost-sensitive work, writing and code generation and reused prompts and documents (RAG, agents). Choose GPT-6 Luna for very long inputs, reasoning over long documents, the latest release and the most recent knowledge.
GPT-5 nano is 31% cheaper than GPT-6 Luna at the headline price ($0.1375 / 1M tokens vs $0.20 / 1M tokens).
GPT-6 Luna reads more per request: 1.05M tokens against 400k.
GPT-5 nano is made by OpenAI and GPT-6 Luna by OpenAI. GPT-5 nano is 31% cheaper than GPT-6 Luna at the headline price ($0.1375 / 1M tokens vs $0.20 / 1M tokens). GPT-6 Luna reads more per request: 1.05M tokens against 400k. GPT-6 Luna is the newer model (Sep 22, 2026, against Aug 7, 2025).
At 20 million input and 5 million output tokens a month, GPT-5 nano costs $3.00 and GPT-6 Luna costs $4.50, at standard rates.
GPT-6 Luna was released on Sep 22, 2026 and GPT-5 nano on Aug 7, 2025.