For coding agents, GPT-5.4 Mini costs 3.1x as much as GPT-5.6 Luna per request ($0.023 vs $0.0072 on our measured traffic), because GPT-5.4 mini lists at $0.75/$4.50 against Luna's $0.20/$1.20.
Run GPT-5.6 Luna and GPT-6 Luna in your agent from $19/month
See plans| Cost at list price | GPT-5.6 Luna | GPT-5.4 Mini |
|---|---|---|
| Prompt under 100K tokens50% of requests, 87% of input cached | $0.0032 | $0.012 |
| Prompt of 100K to 272K39% of requests, 88% of input cached | $0.0080 | $0.030 |
| Prompt over 272K tokens11% of requests, 86% of input cached | $0.030 | $0.056 |
| Average request | $0.0072 | $0.023 |
| 100 requests | $0.72 | $2.27 |
| Median session16 requests; a session ends after 10 idle minutes | $0.082 | $0.30 |
| A month of regular usemedian of 20 users active on 5+ days | $11.66 | $34.90 |
Each logged request priced at the vendor’s list rates for its own token counts, including cache reads and any higher rate for long prompts. Average output: 698 tokens per request. Both models are priced on the requests up to 400K tokens that fit in both context windows; band shares above describe all requests.
| Artificial Analysis | GPT-5.6 Luna | GPT-5.4 Mini |
|---|---|---|
| Intelligence Index10 evaluations, 0 to 100 | 37 | 24 |
| Terminal-Bench 4.0agentic coding in a terminal | 11.6% | 2.0% |
| Output speedmedian | 123 tokens/s | 233 tokens/s |
| Time to first answer tokenincludes thinking time | 117 s | 2.1 min |
Source: Artificial Analysis (artificialanalysis.ai). Measured variants: GPT-5.6 Luna (Max), speed on OpenAI; GPT-5.4 mini (Xhigh), speed on OpenAI. Fetched October 13, 2026. Artificial Analysis runs Terminal-Bench 4.0 in its own setup, so its scores differ from the tbench.ai leaderboard.
GPT-5.4 mini's 400K window cannot take 3% of coding-agent requests; the comparison uses requests both can take. GPT-6 Luna is cheaper than either at $0.0041 per request.
Pick a winner in each dimension. You can change your vote any time. 5 votes cast so far.
Correctness and depth of what it produces
Tool calls, instruction-following, and multi-step tasks
Tokens per second and time-to-first-token
How much capability you get per dollar
Consistent results: fewer refusals, loops and format breaks
Setting it up? GPT-5.6 Luna: model ID, providers and agent config
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