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- GPT-6 Luna vs. GPT-5.4 mini
OpenAILLM matchup
GPT-6 Lunavs.GPT-5.4 mini
Is the higher price worth it?
GPT-6 Luna performs better than GPT-5.4 mini and is cheaper: GPT-5.4 mini costs 7.5 times (input) and 9 times (output) as much.
GPT-6 Luna
Rank 35
GPT-5.4 mini
Rank 56
GPT-6 Luna
GPT-5.4 mini
GPT-6 Luna
GPT-5.4 mini
GPT-6 Luna
Rank 30 of 785
GPT-5.4 mini
Rank 38 of 785
Above 272,000 tokens of context, GPT-6 Luna costs more: $0.20 input and $0.75 output per 1M tokens.
Choose GPT-6 Luna for
Choose GPT-5.4 mini for
No clear advantage
On this page
Where is the difference?
Strengths at a glance
GPT-6 LunaGPT-5.4 miniMedian of all ranked models
95 % range: GPT-6 Luna 94.5 to 100.5, GPT-5.4 mini 71.9 to 79.8.
The same values and verdicts as the bars below. In the close-up the net starts at 65 points, just below the weaker model's lowest value; the reference group average is 100. Not in the net because a model has no own value there or the data are too thin: Mathematics, Health.
GPT-6 Luna is ahead in 8 of 10 areas, GPT-5.4 mini in none.
GPT-6 Luna ahead: 8too little data: 2
Bar length shows the gap in index points (full width 15 points, one standard deviation of the reference group). Solid means clearly ahead, hatched not certain yet, a thin grey bar level.
Show 4 more areas that do not count toward the overall index
Bar length shows the gap in index points (full width 15 points, one standard deviation of the reference group). Solid means clearly ahead, hatched not certain yet, a thin grey bar level.
Which model for which task?
Everyday tasks, translated from the area values above. Each row names the values it rests on.
See for yourself: same task, one attempt
The same prompt for both models. We show the latest attempt without fixes; it does not count toward the overall index.
GPT-6 Luna

Oct 1, 2026 · 47 s · $0.0022
Test details
- Run date
- Oct 1, 2026
- API provider
- openrouter
- Requested API model
- openai/gpt-6-luna
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 4,493 tokens
- Cost of the attempt
- $0.0022
- Response time
- 46.7 s
- API model reported in response
- openai/gpt-6-luna
- Pinned endpoint
- OpenAI | openai/gpt-6-luna-20260922
- Temperature
- Provider default
- Test protocol
- community-visual-tests-v1
- Technical checks
- Passed, not a quality rating
Visually reviewed. This individual test does not establish overall model quality.
GPT-5.4 mini

Oct 2, 2026 · 14 s · $0.01
Test details
- Run date
- Oct 2, 2026
- API provider
- openrouter
- Requested API model
- openai/gpt-5.4-mini
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 3,142 tokens
- Cost of the attempt
- $0.0142
- Response time
- 13.5 s
- API model reported in response
- openai/gpt-5.4-mini
- Pinned endpoint
- OpenAI | openai/gpt-5.4-mini-20260317
- Temperature
- Provider default
- Test protocol
- community-visual-tests-v1
- Technical checks
- Passed, not a quality rating
Visually reviewed. This individual test does not establish overall model quality.
Earlier attempts (2)
- Oct 1, 2026API request failedReasoning setting: high
- Sep 7, 2026API request failedReasoning setting: high
SVG short test
SVG short test
One SVG task with the same fixed settings for every model, without hidden thinking.
Prompt
Return only one standalone SVG of a pelican riding a bicycle. Use viewBox="0 0 800 600", simple shapes, two clearly visible wheels and a recognizable pelican with a long beak. At most 30 SVG elements and 1800 characters. No Markdown, explanations, comments, scripts, animation, CSS or external resources.
GPT-6 Luna
Unavailable in this round
GPT-5.4 mini
Unavailable in this round
GPT-6 Luna and GPT-5.4 mini in the overall index
Every model with a place in the overall index, both models of this matchup highlighted. You can add or hide other models.
Overall index (Gradually Meta-Score v4)
20 of 92 models
5 models in this view are measured at a lower reasoning effort than max in the overall index. Dashed column: lower reasoning effort than the top.
Popularity compared
How often the models are searched for, used and mentioned, on a scale from 0 to 100.
Both are about as popular: GPT-6 Luna 60, GPT-5.4 mini 59 out of 100.
Over time
Weekly values from October 18, 2026 to November 7, 2026
GPT-6 LunaGPT-5.4 mini
All data side by side
The better value is bold. For the overall index only when the gap is clear.
| Metric | GPT-6 Luna | GPT-5.4 mini |
|---|---|---|
| Intelligence | ||
| Overall indexpoints, 100 = reference group average, higher is better | 96.3 | 75.6 |
| Rank | Rank 35 of 92 | Rank 56 of 92 |
| Price per 1M tokens | ||
| Inputwhat you send | $0.10above 272,000 tokens: $0.20 | $0.75 |
| Outputwhat the model writes | $0.50above 272,000 tokens: $0.75 | $4.50 |
| Cost per task (own tests)average of 1 original-protocol task both models passed (SVG short test not included) | $0.002 | $0.014 |
| Speed | ||
| Tokens per second | 101 | 191 |
| Popularity | ||
| Popularitysearch, usage and mentions, 0 to 100 | 60Rank 30 of 785 | 59Rank 38 of 785 |
| Technical | ||
| Context windowhow much text the model reads at once | 1.05 M tokens≈ 1,580 A4 pages | 400,000 tokens≈ 600 A4 pages |
| Knowledge cutoff | May 18, 2026 | Aug 31, 2025 |
| Released | Sep 22, 2026 | Mar 17, 2026 |
| Availability | Active | Active |
| Open weights | no | no |
Prices without caching or batch discounts · Page count as a rule of thumb from Artificial Analysis
Is there a better choice?
Overall index 103.4, rank 20$0.10 input and $0.50 output per 1M tokens
GPT-6 Luna vs. Claude Haiku 5.5Overall index 126.1, rank 1$4 input and $20 output per 1M tokens
GPT-6 Luna vs. Claude Opus 5.5Shared benchmarks
Single results from the same benchmark version, task and metric. A value is bold only with the same test setup and a clear gap.
A: GPT-6 LunaB: GPT-5.4 mini
Show 54 more benchmarks
More comparisons
Compare GPT-6 Luna and GPT-5.4 mini with the models people compare them with most often.
Compare another matchup
Predecessor and successor
The most popular comparisons
- 1GPT-6 Luna vs. GPT-5.6 Terra
- 2Claude Haiku 5.5 vs. GPT-6 Luna
- 3GPT-6 Luna vs. Gemini 3.8 Flash
- 4GPT-6 Luna vs. DeepSeek-V4.1-Flash
- 5GPT-6 Astra vs. GPT-6 Luna
- 6GPT-6 Luna vs. GLM-5.3-Flash
- 7GPT-6.1 Sol vs. GPT-6 Luna
- 8GPT-6 Luna vs. DeepSeek-V4-Pro
- 9Claude Sonnet 5 vs. GPT-6 Luna
Show all 50 comparisons
- 10GPT-6 Luna vs. Gemini 3.5 Flash-Lite
- 11Claude Haiku 4.5 vs. GPT-6 Luna
- 12Claude Sonnet 4.6 vs. GPT-6 Luna
- 13GPT-6 Luna vs. GPT-5.4
- 14GPT-6 Luna vs. Gemini 3.1 Pro Preview
- 15Claude Sonnet 5.5 vs. GPT-6 Luna
- 16GPT-6 Luna vs. DeepSeek V4.1 Flash 1017
- 17Claude Opus 4.8 vs. GPT-6 Luna
- 18GPT-6.1 Sol vs. GPT-5.4 mini
- 19GPT-6 Luna vs. GPT-5.6 Sol
- 20GPT-5.6 Luna vs. GPT-5.4 mini
- 21GPT-6 Luna vs. Grok 4.7
- 22GPT-6 Luna vs. Gemini 3.6 Flash
- 23GPT-6 Sol vs. GPT-6 Luna
- 24Claude Opus 4.6 vs. GPT-6 Luna
- 25Claude Sonnet 4.5 vs. GPT-6 Luna
- 26GPT-6 Luna vs. Muse Spark 1.3
- 27GPT-6 Luna vs. DeepSeek-V4-Flash
- 28Claude Opus 5.5 vs. GPT-6 Luna
- 29GPT-6 Luna vs. Qwen 3.8 27B
- 30GPT-6 Luna vs. Qwen 3.8 Max 0902
- 31GPT-5.4 mini vs. Gemini 3.8 Flash
- 32GPT-6 Luna vs. GLM-5.2
- 33GPT-6 Luna vs. GPT-5.5
- 34GPT-6 Luna vs. Gemini 3.7 Flash
- 35Claude Haiku 5.5 vs. GPT-5.4 mini
- 36GPT-5.4 mini vs. Qwen 3.8 27B
- 37Claude Fable 5.1 vs. GPT-6 Luna
- 38GPT-6 Luna vs. GLM-5.3
- 39GPT-6 Luna vs. Grok 4.6
- 40Claude Opus 4.5 vs. GPT-6 Luna
- 41GPT-6 Luna vs. MiMo-V2.5
- 42Claude Fable 5 vs. GPT-6 Luna
- 43GPT-6 Luna vs. Mistral Large 4
- 44GPT-6 Luna vs. Gemini 3.5 Flash
- 45GPT-6.1 Terra vs. GPT-6 Luna
- 46GPT-6 Luna vs. Mistral Medium 3.5
- 47GPT-6 Luna vs. Grok 4.5
- 48Claude Opus 4.7 vs. GPT-6 Luna
- 49GPT-6 Luna vs. Gemini 4 Argon
- 50GPT-6.1 Terra vs. GPT-5.4 mini