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- GPT-6 Luna vs. Gemini 3.5 Flash
OpenAIGoogleLLM matchup
GPT-6 Lunavs.Gemini 3.5 Flash
Which one is better?
GPT-6 Luna and Gemini 3.5 Flash perform about equally well.
GPT-6 Luna
Rank 35
Gemini 3.5 Flash
Rank 33
GPT-6 Luna
Gemini 3.5 Flash
GPT-6 Luna
Gemini 3.5 Flash
GPT-6 Luna
Rank 30 of 785
Gemini 3.5 Flash
Rank 372 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 Gemini 3.5 Flash for
On this page
Where is the difference?
Strengths at a glance
GPT-6 LunaGemini 3.5 FlashMedian of all ranked models
95 % range: GPT-6 Luna 94.5 to 100.5, Gemini 3.5 Flash 84.8 to 94.9.
The same values and verdicts as the bars below. In the close-up the net starts at 80 points, just below the weaker model's lowest value; the reference group average is 100.
GPT-6 Luna is ahead in 2 of 10 areas, Gemini 3.5 Flash in 2.
GPT-6 Luna ahead: 2level: 6Gemini 3.5 Flash ahead: 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.
Gemini 3.5 Flash
The response reached the token limit. No complete recording is available.
Oct 6, 2026 · 32 s · $0.07
Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.
Test details
- Run date
- Oct 6, 2026
- API provider
- openrouter
- Requested API model
- google/gemini-3.5-flash
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 8,188 tokens
- Cost of the attempt
- $0.0737
- Response time
- 31.7 s
- API model reported in response
- google/gemini-3.5-flash
- Pinned endpoint
- Google AI Studio | google/gemini-3.5-flash-20260519
- Temperature
- Provider default
- Test protocol
- community-visual-tests-v1
- Technical checks
- Failed
Earlier attempts (3)
- Oct 2, 2026API request failedReasoning setting: high
- 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
Gemini 3.5 Flash
Unavailable in this round
GPT-6 Luna and Gemini 3.5 Flash 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.
GPT-6 Luna is more popular than Gemini 3.5 Flash: 60 to 37 out of 100.
Over time
Weekly values from October 18, 2026 to November 7, 2026
GPT-6 LunaGemini 3.5 Flash
All data side by side
The better value is bold. For the overall index only when the gap is clear.
| Metric | GPT-6 Luna | Gemini 3.5 Flash |
|---|---|---|
| Intelligence | ||
| Overall indexpoints, 100 = reference group average, higher is better | 96.3 | 96.9 |
| Rank | Rank 35 of 92 | Rank 33 of 92 |
| Price per 1M tokens | ||
| Inputwhat you send | $0.10above 272,000 tokens: $0.20 | n/a |
| Outputwhat the model writes | $0.50above 272,000 tokens: $0.75 | n/a |
| Cost per task (own tests)average of 2 original-protocol tasks both models passed (SVG short test not included) | $0.004 | $0.12 |
| Speed | ||
| Tokens per second | 101 | 184 |
| Popularity | ||
| Popularitysearch, usage and mentions, 0 to 100 | 60Rank 30 of 785 | 37Rank 372 of 785 |
| Technical | ||
| Context windowhow much text the model reads at once | 1.05 M tokens≈ 1,580 A4 pages | 1.05 M tokens≈ 1,570 A4 pages |
| Knowledge cutoff | May 18, 2026 | n/a |
| Released | Sep 22, 2026 | May 19, 2026 |
| Availability | Active | Discontinued |
| 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 96.7, rank 34$0.75 input and $3.75 output per 1M tokens
GPT-6 Luna vs. Gemini 3.6 FlashOverall index 126.1, rank 1$4 input and $20 output per 1M tokens
Gemini 3.5 Flash 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: Gemini 3.5 Flash
Show 54 more benchmarks
More comparisons
Compare GPT-6 Luna and Gemini 3.5 Flash 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 Luna vs. GPT-5.4 mini
- 6GPT-6 Astra vs. GPT-6 Luna
- 7GPT-6 Luna vs. GLM-5.3-Flash
- 8GPT-6.1 Sol vs. GPT-6 Luna
- 9GPT-6 Luna vs. DeepSeek-V4-Pro
Show all 53 comparisons
- 10Claude Sonnet 5 vs. GPT-6 Luna
- 11GPT-6 Luna vs. Gemini 3.5 Flash-Lite
- 12Claude Haiku 4.5 vs. GPT-6 Luna
- 13Claude Sonnet 4.6 vs. GPT-6 Luna
- 14GPT-6 Luna vs. GPT-5.4
- 15GPT-6 Luna vs. Gemini 3.1 Pro Preview
- 16Claude Sonnet 5.5 vs. GPT-6 Luna
- 17GPT-6 Luna vs. DeepSeek V4.1 Flash 1017
- 18Claude Opus 4.8 vs. GPT-6 Luna
- 19GPT-6 Luna vs. GPT-5.6 Sol
- 20GPT-6 Luna vs. Grok 4.7
- 21GPT-6 Luna vs. Gemini 3.6 Flash
- 22GPT-6 Sol vs. GPT-6 Luna
- 23Claude Opus 4.6 vs. GPT-6 Luna
- 24Claude Sonnet 4.5 vs. GPT-6 Luna
- 25GPT-6 Luna vs. Muse Spark 1.3
- 26GPT-6 Luna vs. DeepSeek-V4-Flash
- 27Claude Opus 5.5 vs. GPT-6 Luna
- 28GPT-6 Luna vs. Qwen 3.8 27B
- 29GPT-6 Luna vs. Qwen 3.8 Max 0902
- 30GPT-6 Luna vs. GLM-5.2
- 31Claude Haiku 5.5 vs. Gemini 3.5 Flash
- 32GPT-6 Luna vs. GPT-5.5
- 33GPT-6 Luna vs. Gemini 3.7 Flash
- 34Claude Fable 5.1 vs. GPT-6 Luna
- 35GPT-6 Luna vs. GLM-5.3
- 36GPT-6 Luna vs. Grok 4.6
- 37Claude Opus 4.5 vs. GPT-6 Luna
- 38Claude Opus 5.5 vs. Gemini 3.5 Flash
- 39GPT-6.1 Sol vs. Gemini 3.5 Flash
- 40GPT-6 Luna vs. MiMo-V2.5
- 41Claude Fable 5 vs. GPT-6 Luna
- 42GPT-6 Luna vs. Mistral Large 4
- 43Gemini 3.5 Flash vs. Qwen 3.8 27B
- 44GPT-6.1 Terra vs. GPT-6 Luna
- 45Claude Sonnet 5.5 vs. Gemini 3.5 Flash
- 46Gemini 3.5 Flash vs. DeepSeek-V4-Flash
- 47Gemini 3.8 Flash vs. Gemini 3.5 Flash
- 48GPT-6 Luna vs. Mistral Medium 3.5
- 49Gemini 3.5 Flash vs. DeepSeek-V4.1-Flash
- 50GPT-6 Luna vs. Grok 4.5
- 51Claude Opus 4.7 vs. GPT-6 Luna
- 52GPT-6 Luna vs. Gemini 4 Argon
- 53Gemini 4 Carbon vs. Gemini 3.5 Flash