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- GPT-6 Luna vs. DeepSeek-V4.1-Flash
OpenAIDeepSeekLLM matchup
GPT-6 Lunavs.DeepSeek-V4.1-Flash
Which one is better?
GPT-6 Luna and DeepSeek-V4.1-Flash perform about equally well, but DeepSeek-V4.1-Flash costs 1.5 times (input) and 1.2 times (output) as much.
GPT-6 Luna
Rank 35
DeepSeek-V4.1-Flash
Rank 29
GPT-6 Luna
DeepSeek-V4.1-Flash
GPT-6 Luna
DeepSeek-V4.1-Flash
GPT-6 Luna
Rank 30 of 785
DeepSeek-V4.1-Flash
Rank 62 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
No clear advantage
Choose DeepSeek-V4.1-Flash for
On this page
Where is the difference?
Strengths at a glance
GPT-6 LunaDeepSeek-V4.1-FlashMedian of all ranked models
95 % range: GPT-6 Luna 94.5 to 100.5, DeepSeek-V4.1-Flash 91.4 to 106.3.
The same values and verdicts as the bars below. In the close-up the net starts at 85 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: Reasoning, Mathematics, Knowledge.
DeepSeek-V4.1-Flash is ahead in 1 of 10 areas, GPT-6 Luna in none.
level: 3too little data: 3DeepSeek-V4.1-Flash slightly ahead: 3DeepSeek-V4.1-Flash ahead: 1
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.
GPT-6 Luna vs. DeepSeek-V4.1-Flash at the same effort
Both models measured at the same reasoning efforts. This shows whether a lead comes from the model or only from more compute.
| Effort | GPT-6 Luna | DeepSeek-V4.1-Flash | Gap | Verdict | Test series |
|---|---|---|---|---|---|
| none | 59.4 | 84.7 | 18.6 | DeepSeek-V4.1-Flash ahead | 3 |
| max | 96.3 | 99.7 | 1.9 | tied | 4 |
| Overall index (max vs. max) | 96.3 | 99.7 | 3.5 | DeepSeek-V4.1-Flash slightly ahead |
Gap and verdict compare only the Artificial Analysis test series in which both models are measured at that effort. Tied below 3 points, ahead only beyond two standard errors. The single values rest on all test series of each model, so their difference can deviate from the gap.
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.
DeepSeek-V4.1-Flash
The response reached the token limit. No complete recording is available.
Oct 5, 2026 · 26 s · $0.0049
Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.
Test details
- Run date
- Oct 5, 2026
- API provider
- openrouter
- Requested API model
- deepseek/deepseek-v4.1-flash
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 8,191 tokens
- Cost of the attempt
- $0.0049
- Response time
- 25.8 s
- API model reported in response
- deepseek/deepseek-v4.1-flash
- Pinned endpoint
- DeepSeek | deepseek/deepseek-v4.1-flash-20260910
- Temperature
- Provider default
- Test protocol
- community-visual-tests-v1
- Technical checks
- Failed
Earlier attempts (2)
- Oct 2, 2026API request failedReasoning setting: high
- Oct 1, 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
DeepSeek-V4.1-Flash

Oct 14, 2026 · $0.0001
Test details
- Test run
- Oct 14, 2026
- Provider
- decart/fp4
- API model
- deepseek/deepseek-v4.1-flash
- Output
- 590 tokens
- Reasoning
- API reports 0 reasoning tokens
- Cost of the attempt
- $0.0001
- Test round
- 43b8c5c46830
GPT-6 Luna and DeepSeek-V4.1-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
4 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 DeepSeek-V4.1-Flash: 60 to 55 out of 100.
Over time
Weekly values from October 18, 2026 to November 7, 2026
GPT-6 LunaDeepSeek-V4.1-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 | DeepSeek-V4.1-Flash |
|---|---|---|
| Intelligence | ||
| Overall indexpoints, 100 = reference group average, higher is better | 96.3 | 99.7 |
| Rank | Rank 35 of 92 | Rank 29 of 92 |
| Price per 1M tokens | ||
| Inputwhat you send | $0.10above 272,000 tokens: $0.20 | $0.15 |
| Outputwhat the model writes | $0.50above 272,000 tokens: $0.75 | $0.60 |
| Cost per task (own tests)average of 2 original-protocol tasks both models passed (SVG short test not included) | $0.004 | $0.008 |
| Speed | ||
| Tokens per second | 101 | 176 |
| Popularity | ||
| Popularitysearch, usage and mentions, 0 to 100 | 60Rank 30 of 785 | 55Rank 62 of 785 |
| Technical | ||
| Context windowhow much text the model reads at once | 1.05 M tokens≈ 1,580 A4 pages | 1 M tokens≈ 1,500 A4 pages |
| Knowledge cutoff | May 18, 2026 | n/a |
| Released | Sep 22, 2026 | Sep 10, 2026 |
| Availability | Active | Active |
| Open weights | no | yes |
- DeepSeek-V4.1-Flash: At peak times (Mon, Tue, Wed, Thu, Fri, 01:00-04:00 UTC; Mon, Tue, Wed, Thu, Fri, 06:00-10:00 UTC) the price is $0.30 input and $1.20 output per 1M tokens. The table shows the off-peak price.
Prices without caching or batch discounts · Page count as a rule of thumb from Artificial Analysis
Is there a better choice?
Overall index 106.6, rank 17$0.15 input and $0.60 output per 1M tokens
GPT-6 Luna vs. DeepSeek V4.1 Flash 1017Overall index 103.4, rank 20$0.10 input and $0.50 output per 1M tokens
DeepSeek-V4.1-Flash vs. Claude Haiku 5.5Overall index 126.1, rank 1$4 input and $20 output per 1M tokens
DeepSeek-V4.1-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: DeepSeek-V4.1-Flash
Show 54 more benchmarks
More comparisons
Compare GPT-6 Luna and DeepSeek-V4.1-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
- 4Gemini 3.8 Flash vs. DeepSeek-V4.1-Flash
- 5Muse Spark 1.3 vs. DeepSeek-V4.1-Flash
- 6Claude Sonnet 5.5 vs. DeepSeek-V4.1-Flash
- 7Claude Opus 5.5 vs. DeepSeek-V4.1-Flash
- 8GPT-6 Luna vs. GPT-5.4 mini
- 9GPT-6 Sol vs. DeepSeek-V4.1-Flash
Show all 89 comparisons
- 10Claude Haiku 5.5 vs. DeepSeek-V4.1-Flash
- 11GPT-6 Astra vs. GPT-6 Luna
- 12GPT-6 Luna vs. GLM-5.3-Flash
- 13GPT-6 Astra vs. DeepSeek-V4.1-Flash
- 14Grok 4.7 vs. DeepSeek-V4.1-Flash
- 15Claude Sonnet 5 vs. DeepSeek-V4.1-Flash
- 16GPT-6.1 Sol vs. GPT-6 Luna
- 17GPT-6 Luna vs. DeepSeek-V4-Pro
- 18DeepSeek-V4.1-Flash vs. Qwen 3.8 Max 0902
- 19GPT-5.6 Terra vs. DeepSeek-V4.1-Flash
- 20Claude Sonnet 5 vs. GPT-6 Luna
- 21Claude Opus 5 vs. DeepSeek-V4.1-Flash
- 22GPT-6 Luna vs. Gemini 3.5 Flash-Lite
- 23Claude Haiku 4.5 vs. GPT-6 Luna
- 24Claude Opus 4.6 vs. DeepSeek-V4.1-Flash
- 25GPT-6.1 Sol vs. DeepSeek-V4.1-Flash
- 26Claude Sonnet 4.6 vs. GPT-6 Luna
- 27GPT-6 Luna vs. GPT-5.4
- 28GPT-6 Luna vs. Gemini 3.1 Pro Preview
- 29DeepSeek-V4.1-Flash vs. GLM-5.3-Flash
- 30Claude Sonnet 4.6 vs. DeepSeek-V4.1-Flash
- 31Claude Sonnet 5.5 vs. GPT-6 Luna
- 32GPT-6 Luna vs. DeepSeek V4.1 Flash 1017
- 33DeepSeek-V4.1-Flash vs. GLM-5.2
- 34DeepSeek-V4.1-Flash vs. Mistral Large 4
- 35Claude Opus 4.8 vs. GPT-6 Luna
- 36DeepSeek-V4-Pro vs. DeepSeek-V4.1-Flash
- 37GPT-6 Luna vs. GPT-5.6 Sol
- 38GPT-6 Luna vs. Grok 4.7
- 39Gemini 3.1 Pro Preview vs. DeepSeek-V4.1-Flash
- 40GPT-6 Luna vs. Gemini 3.6 Flash
- 41DeepSeek-V4.1-Flash vs. MiMo-V2.5-Pro
- 42DeepSeek-V4.1-Flash vs. GLM-5.3
- 43GPT-6 Sol vs. GPT-6 Luna
- 44Claude Opus 4.6 vs. GPT-6 Luna
- 45Claude Sonnet 4.5 vs. GPT-6 Luna
- 46GPT-6 Luna vs. Muse Spark 1.3
- 47GPT-6 Luna vs. DeepSeek-V4-Flash
- 48Claude Opus 4.8 vs. DeepSeek-V4.1-Flash
- 49Claude Opus 5.5 vs. GPT-6 Luna
- 50Gemini 3.6 Flash vs. DeepSeek-V4.1-Flash
- 51Gemini 3.5 Flash-Lite vs. DeepSeek-V4.1-Flash
- 52Claude Haiku 4.5 vs. DeepSeek-V4.1-Flash
- 53GPT-6 Luna vs. Qwen 3.8 27B
- 54DeepSeek-V4.1-Flash vs. Kimi K3
- 55GPT-6 Luna vs. Qwen 3.8 Max 0902
- 56GPT-5.6 Sol vs. DeepSeek-V4.1-Flash
- 57GPT-6 Luna vs. GLM-5.2
- 58Claude Fable 5 vs. DeepSeek-V4.1-Flash
- 59GPT-5.6 Luna vs. DeepSeek-V4.1-Flash
- 60GPT-6 Luna vs. GPT-5.5
- 61DeepSeek-V4.1-Flash vs. Qwen 3.8 27B
- 62GPT-6 Luna vs. Gemini 3.7 Flash
- 63DeepSeek-V4.1-Flash vs. MiMo-V2.5
- 64Grok 4.6 vs. DeepSeek-V4.1-Flash
- 65Claude Fable 5.1 vs. GPT-6 Luna
- 66GPT-6 Luna vs. GLM-5.3
- 67GPT-6 Luna vs. Grok 4.6
- 68Claude Opus 4.5 vs. GPT-6 Luna
- 69Claude Fable 5.1 vs. DeepSeek-V4.1-Flash
- 70Claude Sonnet 4.5 vs. DeepSeek-V4.1-Flash
- 71DeepSeek-V4.1-Flash vs. Mistral Medium 3.5
- 72GPT-6 Luna vs. MiMo-V2.5
- 73Claude Fable 5 vs. GPT-6 Luna
- 74GPT-6 Luna vs. Mistral Large 4
- 75Claude Opus 4.5 vs. DeepSeek-V4.1-Flash
- 76DeepSeek-V4.1-Flash vs. GLM-5.1
- 77GPT-6 Luna vs. Gemini 3.5 Flash
- 78GPT-6.1 Terra vs. GPT-6 Luna
- 79GPT-6 Luna vs. Mistral Medium 3.5
- 80Claude Opus 4.7 vs. DeepSeek-V4.1-Flash
- 81DeepSeek-V4.1-Flash vs. Mistral Large 3
- 82Gemini 3.5 Flash vs. DeepSeek-V4.1-Flash
- 83GPT-6 Luna vs. Grok 4.5
- 84Claude Opus 4.7 vs. GPT-6 Luna
- 85GPT-6 Luna vs. Gemini 4 Argon
- 86DeepSeek-V4.1-Flash vs. Kimi K3.1 Pro
- 87GPT-6.1 Terra vs. DeepSeek-V4.1-Flash
- 88Gemini 4 Argon vs. DeepSeek-V4.1-Flash
- 89Muse Wonder vs. DeepSeek-V4.1-Flash