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- Claude Opus 4.7 vs. GPT-6 Luna
AnthropicOpenAILLM matchup
Claude Opus 4.7vs.GPT-6 Luna
Which one is better?
Claude Opus 4.7 and GPT-6 Luna perform about equally well, but Claude Opus 4.7 costs 50 times as much.
Claude Opus 4.7
Rank 39
GPT-6 Luna
Rank 35
Claude Opus 4.7
GPT-6 Luna
Claude Opus 4.7
GPT-6 Luna
Claude Opus 4.7
Rank 597 of 785
GPT-6 Luna
Rank 30 of 785
Above 272,000 tokens of context, GPT-6 Luna costs more: $0.20 input and $0.75 output per 1M tokens.
Choose Claude Opus 4.7 for
Choose GPT-6 Luna for
On this page
Where is the difference?
Strengths at a glance
Opus 4.7GPT-6 LunaMedian of all ranked models
95 % range: Opus 4.7 84.8 to 100.6, GPT-6 Luna 94.5 to 100.5.
The same values and verdicts as the bars below. In the close-up the net starts at 75 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.
Opus 4.7 is ahead in 2 of 10 areas, GPT-6 Luna in 2.
Opus 4.7 ahead: 2Opus 4.7 slightly ahead: 1level: 3too little data: 1GPT-6 Luna slightly ahead: 1GPT-6 Luna 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.
Claude Opus 4.7 vs. GPT-6 Luna 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 | Opus 4.7 | GPT-6 Luna | Gap | Verdict | Test series |
|---|---|---|---|---|---|
| max | 93.5 | 96.3 | 2.3 | tied | 3 |
| Overall index (max vs. max) | 93.5 | 96.3 | 2.8 | level |
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.
Claude Opus 4.7

Oct 1, 2026 · 20 s · $0.05
Test details
- Run date
- Oct 1, 2026
- API provider
- openrouter
- Requested API model
- anthropic/claude-opus-4.7
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 1,966 tokens
- Cost of the attempt
- $0.0493
- Response time
- 19.9 s
- API model reported in response
- anthropic/claude-opus-4.7
- Pinned endpoint
- Anthropic | anthropic/claude-4.7-opus-20260416
- 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-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.
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.
Claude Opus 4.7
Unavailable in this round
GPT-6 Luna
Unavailable in this round
Claude Opus 4.7 and GPT-6 Luna 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 Claude Opus 4.7: 60 to 27 out of 100.
Over time
Weekly values from October 18, 2026 to November 7, 2026
Claude Opus 4.7GPT-6 Luna
All data side by side
The better value is bold. For the overall index only when the gap is clear.
| Metric | Claude Opus 4.7 | GPT-6 Luna |
|---|---|---|
| Intelligence | ||
| Overall indexpoints, 100 = reference group average, higher is better | 93.5 | 96.3 |
| Rank | Rank 39 of 92 | Rank 35 of 92 |
| Price per 1M tokens | ||
| Inputwhat you send | $5 | $0.10above 272,000 tokens: $0.20 |
| Outputwhat the model writes | $25 | $0.50above 272,000 tokens: $0.75 |
| Cost per task (own tests)average of 3 original-protocol tasks both models passed (SVG short test not included) | $0.049 | $0.003 |
| Speed | ||
| Tokens per second | 80 | 101 |
| Popularity | ||
| Popularitysearch, usage and mentions, 0 to 100 | 27Rank 597 of 785 | 60Rank 30 of 785 |
| Technical | ||
| Context windowhow much text the model reads at once | 1 M tokens≈ 1,500 A4 pages | 1.05 M tokens≈ 1,580 A4 pages |
| Knowledge cutoff | January 2026 | May 18, 2026 |
| Released | April 2026 | Sep 22, 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 99.0, rank 30$5 input and $25 output per 1M tokens
GPT-6 Luna vs. Claude Opus 4.8Overall 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: Claude Opus 4.7B: GPT-6 Luna
Show 54 more benchmarks
More comparisons
Compare Claude Opus 4.7 and GPT-6 Luna 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 54 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
- 28Claude Sonnet 5.5 vs. Claude Opus 4.7
- 29GPT-6 Luna vs. Qwen 3.8 27B
- 30GPT-6 Luna vs. Qwen 3.8 Max 0902
- 31GPT-6 Luna vs. GLM-5.2
- 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 4.7 vs. GPT-6.1 Sol
- 39GPT-6 Luna vs. MiMo-V2.5
- 40Claude Fable 5 vs. GPT-6 Luna
- 41GPT-6 Luna vs. Mistral Large 4
- 42GPT-6 Luna vs. Gemini 3.5 Flash
- 43GPT-6.1 Terra vs. GPT-6 Luna
- 44Claude Opus 4.7 vs. Grok 4.7
- 45Claude Haiku 5.5 vs. Claude Opus 4.7
- 46Claude Opus 4.7 vs. GPT-6 Astra
- 47GPT-6 Luna vs. Mistral Medium 3.5
- 48Claude Opus 4.7 vs. DeepSeek-V4.1-Flash
- 49Claude Opus 4.7 vs. DeepSeek V4.1 Flash 1017
- 50GPT-6 Luna vs. Grok 4.5
- 51Claude Opus 4.7 vs. Claude Sonnet 4.6
- 52Claude Opus 4.7 vs. GLM-5.3
- 53GPT-6 Luna vs. Gemini 4 Argon
- 54Claude Opus 4.7 vs. Muse Wonder Full