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- Claude Opus 5.5 vs. GPT-6 Luna
AnthropicOpenAILLM matchup
Claude Opus 5.5vs.GPT-6 Luna
Which one is better?
Claude Opus 5.5 performs better than GPT-6 Luna, but costs 40 times as much.
Claude Opus 5.5
Rank 1
GPT-6 Luna
Rank 35
Claude Opus 5.5
GPT-6 Luna
Claude Opus 5.5
GPT-6 Luna
Claude Opus 5.5
Rank 8 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 5.5 for
Choose GPT-6 Luna for
No clear advantage
On this page
Where is the difference?
Strengths at a glance
Opus 5.5GPT-6 LunaMedian of all ranked models
95 % range: Opus 5.5 121.2 to 138.7, 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 80 points, just below the weaker model's lowest value; the reference group average is 100.
Opus 5.5 is ahead in 10 of 10 areas, GPT-6 Luna in none.
Opus 5.5 ahead: 10
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 5.5 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 5.5 | GPT-6 Luna | Gap | Verdict | Test series |
|---|---|---|---|---|---|
| low | 106.6 | 65.2 | 41.5 | Opus 5.5 ahead | 12 |
| medium | 117.5 | 82.4 | 35.1 | Opus 5.5 ahead | 12 |
| high | 120.4 | 87.1 | 33.3 | Opus 5.5 ahead | 12 |
| xhigh | 124.2 | 90.6 | 33.6 | Opus 5.5 ahead | 12 |
| max | 126.1 | 96.3 | 28.7 | Opus 5.5 ahead | 13 |
| Overall index (max vs. max) | 126.1 | 96.3 | 29.9 | Opus 5.5 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.
Claude Opus 5.5

Oct 1, 2026 · 33 s · $0.07
Test details
- Run date
- Oct 1, 2026
- API provider
- openrouter
- Requested API model
- anthropic/claude-opus-5.5
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 3,536 tokens
- Cost of the attempt
- $0.0708
- Response time
- 33.2 s
- API model reported in response
- anthropic/claude-opus-5.5
- Pinned endpoint
- Anthropic | anthropic/claude-opus-5.5-20260921
- 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 5.5
Unavailable in this round
GPT-6 Luna
Unavailable in this round
Claude Opus 5.5 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.
Claude Opus 5.5 is more popular than GPT-6 Luna: 68 to 60 out of 100.
Over time
Weekly values from October 18, 2026 to November 7, 2026
Claude Opus 5.5GPT-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 5.5 | GPT-6 Luna |
|---|---|---|
| Intelligence | ||
| Overall indexpoints, 100 = reference group average, higher is better | 126.1 | 96.3 |
| Rank | Rank 1 of 92 | Rank 35 of 92 |
| Price per 1M tokens | ||
| Inputwhat you send | $4 | $0.10above 272,000 tokens: $0.20 |
| Outputwhat the model writes | $20 | $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) | $0.11 | $0.003 |
| Speed | ||
| Tokens per second | 106 | 101 |
| Popularity | ||
| Popularitysearch, usage and mentions, 0 to 100 | 68Rank 8 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 | June 2026 | May 18, 2026 |
| Released | Sep 22, 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 103.4, rank 20$0.10 input and $0.50 output per 1M tokens
Opus 5.5 vs. Claude Haiku 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 5.5B: GPT-6 Luna
Show 54 more benchmarks
More comparisons
Compare Claude Opus 5.5 and GPT-6 Luna with the models people compare them with most often.
Compare another matchup
Predecessor and successor
The most popular comparisons
- 1Claude Opus 5.5 vs. GPT-6 Astra
- 2GPT-6 Luna vs. GPT-5.6 Terra
- 3Claude Haiku 5.5 vs. GPT-6 Luna
- 4Claude Opus 5.5 vs. Claude Sonnet 5.5
- 5Claude Opus 5.5 vs. DeepSeek-V4-Pro
- 6Claude Opus 5.5 vs. Kimi K3.1 Pro
- 7Claude Opus 5.5 vs. Gemini 4 Argon
- 8GPT-6 Luna vs. Gemini 3.8 Flash
- 9Claude Opus 5.5 vs. Gemini 3.8 Flash
Show all 89 comparisons
- 10Claude Opus 5.5 vs. Claude Fable 5.1
- 11GPT-6 Luna vs. DeepSeek-V4.1-Flash
- 12Claude Opus 5.5 vs. DeepSeek-V4.1-Flash
- 13GPT-6 Luna vs. GPT-5.4 mini
- 14Claude Opus 5.5 vs. Qwen 3.8 Max 0902
- 15Claude Opus 5.5 vs. GLM-5.3-Flash
- 16Claude Opus 5.5 vs. GPT-6.1 Sol
- 17Claude Opus 5.5 vs. Kimi K3
- 18Claude Opus 5.5 vs. Claude Sonnet 5
- 19Claude Opus 5.5 vs. Claude Haiku 5.5
- 20GPT-6 Astra vs. GPT-6 Luna
- 21Claude Opus 5.5 vs. GLM-5.3
- 22GPT-6 Luna vs. GLM-5.3-Flash
- 23Claude Opus 5.5 vs. GPT-5.6 Terra
- 24Claude Opus 5.5 vs. Gemini 3.1 Pro Preview
- 25Claude Opus 5.5 vs. Claude Opus 4.6
- 26Claude Opus 5.5 vs. Claude Sonnet 4.6
- 27Claude Opus 5.5 vs. Qwen 3.8 27B
- 28GPT-6.1 Sol vs. GPT-6 Luna
- 29GPT-6 Luna vs. DeepSeek-V4-Pro
- 30Claude Opus 5.5 vs. Grok 4.6
- 31Claude Sonnet 5 vs. GPT-6 Luna
- 32Claude Opus 5.5 vs. GLM-5.2
- 33Claude Opus 5.5 vs. Gemini 4 Carbon
- 34GPT-6 Luna vs. Gemini 3.5 Flash-Lite
- 35Claude Haiku 4.5 vs. GPT-6 Luna
- 36Claude Opus 5.5 vs. DeepSeek V4.1 Flash 1017
- 37Claude Opus 5.5 vs. Claude Sonnet 4.5
- 38Claude Sonnet 4.6 vs. GPT-6 Luna
- 39GPT-6 Luna vs. GPT-5.4
- 40Claude Opus 5.5 vs. Muse Spark 1.3
- 41GPT-6 Luna vs. Gemini 3.1 Pro Preview
- 42Claude Opus 5.5 vs. Claude Opus 4.8
- 43Claude Opus 5.5 vs. GPT-5.6 Luna
- 44Claude Sonnet 5.5 vs. GPT-6 Luna
- 45GPT-6 Luna vs. DeepSeek V4.1 Flash 1017
- 46Claude Opus 5.5 vs. Mistral Large 4
- 47Claude Opus 5.5 vs. GPT-5.6 Sol
- 48Claude Opus 4.8 vs. GPT-6 Luna
- 49GPT-6 Luna vs. GPT-5.6 Sol
- 50Claude Opus 5.5 vs. GPT-5.5
- 51GPT-6 Luna vs. Grok 4.7
- 52GPT-6 Luna vs. Gemini 3.6 Flash
- 53Claude Opus 5.5 vs. DeepSeek-V4-Flash
- 54Claude Opus 5.5 vs. Grok 4.7
- 55GPT-6 Sol vs. GPT-6 Luna
- 56Claude Opus 4.6 vs. GPT-6 Luna
- 57Claude Sonnet 4.5 vs. GPT-6 Luna
- 58GPT-6 Luna vs. Muse Spark 1.3
- 59GPT-6 Luna vs. DeepSeek-V4-Flash
- 60Claude Opus 5.5 vs. Mistral Large 3
- 61Claude Opus 5.5 vs. Claude Opus 4.5
- 62GPT-6 Luna vs. Qwen 3.8 27B
- 63GPT-6 Luna vs. Qwen 3.8 Max 0902
- 64Claude Opus 5.5 vs. Claude Fable 5
- 65Claude Opus 5.5 vs. GPT-6 Sol
- 66GPT-6 Luna vs. GLM-5.2
- 67Claude Opus 5.5 vs. Gemini 3.6 Flash
- 68GPT-6 Luna vs. GPT-5.5
- 69GPT-6 Luna vs. Gemini 3.7 Flash
- 70Claude Opus 5.5 vs. Mistral Medium 3.5
- 71Claude Opus 5.5 vs. Muse Wonder Full
- 72Claude Opus 5.5 vs. Claude Haiku 4.5
- 73Claude Fable 5.1 vs. GPT-6 Luna
- 74GPT-6 Luna vs. GLM-5.3
- 75GPT-6 Luna vs. Grok 4.6
- 76Claude Opus 4.5 vs. GPT-6 Luna
- 77Claude Opus 5.5 vs. Gemini 3.5 Flash
- 78Claude Opus 5.5 vs. GPT-6.1 Terra
- 79Claude Opus 5.5 vs. GPT-5.4
- 80Claude Opus 5.5 vs. GLM-5.1
- 81GPT-6 Luna vs. MiMo-V2.5
- 82Claude Fable 5 vs. GPT-6 Luna
- 83GPT-6 Luna vs. Mistral Large 4
- 84GPT-6 Luna vs. Gemini 3.5 Flash
- 85GPT-6.1 Terra vs. GPT-6 Luna
- 86GPT-6 Luna vs. Mistral Medium 3.5
- 87GPT-6 Luna vs. Grok 4.5
- 88Claude Opus 4.7 vs. GPT-6 Luna
- 89GPT-6 Luna vs. Gemini 4 Argon