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AnthropicOpenAILLM matchup

Claude Opus 4.5vs.GPT-6 Luna

Which one is better?

GPT-6 Luna performs better than Claude Opus 4.5 and is cheaper: Claude Opus 4.5 costs 50 times as much.

GPT-6 Luna ahead
IntelligenceOverall index, 100 points = average
73.3

Claude Opus 4.5

Rank 59

96.3

GPT-6 Luna

Rank 35

GPT-6 Luna faster
SpeedTokens per second
64

Claude Opus 4.5

101

GPT-6 Luna

GPT-6 Luna cheaper
Price$ per 1M tokens
$10

Claude Opus 4.5

$0.20

GPT-6 Luna

GPT-6 Luna more popular
Popularity0 to 100
26

Claude Opus 4.5

Rank 612 of 785

60

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 4.5 for

No clear advantage

Choose GPT-6 Luna for

AgentsReasoningCodingMathematicsFinanceMultimodalHealthProductivityLegalKnowledge

Where is the difference?

Strengths at a glance

Opus 4.5GPT-6 LunaMedian of all ranked models

8010012060CodingGPT-6 LunaReasoningGPT-6 LunaMathematicsGPT-6 LunaKnowledgeGPT-6 LunaAgentsGPT-6 LunaMultimodalGPT-6 LunaFinanceGPT-6 LunaLegalGPT-6 LunaHealthGPT-6 Luna
CodingGPT-6 Luna ahead
Opus 4.570.4no rank
GPT-6 Luna97.5Rank 35
Median of ranked models84.1

95 % range: Opus 4.5 62.1 to 78.8, GPT-6 Luna 94.5 to 100.5.

AreaOpus 4.5GPT-6 Luna

The same values and verdicts as the bars below. In the close-up the net starts at 60 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: General.

GPT-6 Luna is ahead in 9 of 10 areas, Opus 4.5 in none.

too little data: 1GPT-6 Luna ahead: 9

Areas in the overall index
AgentsGPT-6 Luna +3070.0 to 99.5
ReasoningGPT-6 Luna +2770.5 to 97.8
CodingGPT-6 Luna +2770.4 to 97.5
MathematicsGPT-6 Luna +2580.5 to 105.5
MultimodalGPT-6 Luna +1973.3 to 92.0
KnowledgeGPT-6 Luna +1574.5 to 89.2
Generalonly GPT-6 Luna has a score
Specialist fields
FinanceGPT-6 Luna +2177.6 to 98.3
HealthGPT-6 Luna +1877.2 to 95.2
LegalGPT-6 Luna +1674.6 to 90.7

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
ProductivityGPT-6 Luna +1773.5 to 90.5
Cybersecurityonly GPT-6 Luna has a score
Searchonly GPT-6 Luna has a score
Educationonly GPT-6 Luna has a score

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.

Writing and debugging codeGPT-6 LunaCoding 70.4 to 97.5
Maths and data analysisGPT-6 LunaMathematics 80.5 to 105.5, Reasoning 70.5 to 97.8
Facts and researchGPT-6 LunaKnowledge 74.5 to 89.2, Search without a score for Opus 4.5
Agents and workflowsGPT-6 LunaAgents 70.0 to 99.5
Fast chat repliesGPT-6 Luna64 to 101 tokens per second
Security analysisopenCybersecurity without a score for Opus 4.5
Many requests on a small budgetGPT-6 Luna$10 to $0.20 per 1M tokens
Finance, legal and medical textsGPT-6 LunaFinance 77.6 to 98.3, Legal 74.6 to 90.7, Health 77.2 to 95.2
Images, screenshots and PDFsGPT-6 LunaMultimodal 73.3 to 92.0

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.

Pelican on a bicycle

Prompt

Generate an SVG of a pelican riding a bicycle

Task origin: Simon Willison

Claude Opus 4.5

Claude Opus 4.5: Pelican on a bicycle
A community classic for free-form SVG drawing.

Oct 1, 2026 · 22 s · $0.05

Test details
Run date
Oct 1, 2026
API provider
openrouter
Requested API model
anthropic/claude-opus-4.5
Reasoning setting
high
Token limit including reasoning
8,192 tokens
Output tokens
1,810 tokens
Cost of the attempt
$0.0455
Response time
21.6 s
API model reported in response
anthropic/claude-opus-4.5
Pinned endpoint
Anthropic | anthropic/claude-4.5-opus-20251124
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

GPT-6 Luna: Pelican on a bicycle
A community classic for free-form SVG drawing.

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 4.5

Unavailable in this round

GPT-6 Luna

Unavailable in this round

Claude Opus 4.5 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.

Claude Opus 5.5max126.1
Gemini 4 Carbonhigh125.8
Claude Fable 5.1max123.8
Claude Sonnet 5.5max122.8
Gemini 4 Argonhigh122.3
GPT-6 Astramax121.3
GPT-6.1 Solmax119.2
Muse Wonder Fullmax118.3
Claude Opus 5max117.2
Muse Wondermax113.4
Kimi K3.1 Promax112.9
Claude Fable 5max112.5
GPT-6 Solmax110.5
GPT-5.6 Solmax108.7
Muse Spark 1.3max107.4
Gemini 3.7 Flashhigh107.1
DeepSeek V4.1 Flash 1017max106.6
Gemini 3.8 Flashhigh106.5
GPT-6 Lunamax96.3
Claude Opus 4.573.3

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 4.5: 60 to 26 out of 100.

Over time

Weekly values from October 18, 2026 to November 7, 2026

Claude Opus 4.5GPT-6 Luna

All data side by side

The better value is bold. For the overall index only when the gap is clear.

MetricClaude Opus 4.5GPT-6 Luna
Intelligence
Overall indexpoints, 100 = reference group average, higher is better73.396.3
RankRank 59 of 92Rank 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)$0.18$0.003
Speed
Tokens per second64101
Popularity
Popularitysearch, usage and mentions, 0 to 10026Rank 612 of 78560Rank 30 of 785
Technical
Context windowhow much text the model reads at once200,000 tokens≈ 300 A4 pages1.05 M tokens≈ 1,580 A4 pages
Knowledge cutoffMay 2025May 18, 2026
ReleasedNovember 2025Sep 22, 2026
AvailabilityActiveActive
Open weightsnono

Prices without caching or batch discounts · Page count as a rule of thumb from Artificial Analysis

Is there a better choice?

Successor of Opus 4.5Claude Opus 4.6

Overall index 81.8, rank 52$5 input and $25 output per 1M tokens

GPT-6 Luna vs. Claude Opus 4.6
As cheap as GPT-6 LunaClaude Haiku 5.5

Overall index 103.4, rank 20$0.10 input and $0.50 output per 1M tokens

GPT-6 Luna vs. Claude Haiku 5.5
Best model in the overall indexClaude Opus 5.5

Overall index 126.1, rank 1$4 input and $20 output per 1M tokens

GPT-6 Luna vs. Claude Opus 5.5

Shared 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 4.5B: GPT-6 Luna

MedCodeOverall · higher is betterTest setup not documented as identicalClaude Opus 4.5: 45.2%GPT-6 Luna: 44.7%Vals AIAs of 10/29/2026
MedScribeOverall · higher is betterTest setup not documented as identicalClaude Opus 4.5: 83.2%GPT-6 Luna: 83.7%Vals AIAs of 10/29/2026
MMMU-ProOverall · higher is betterClaude Opus 4.5: 71.2%GPT-6 Luna: 62.1%Artificial AnalysisAs of 11/07/2026

More comparisons

Compare Claude Opus 4.5 and GPT-6 Luna with the models people compare them with most often.

Compare another matchup

The most popular comparisons

  1. 1GPT-6 Luna vs. GPT-5.6 Terra
  2. 2Claude Haiku 5.5 vs. GPT-6 Luna
  3. 3GPT-6 Luna vs. Gemini 3.8 Flash
  4. 4GPT-6 Luna vs. DeepSeek-V4.1-Flash
  5. 5GPT-6 Luna vs. GPT-5.4 mini
  6. 6GPT-6 Astra vs. GPT-6 Luna
  7. 7GPT-6 Luna vs. GLM-5.3-Flash
  8. 8GPT-6.1 Sol vs. GPT-6 Luna
  9. 9GPT-6 Luna vs. DeepSeek-V4-Pro
Show all 57 comparisons
  1. 10Claude Sonnet 5 vs. GPT-6 Luna
  2. 11GPT-6 Luna vs. Gemini 3.5 Flash-Lite
  3. 12Claude Haiku 4.5 vs. GPT-6 Luna
  4. 13Claude Sonnet 4.6 vs. GPT-6 Luna
  5. 14GPT-6 Luna vs. GPT-5.4
  6. 15GPT-6 Luna vs. Gemini 3.1 Pro Preview
  7. 16Claude Sonnet 5.5 vs. GPT-6 Luna
  8. 17GPT-6 Luna vs. DeepSeek V4.1 Flash 1017
  9. 18Claude Opus 4.8 vs. GPT-6 Luna
  10. 19GPT-6 Luna vs. GPT-5.6 Sol
  11. 20GPT-6 Luna vs. Grok 4.7
  12. 21GPT-6 Luna vs. Gemini 3.6 Flash
  13. 22GPT-6 Sol vs. GPT-6 Luna
  14. 23Claude Opus 4.6 vs. GPT-6 Luna
  15. 24Claude Sonnet 4.5 vs. GPT-6 Luna
  16. 25GPT-6 Luna vs. Muse Spark 1.3
  17. 26GPT-6 Luna vs. DeepSeek-V4-Flash
  18. 27Claude Opus 5.5 vs. GPT-6 Luna
  19. 28Claude Opus 5.5 vs. Claude Opus 4.5
  20. 29GPT-6 Luna vs. Qwen 3.8 27B
  21. 30GPT-6 Luna vs. Qwen 3.8 Max 0902
  22. 31GPT-6 Luna vs. GLM-5.2
  23. 32GPT-6 Luna vs. GPT-5.5
  24. 33GPT-6 Luna vs. Gemini 3.7 Flash
  25. 34Claude Fable 5.1 vs. GPT-6 Luna
  26. 35GPT-6 Luna vs. GLM-5.3
  27. 36GPT-6 Luna vs. Grok 4.6
  28. 37GPT-6 Luna vs. MiMo-V2.5
  29. 38Claude Fable 5 vs. GPT-6 Luna
  30. 39GPT-6 Luna vs. Mistral Large 4
  31. 40Claude Opus 4.5 vs. DeepSeek-V4.1-Flash
  32. 41GPT-6 Luna vs. Gemini 3.5 Flash
  33. 42GPT-6.1 Terra vs. GPT-6 Luna
  34. 43Claude Opus 4.5 vs. Qwen 3.8 Max 0902
  35. 44Claude Opus 4.5 vs. GPT-6 Astra
  36. 45GPT-6 Luna vs. Mistral Medium 3.5
  37. 46GPT-6 Luna vs. Grok 4.5
  38. 47Claude Opus 4.5 vs. DeepSeek V4.1 Flash 1017
  39. 48Claude Opus 4.7 vs. GPT-6 Luna
  40. 49Claude Opus 4.5 vs. DeepSeek-V4-Pro
  41. 50Claude Sonnet 5.5 vs. Claude Opus 4.5
  42. 51Claude Opus 4.5 vs. Claude Sonnet 4.6
  43. 52Claude Opus 4.5 vs. Claude Sonnet 4.5
  44. 53Claude Opus 4.5 vs. GPT-5.6 Luna
  45. 54GPT-6 Luna vs. Gemini 4 Argon
  46. 55Claude Opus 4.5 vs. Gemini 4 Argon
  47. 56Claude Opus 4.5 vs. Gemini 4 Carbon
  48. 57Claude Opus 4.5 vs. Kimi K3.1 Pro