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AnthropicOpenAILLM matchup

Claude Sonnet 4.6vs.GPT-6 Luna

Which one is better?

GPT-6 Luna performs better than Claude Sonnet 4.6 and is cheaper: Claude Sonnet 4.6 costs 30 times as much.

GPT-6 Luna ahead
IntelligenceOverall index, 100 points = average
86.4

Claude Sonnet 4.6

Rank 44

96.3

GPT-6 Luna

Rank 35

GPT-6 Luna faster
SpeedTokens per second
60

Claude Sonnet 4.6

101

GPT-6 Luna

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

Claude Sonnet 4.6

$0.20

GPT-6 Luna

GPT-6 Luna more popular
Popularity0 to 100
54

Claude Sonnet 4.6

Rank 67 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 Sonnet 4.6 for

No clear advantage

Choose GPT-6 Luna for

HealthReasoningAgentsGeneralCodingFinance (not certain)Multimodal (not certain)

Where is the difference?

Strengths at a glance

Sonnet 4.6GPT-6 LunaMedian of all ranked models

809010011070CodingGPT-6 LunaReasoningGPT-6 LunaAgentsGPT-6 LunaGeneralGPT-6 LunaMultimodalslightlyGPT-6 LunaFinanceslightlyGPT-6 LunaLegallevelHealthGPT-6 Luna
CodingGPT-6 Luna ahead
Sonnet 4.686.9Rank 53
GPT-6 Luna97.5Rank 35
Median of ranked models84.1

95 % range: Sonnet 4.6 80.1 to 93.7, GPT-6 Luna 94.5 to 100.5.

AreaSonnet 4.6GPT-6 Luna

The same values and verdicts as the bars below. In the close-up the net starts at 70 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, Knowledge.

GPT-6 Luna is ahead in 5 of 10 areas, Sonnet 4.6 in none.

level: 1too little data: 2GPT-6 Luna slightly ahead: 2GPT-6 Luna ahead: 5

Areas in the overall index
ReasoningGPT-6 Luna +1384.4 to 97.8
AgentsGPT-6 Luna +1386.7 to 99.5
GeneralGPT-6 Luna +1183.1 to 94.4
CodingGPT-6 Luna +1186.9 to 97.5
Multimodalleaning GPT-6 Lunanot certain · 3 and 2 tests
Knowledgetoo little data87.2 to 89.2
Mathematicsonly GPT-6 Luna has a score
Specialist fields
HealthGPT-6 Luna +1778.4 to 95.2
Financeleaning GPT-6 Lunanot certain · 6 and 5 tests
Legallevel90.3 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
Productivitytoo little data89.1 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.

Claude Sonnet 4.6 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.

maxGPT-6 Luna ahead
Sonnet 4.6 86.4 vs. GPT-6 Luna 96.3 · Gap 19.6 · Test series 3
Overall index (max vs. max)GPT-6 Luna ahead
Sonnet 4.6 86.4 vs. GPT-6 Luna 96.3

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.

Writing and debugging codeGPT-6 LunaCoding 86.9 to 97.5
Maths and data analysisGPT-6 LunaMathematics without a score for Sonnet 4.6, Reasoning 84.4 to 97.8
Facts and researchopenKnowledge 87.2 to 89.2 (too little data), Search without a score for Sonnet 4.6
Agents and workflowsGPT-6 LunaAgents 86.7 to 99.5
Fast chat repliesGPT-6 Luna60 to 101 tokens per second
Security analysisopenCybersecurity without a score for Sonnet 4.6
Many requests on a small budgetGPT-6 Luna$6 to $0.20 per 1M tokens
Finance, legal and medical textsGPT-6 LunaFinance 94.5 to 98.3, Legal 90.3 to 90.7, Health 78.4 to 95.2
Images, screenshots and PDFsleaning GPT-6 LunaMultimodal 88.2 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 Sonnet 4.6

The response reached the token limit. No complete recording is available.

Oct 6, 2026 · 106 s · $0.12

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
anthropic/claude-sonnet-4.6
Reasoning setting
high
Token limit including reasoning
8,192 tokens
Output tokens
8,192 tokens
Cost of the attempt
$0.1229
Response time
106 s
API model reported in response
anthropic/claude-sonnet-4.6
Pinned endpoint
Anthropic | anthropic/claude-4.6-sonnet-20260217
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

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 Sonnet 4.6

Claude Sonnet 4.6: SVG short test

Oct 14, 2026 · $0.0113

Test details
Test run
Oct 14, 2026
Provider
anthropic
API model
anthropic/claude-sonnet-4.6
Output
738 tokens
Reasoning
API reports 0 reasoning tokens
Cost of the attempt
$0.0113
Test round
43b8c5c46830

GPT-6 Luna

Unavailable in this round

Claude Sonnet 4.6 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 Sonnet 4.6max86.4

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 Sonnet 4.6: 60 to 54 out of 100.

Over time

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

Claude Sonnet 4.6GPT-6 Luna

All data side by side

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

MetricClaude Sonnet 4.6GPT-6 Luna
Intelligence
Overall indexpoints, 100 = reference group average, higher is better86.496.3
RankRank 44 of 92Rank 35 of 92
Price per 1M tokens
Inputwhat you send$3$0.10above 272,000 tokens: $0.20
Outputwhat the model writes$15$0.50above 272,000 tokens: $0.75
Speed
Tokens per second60101
Popularity
Popularitysearch, usage and mentions, 0 to 10054Rank 67 of 78560Rank 30 of 785
Technical
Context windowhow much text the model reads at once1 M tokens≈ 1,500 A4 pages1.05 M tokens≈ 1,580 A4 pages
Knowledge cutoffAugust 2025May 18, 2026
ReleasedFebruary 2026Sep 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 Sonnet 4.6Claude Sonnet 5

Overall index 92.1, rank 40$2 input and $10 output per 1M tokens

GPT-6 Luna vs. Claude Sonnet 5
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 Sonnet 4.6B: GPT-6 Luna

AA-AnalystAgentOverall · higher is betterClaude Sonnet 4.6: 20.0%GPT-6 Luna: 43.8%Artificial AnalysisAs of 11/07/2026
Code MigrationOverall · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 39.9%GPT-6 Luna: 42.6%Vals AIAs of 10/29/2026
EMBOverall · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 60.2%GPT-6 Luna: 68.5%Vals AIAs of 10/20/2026
Finance Agent (v2)Overall · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 51.0%GPT-6 Luna: 49.9%Vals AIAs of 10/29/2026
GDPval-AAOverall · higher is betterClaude Sonnet 4.6: 1,240.5 eloGPT-6 Luna: 1,444.5 eloArtificial AnalysisAs of 11/07/2026
Legal Research BenchOverall · All-pass · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 38.5%GPT-6 Luna: 30.3%Vals AIAs of 11/05/2026
LMArena Code Arena WebDevOverall · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 1,523GPT-6 Luna: 1,579LMArenaAs of 10/28/2026
LMArena Text, Style ControlOverall · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 1,472GPT-6 Luna: 1,441LMArenaAs of 10/28/2026
LMArena Vision, Style ControlOverall · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 1,275GPT-6 Luna: 1,240LMArenaAs of 10/19/2026
MMMU-ProOverall · higher is betterClaude Sonnet 4.6: 73.3%GPT-6 Luna: 79.7%Artificial AnalysisAs of 11/07/2026
Show 54 more benchmarks
ProgramBenchOverall · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 0.5%GPT-6 Luna: 0.5%Vals AIAs of 11/05/2026
Public Benefits Bench v1.1Overall · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 62.4%GPT-6 Luna: 57.6%Vals AIAs of 10/12/2026
Tax Agent BenchOverall · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 25.8%GPT-6 Luna: 19.9%Vals AIAs of 11/05/2026
Vibe Code Bench v1.1Overall · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 51.5%GPT-6 Luna: 81.6%Vals AIAs of 11/05/2026
Code MigrationCLI · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 30.3%GPT-6 Luna: 37.2%Vals AIAs of 10/29/2026
EMBComps · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 61.5%GPT-6 Luna: 70.5%Vals AIAs of 10/20/2026
Finance Agent (v2)Adjustments · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 48.9%GPT-6 Luna: 49.8%Vals AIAs of 10/29/2026
Legal Research BenchAdministrative / Regulatory · All-pass · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 43.9%GPT-6 Luna: 37.9%Vals AIAs of 11/05/2026
LMArena Code Arena WebDevHTML development · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 1,526GPT-6 Luna: 1,595LMArenaAs of 10/28/2026
LMArena Text, Style ControlBusiness, management and finance · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 1,482GPT-6 Luna: 1,441LMArenaAs of 10/28/2026
LMArena Vision, Style ControlChinese · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 1,302GPT-6 Luna: 1,292LMArenaAs of 10/19/2026
ProgramBenchAlmost Resolved · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 2%GPT-6 Luna: 8%Vals AIAs of 11/05/2026
Tax Agent BenchControversy & Precedence Analysis · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 10.0%GPT-6 Luna: 6.7%Vals AIAs of 11/05/2026
Code MigrationCOBOL · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 68.6%GPT-6 Luna: 58.6%Vals AIAs of 10/29/2026
EMBDataroom · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 78.5%GPT-6 Luna: 75.5%Vals AIAs of 10/20/2026
Finance Agent (v2)All-Pass · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 38.8%GPT-6 Luna: 38.4%Vals AIAs of 10/29/2026
Legal Research BenchAdministrative / Regulatory · Weighted partial credit (weighted pass) · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 86.8%GPT-6 Luna: 83.2%Vals AIAs of 11/05/2026
LMArena Code Arena WebDevImage to WebDev · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 1,529GPT-6 Luna: 1,571LMArenaAs of 10/19/2026
LMArena Text, Style ControlChinese · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 1,510GPT-6 Luna: 1,483LMArenaAs of 10/28/2026
LMArena Vision, Style ControlCreative writing with images · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 1,266GPT-6 Luna: 1,232LMArenaAs of 10/19/2026
ProgramBenchFully Resolved · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 0.5%GPT-6 Luna: 0.5%Vals AIAs of 11/05/2026
Tax Agent BenchControversy & Precedence Analysis (weighted pass) · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 57.9%GPT-6 Luna: 54.4%Vals AIAs of 11/05/2026
Code MigrationCode Quality · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 3.997 / 5GPT-6 Luna: 3.752 / 5Vals AIAs of 10/29/2026
EMBDCF · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 38.3%GPT-6 Luna: 62.8%Vals AIAs of 10/20/2026
Finance Agent (v2)Comparables · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 41.0%GPT-6 Luna: 39.8%Vals AIAs of 10/29/2026
Legal Research BenchBusiness & Commercial · All-pass · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 34.9%GPT-6 Luna: 23.3%Vals AIAs of 11/05/2026
LMArena Code Arena WebDevReact development · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 1,512GPT-6 Luna: 1,575LMArenaAs of 10/28/2026
LMArena Text, Style ControlCoding · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 1,528GPT-6 Luna: 1,506LMArenaAs of 10/28/2026
LMArena Vision, Style ControlDiagram understanding · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 1,306GPT-6 Luna: 1,275LMArenaAs of 10/19/2026
ProgramBenchRaw Pass Rate · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 59.1%GPT-6 Luna: 66.2%Vals AIAs of 11/05/2026
Tax Agent BenchCurrent & Temporal Analysis · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 33.2%GPT-6 Luna: 16.5%Vals AIAs of 11/05/2026
EMBLBO · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 52.5%GPT-6 Luna: 59.1%Vals AIAs of 10/20/2026
Finance Agent (v2)Disclosure Analysis · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 65.8%GPT-6 Luna: 57.6%Vals AIAs of 10/29/2026
Legal Research BenchBusiness & Commercial · Weighted partial credit (weighted pass) · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 88.0%GPT-6 Luna: 79.1%Vals AIAs of 11/05/2026
LMArena Code Arena WebDevWeb development · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 1,523GPT-6 Luna: 1,579LMArenaAs of 10/28/2026
LMArena Text, Style ControlCreative writing · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 1,449GPT-6 Luna: 1,410LMArenaAs of 10/28/2026
LMArena Vision, Style ControlEnglish · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 1,283GPT-6 Luna: 1,228LMArenaAs of 10/19/2026
Tax Agent BenchCurrent & Temporal Analysis (weighted pass) · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 66.1%GPT-6 Luna: 55.3%Vals AIAs of 11/05/2026
EMBM&A · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 70.5%GPT-6 Luna: 72.1%Vals AIAs of 10/20/2026
Finance Agent (v2)Earnings Analysis · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 65.1%GPT-6 Luna: 74.2%Vals AIAs of 10/29/2026
Legal Research BenchCivil Litigation · All-pass · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 29.6%GPT-6 Luna: 25.9%Vals AIAs of 11/05/2026
LMArena Text, Style ControlEnglish · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 1,482GPT-6 Luna: 1,449LMArenaAs of 10/28/2026
LMArena Vision, Style ControlHomework · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 1,302GPT-6 Luna: 1,281LMArenaAs of 10/19/2026
Tax Agent BenchFact-Pattern Analysis · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 23.3%GPT-6 Luna: 29.5%Vals AIAs of 11/05/2026
EMBMisc · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 61.7%GPT-6 Luna: 68.6%Vals AIAs of 10/20/2026
Finance Agent (v2)Financial Modeling · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 17.6%GPT-6 Luna: 22.5%Vals AIAs of 10/29/2026
Legal Research BenchCivil Litigation · Weighted partial credit (weighted pass) · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 87.4%GPT-6 Luna: 78.6%Vals AIAs of 11/05/2026
LMArena Text, Style ControlEntertainment, sports and media · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 1,445GPT-6 Luna: 1,413LMArenaAs of 10/28/2026
LMArena Vision, Style ControlOptical character recognition · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 1,291GPT-6 Luna: 1,251LMArenaAs of 10/19/2026
Tax Agent BenchFact-Pattern Analysis (weighted pass) · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 56.7%GPT-6 Luna: 60.2%Vals AIAs of 11/05/2026
EMBOperating · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 58.1%GPT-6 Luna: 71.1%Vals AIAs of 10/20/2026
Finance Agent (v2)General Qualitative Analysis · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 71.6%GPT-6 Luna: 54.3%Vals AIAs of 10/29/2026
Legal Research BenchConstitutional / Civil Rights · All-pass · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 34.2%GPT-6 Luna: 31.6%Vals AIAs of 11/05/2026
LMArena Text, Style ControlExcluding ties · higher is betterTest setup not documented as identicalClaude Sonnet 4.6: 1,482GPT-6 Luna: 1,441LMArenaAs of 10/28/2026

More comparisons

Compare Claude Sonnet 4.6 and GPT-6 Luna with the models people compare them with most often.

Compare another matchup

The most popular comparisons

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  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. 6Claude Sonnet 4.6 vs. Gemini 3.8 Flash
  7. 7GPT-6 Astra vs. GPT-6 Luna
  8. 8GPT-6 Luna vs. GLM-5.3-Flash
  9. 9Claude Opus 5.5 vs. Claude Sonnet 4.6
Show all 65 comparisons
  1. 10GPT-6.1 Sol vs. GPT-6 Luna
  2. 11GPT-6 Luna vs. DeepSeek-V4-Pro
  3. 12Claude Sonnet 5 vs. GPT-6 Luna
  4. 13GPT-6 Luna vs. Gemini 3.5 Flash-Lite
  5. 14Claude Haiku 4.5 vs. GPT-6 Luna
  6. 15GPT-6 Luna vs. GPT-5.4
  7. 16GPT-6 Luna vs. Gemini 3.1 Pro Preview
  8. 17Claude Sonnet 4.6 vs. DeepSeek-V4.1-Flash
  9. 18Claude Sonnet 5.5 vs. GPT-6 Luna
  10. 19GPT-6 Luna vs. DeepSeek V4.1 Flash 1017
  11. 20Claude Sonnet 4.6 vs. GLM-5.3-Flash
  12. 21Claude Opus 4.8 vs. GPT-6 Luna
  13. 22Claude Sonnet 5.5 vs. Claude Sonnet 4.6
  14. 23GPT-6 Luna vs. GPT-5.6 Sol
  15. 24GPT-6 Luna vs. Grok 4.7
  16. 25GPT-6 Luna vs. Gemini 3.6 Flash
  17. 26GPT-6 Sol vs. GPT-6 Luna
  18. 27Claude Opus 4.6 vs. GPT-6 Luna
  19. 28Claude Sonnet 4.5 vs. GPT-6 Luna
  20. 29GPT-6 Luna vs. Muse Spark 1.3
  21. 30GPT-6 Luna vs. DeepSeek-V4-Flash
  22. 31Claude Sonnet 4.6 vs. Qwen 3.8 27B
  23. 32Claude Sonnet 4.6 vs. GPT-6.1 Sol
  24. 33Claude Opus 5.5 vs. GPT-6 Luna
  25. 34Claude Sonnet 4.6 vs. GPT-6 Sol
  26. 35GPT-6 Luna vs. Qwen 3.8 27B
  27. 36GPT-6 Luna vs. Qwen 3.8 Max 0902
  28. 37Claude Haiku 5.5 vs. Claude Sonnet 4.6
  29. 38GPT-6 Luna vs. GLM-5.2
  30. 39Claude Sonnet 4.6 vs. Grok 4.7
  31. 40Claude Sonnet 4.6 vs. GPT-6 Astra
  32. 41GPT-6 Luna vs. GPT-5.5
  33. 42GPT-6 Luna vs. Gemini 3.7 Flash
  34. 43Claude Sonnet 4.6 vs. DeepSeek V4.1 Flash 1017
  35. 44Claude Fable 5.1 vs. GPT-6 Luna
  36. 45GPT-6 Luna vs. GLM-5.3
  37. 46GPT-6 Luna vs. Grok 4.6
  38. 47Claude Sonnet 4.6 vs. GLM-5.3
  39. 48Claude Opus 4.5 vs. GPT-6 Luna
  40. 49Claude Sonnet 4.6 vs. GPT-5.6 Terra
  41. 50GPT-6 Luna vs. MiMo-V2.5
  42. 51Claude Fable 5 vs. GPT-6 Luna
  43. 52GPT-6 Luna vs. Mistral Large 4
  44. 53GPT-6 Luna vs. Gemini 3.5 Flash
  45. 54GPT-6.1 Terra vs. GPT-6 Luna
  46. 55Claude Opus 4.6 vs. Claude Sonnet 4.6
  47. 56GPT-6 Luna vs. Mistral Medium 3.5
  48. 57GPT-6 Luna vs. Grok 4.5
  49. 58Claude Opus 4.7 vs. Claude Sonnet 4.6
  50. 59Claude Opus 4.7 vs. GPT-6 Luna
  51. 60Claude Sonnet 4.6 vs. Claude Haiku 4.5
  52. 61Claude Opus 4.5 vs. Claude Sonnet 4.6
  53. 62GPT-6 Luna vs. Gemini 4 Argon
  54. 63Claude Sonnet 4.6 vs. Gemini 4 Argon
  55. 64Claude Sonnet 4.6 vs. Gemini 4 Carbon
  56. 65Claude Sonnet 4.6 vs. GPT-6.1 Terra