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OpenAIGoogleLLM matchup

GPT-6 Lunavs.Gemini 3.8 Flash

Which one is better?

Gemini 3.8 Flash performs better than GPT-6 Luna, but costs 7.5 times as much.

Gemini 3.8 Flash ahead
IntelligenceOverall index, 100 points = average
96.3

GPT-6 Luna

Rank 35

106.5

Gemini 3.8 Flash

Rank 18

about as fast
SpeedTokens per second
101

GPT-6 Luna

115

Gemini 3.8 Flash

GPT-6 Luna cheaper
Price$ per 1M tokens
$0.20

GPT-6 Luna

$1.50

Gemini 3.8 Flash

about as popular
Popularity0 to 100
60

GPT-6 Luna

Rank 30 of 785

61

Gemini 3.8 Flash

Rank 25 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

CybersecurityMathematics (not certain)

Choose Gemini 3.8 Flash for

KnowledgeMultimodalReasoningProductivityEducationFinanceGeneralLegalHealthAgents

Where is the difference?

Strengths at a glance

GPT-6 LunaGemini 3.8 FlashMedian of all ranked models

9010011012080CodinglevelReasoningGemini 3.8FlashMathematicsslightlyGPT-6 LunaKnowledgeGemini 3.8FlashAgentsGemini 3.8FlashGeneralGemini 3.8FlashMultimodalGemini 3.8FlashFinanceGemini 3.8FlashLegalGemini 3.8FlashHealthGemini 3.8Flash
Codinglevel
GPT-6 Luna97.5Rank 35
Gemini 3.8 Flash99.9Rank 27
Median of ranked models84.1

95 % range: GPT-6 Luna 94.5 to 100.5, Gemini 3.8 Flash 97.4 to 102.3.

AreaGPT-6 LunaGemini 3.8 Flash

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.

Gemini 3.8 Flash is ahead in 8 of 10 areas, GPT-6 Luna in none.

GPT-6 Luna slightly ahead: 1level: 1Gemini 3.8 Flash ahead: 8

Areas in the overall index
KnowledgeGemini 3.8 Flash +2289.2 to 111.6
MultimodalGemini 3.8 Flash +1792.0 to 109.4
ReasoningGemini 3.8 Flash +1597.8 to 113.0
GeneralGemini 3.8 Flash +1194.4 to 105.8
AgentsGemini 3.8 Flash +499.5 to 103.2
Mathematicsleaning GPT-6 Lunanot certain · 4 tests each
Codinglevel97.5 to 99.9
Specialist fields
FinanceGemini 3.8 Flash +1398.3 to 111.3
LegalGemini 3.8 Flash +1190.7 to 102.1
HealthGemini 3.8 Flash +895.2 to 102.8

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
ProductivityGemini 3.8 Flash +1490.5 to 104.3
EducationGemini 3.8 Flash +1393.0 to 106.4
CybersecurityGPT-6 Luna +5101.8 to 97.1
Searchonly 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.

GPT-6 Luna vs. Gemini 3.8 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.

lowGemini 3.8 Flash ahead
GPT-6 Luna 65.2 vs. Gemini 3.8 Flash 99.7 · Gap 20.4 · Test series 3
mediumGemini 3.8 Flash ahead
GPT-6 Luna 82.4 vs. Gemini 3.8 Flash 105.6 · Gap 19.4 · Test series 12
highGemini 3.8 Flash ahead
GPT-6 Luna 87.1 vs. Gemini 3.8 Flash 106.5 · Gap 15.7 · Test series 12
Overall index (max vs. high)Gemini 3.8 Flash ahead
GPT-6 Luna 96.3 vs. Gemini 3.8 Flash 106.5

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 codelevelCoding 97.5 to 99.9
Maths and data analysisdepends on the partMathematics 105.5 to 100.4, Reasoning 97.8 to 113.0
Facts and researchGemini 3.8 FlashKnowledge 89.2 to 111.6, Search without a score for Gemini 3.8 Flash
Agents and workflowsGemini 3.8 FlashAgents 99.5 to 103.2
Fast chat repliesabout the same101 to 115 tokens per second
Security analysisGPT-6 LunaCybersecurity 101.8 to 97.1
Many requests on a small budgetGPT-6 Luna$0.20 to $1.50 per 1M tokens
Finance, legal and medical textsGemini 3.8 FlashFinance 98.3 to 111.3, Legal 90.7 to 102.1, Health 95.2 to 102.8
Images, screenshots and PDFsGemini 3.8 FlashMultimodal 92.0 to 109.4

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

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.

Gemini 3.8 Flash

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

Oct 5, 2026 · 40 s · $0.03

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
google/gemini-3.8-flash
Reasoning setting
high
Token limit including reasoning
8,192 tokens
Output tokens
8,188 tokens
Cost of the attempt
$0.0307
Response time
40.2 s
API model reported in response
google/gemini-3.8-flash
Pinned endpoint
Google AI Studio | google/gemini-3.8-flash-20260902
Temperature
Provider default
Test protocol
community-visual-tests-v1
Technical checks
Failed

Earlier attempts (3)

  • Oct 2, 2026API request failedReasoning setting: high
  • Oct 1, 2026API request failedReasoning setting: high
  • Sep 7, 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

Gemini 3.8 Flash

Unavailable in this round

GPT-6 Luna and Gemini 3.8 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.

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-6.1 Terramax105.3
GPT-6 Lunamax96.3

Popularity compared

How often the models are searched for, used and mentioned, on a scale from 0 to 100.

Both are about as popular: GPT-6 Luna 60, Gemini 3.8 Flash 61 out of 100.

Over time

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

GPT-6 LunaGemini 3.8 Flash

All data side by side

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

MetricGPT-6 LunaGemini 3.8 Flash
Intelligence
Overall indexpoints, 100 = reference group average, higher is better96.3106.5
RankRank 35 of 92Rank 18 of 92
Price per 1M tokens
Inputwhat you send$0.10above 272,000 tokens: $0.20$0.75
Outputwhat the model writes$0.50above 272,000 tokens: $0.75$3.75
Cost per task (own tests)average of 2 original-protocol tasks both models passed (SVG short test not included)$0.004$0.044
Speed
Tokens per second101115
Popularity
Popularitysearch, usage and mentions, 0 to 10060Rank 30 of 78561Rank 25 of 785
Technical
Context windowhow much text the model reads at once1.05 M tokens≈ 1,580 A4 pages1.05 M tokens≈ 1,570 A4 pages
Knowledge cutoffMay 18, 2026March 2026
ReleasedSep 22, 2026Sep 2, 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?

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

Gemini 3.8 Flash 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

Gemini 3.8 Flash 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: GPT-6 LunaB: Gemini 3.8 Flash

AA-BriefcaseOverall · higher is betterGPT-6 Luna: 1,186.6 eloGemini 3.8 Flash: 1,203.0 eloArtificial AnalysisAs of 11/07/2026
AA-OmniscienceOverall · higher is betterGPT-6 Luna: -12.8 pointsGemini 3.8 Flash: 23.3 pointsArtificial AnalysisAs of 11/07/2026
AA-Omniscience AccuracyOverall · higher is betterGPT-6 Luna: 39.0%Gemini 3.8 Flash: 50.5%Artificial AnalysisAs of 11/07/2026
AA-Omniscience Hallucination RateOverall · lower is betterGPT-6 Luna: 84.9%Gemini 3.8 Flash: 55.1%Artificial AnalysisAs of 11/07/2026
AutomationBench-AAOverall · higher is betterGPT-6 Luna: 47.8%Gemini 3.8 Flash: 59.9%Artificial AnalysisAs of 11/07/2026
BioMysteryBenchOverall · higher is betterTest setup not documented as identicalGPT-6 Luna: 61.5%Gemini 3.8 Flash: 62.2%Vals AIAs of 11/05/2026
Code MigrationOverall · higher is betterTest setup not documented as identicalGPT-6 Luna: 42.6%Gemini 3.8 Flash: 36.5%Vals AIAs of 10/29/2026
Code Migration v1.1Overall · higher is betterTest setup not documented as identicalGPT-6 Luna: 46.7%Gemini 3.8 Flash: 38.6%Vals AIAs of 10/30/2026
CritPt v2 (Hard Subset)Overall · higher is betterGPT-6 Luna: 31.0%Gemini 3.8 Flash: 46.5%Artificial AnalysisAs of 11/07/2026
CyberBench v1.1Overall · higher is betterTest setup not documented as identicalGPT-6 Luna: 76.3%Gemini 3.8 Flash: 43.8%Vals AIAs of 11/05/2026
Show 54 more benchmarks
EMBOverall · higher is betterTest setup not documented as identicalGPT-6 Luna: 68.5%Gemini 3.8 Flash: 72.2%Vals AIAs of 10/20/2026
EMB v1.1Overall · higher is betterTest setup not documented as identicalGPT-6 Luna: 70.0%Gemini 3.8 Flash: 72.9%Vals AIAs of 11/05/2026
Finance Agent (v2)Overall · higher is betterTest setup not documented as identicalGPT-6 Luna: 49.9%Gemini 3.8 Flash: 61.4%Vals AIAs of 10/29/2026
Finance Agent v2.1Overall · higher is betterTest setup not documented as identicalGPT-6 Luna: 56.8%Gemini 3.8 Flash: 65.8%Vals AIAs of 11/05/2026
FrontierCodeOverall · higher is betterGPT-6 Luna: 18.6%Gemini 3.8 Flash: 18.7%Artificial AnalysisAs of 11/07/2026
FrontierCode 1.1 MainOverall · higher is betterGPT-6 Luna: 32.0%Gemini 3.8 Flash: 36.4%Artificial AnalysisAs of 11/07/2026
GDP.pdfOverall · higher is betterGPT-6 Luna: 18.2%Gemini 3.8 Flash: 21.0%Artificial AnalysisAs of 11/07/2026
GDPval-AAOverall · higher is betterGPT-6 Luna: 1,352.1 eloGemini 3.8 Flash: 1,445.4 eloArtificial AnalysisAs of 11/07/2026
HLAB-Vals-1.1Overall · Task fully resolved · higher is betterTest setup not documented as identicalGPT-6 Luna: 4.2%Gemini 3.8 Flash: 12.1%Vals AIAs of 11/05/2026
HLE-DiamondOverall · higher is betterGPT-6 Luna: 15.6%Gemini 3.8 Flash: 33.1%Artificial AnalysisAs of 11/07/2026
ImmigrationOverall · higher is betterTest setup not documented as identicalGPT-6 Luna: 62.5%Gemini 3.8 Flash: 63.4%Vals AIAs of 10/28/2026
IOIOverall · higher is betterTest setup not documented as identicalGPT-6 Luna: 55.6%Gemini 3.8 Flash: 56.9%Vals AIAs of 10/29/2026
Legal Research BenchOverall · All-pass · higher is betterTest setup not documented as identicalGPT-6 Luna: 30.3%Gemini 3.8 Flash: 38.9%Vals AIAs of 11/05/2026
LMArena Code Arena WebDevOverall · higher is betterTest setup not documented as identicalGPT-6 Luna: 1,579Gemini 3.8 Flash: 1,583LMArenaAs of 10/28/2026
LMArena Text, Style ControlOverall · higher is betterTest setup not documented as identicalGPT-6 Luna: 1,441Gemini 3.8 Flash: 1,496LMArenaAs of 10/28/2026
LMArena Vision, Style ControlOverall · higher is betterTest setup not documented as identicalGPT-6 Luna: 1,240Gemini 3.8 Flash: 1,291LMArenaAs of 10/19/2026
MedCodeOverall · higher is betterTest setup not documented as identicalGPT-6 Luna: 44.7%Gemini 3.8 Flash: 48.1%Vals AIAs of 10/29/2026
MedScribeOverall · higher is betterTest setup not documented as identicalGPT-6 Luna: 83.7%Gemini 3.8 Flash: 84.5%Vals AIAs of 10/29/2026
MMMU-ProOverall · higher is betterGPT-6 Luna: 77.5%Gemini 3.8 Flash: 85.6%Artificial AnalysisAs of 11/07/2026
MysteryMechanismOverall · higher is betterTest setup not documented as identicalGPT-6 Luna: 19.4%Gemini 3.8 Flash: 36.5%Vals AIAs of 10/29/2026
ProgramBenchOverall · higher is betterTest setup not documented as identicalGPT-6 Luna: 0.5%Gemini 3.8 Flash: 1.0%Vals AIAs of 11/05/2026
ProofBench v1.1Overall · higher is betterTest setup not documented as identicalGPT-6 Luna: 64%Gemini 3.8 Flash: 48%Vals AIAs of 10/29/2026
Public Benefits Bench v1.1Overall · higher is betterTest setup not documented as identicalGPT-6 Luna: 57.6%Gemini 3.8 Flash: 65.3%Vals AIAs of 10/12/2026
SAGEOverall · higher is betterTest setup not documented as identicalGPT-6 Luna: 83.4%Gemini 3.8 Flash: 88.2%Vals AIAs of 11/05/2026
SRE BenchOverall · higher is betterTest setup not documented as identicalGPT-6 Luna: 2.7%Gemini 3.8 Flash: 11.1%Vals AIAs of 11/05/2026
SWE-bench MultimodalOverall · higher is betterTest setup not documented as identicalGPT-6 Luna: 37.5%Gemini 3.8 Flash: 40.8%Vals AIAs of 11/05/2026
Tax Agent BenchOverall · higher is betterTest setup not documented as identicalGPT-6 Luna: 19.9%Gemini 3.8 Flash: 32.1%Vals AIAs of 11/05/2026
Terminal-BenchOverall · higher is betterGPT-6 Luna: 4.5%Gemini 3.8 Flash: 19.7%Artificial AnalysisAs of 11/07/2026
Terminal-Bench 4.0Overall · higher is betterTest setup not documented as identicalGPT-6 Luna: 13.6%Gemini 3.8 Flash: 19.7%Vals AIAs of 11/05/2026
Terminal-Bench-ScienceOverall · higher is betterTest setup not documented as identicalGPT-6 Luna: 4.3%Gemini 3.8 Flash: 8.6%Vals AIAs of 11/05/2026
Terminal-Bench-ScienceOverall · higher is betterGPT-6 Luna: 2.9%Gemini 3.8 Flash: 10.0%Artificial AnalysisAs of 11/07/2026
Vals Finance IndexOverall · higher is betterTest setup not documented as identicalGPT-6 Luna: 53.1%Gemini 3.8 Flash: 60.5%Vals AIAs of 11/05/2026
Vals IndexOverall · higher is betterTest setup not documented as identicalGPT-6 Luna: 52.3%Gemini 3.8 Flash: 56.0%Vals AIAs of 11/05/2026
Vals Legal IndexOverall · higher is betterTest setup not documented as identicalGPT-6 Luna: 62.2%Gemini 3.8 Flash: 69.8%Vals AIAs of 11/05/2026
Vals Router IndexFull Index · higher is betterGPT-6 Luna: 52.3%Gemini 3.8 Flash: 56.0%Vals AIAs of 11/03/2026
Vals Science IndexOverall · higher is betterTest setup not documented as identicalGPT-6 Luna: 28.4%Gemini 3.8 Flash: 35.8%Vals AIAs of 10/25/2026
Vibe Code Bench v1.1Overall · higher is betterTest setup not documented as identicalGPT-6 Luna: 81.6%Gemini 3.8 Flash: 78.7%Vals AIAs of 11/05/2026
BioMysteryBenchHard · higher is betterTest setup not documented as identicalGPT-6 Luna: 17.6%Gemini 3.8 Flash: 21.6%Vals AIAs of 11/05/2026
Code MigrationCLI · higher is betterTest setup not documented as identicalGPT-6 Luna: 37.2%Gemini 3.8 Flash: 25.9%Vals AIAs of 10/29/2026
Code Migration v1.1CLI · higher is betterTest setup not documented as identicalGPT-6 Luna: 44.3%Gemini 3.8 Flash: 27.6%Vals AIAs of 10/30/2026
CyberBench v1.1Patch · higher is betterTest setup not documented as identicalGPT-6 Luna: 87.5%Gemini 3.8 Flash: 87.5%Vals AIAs of 11/05/2026
EMBComps · higher is betterTest setup not documented as identicalGPT-6 Luna: 70.5%Gemini 3.8 Flash: 76.4%Vals AIAs of 10/20/2026
EMB v1.1Comps · higher is betterTest setup not documented as identicalGPT-6 Luna: 69.7%Gemini 3.8 Flash: 76.0%Vals AIAs of 11/05/2026
Finance Agent (v2)Adjustments · higher is betterTest setup not documented as identicalGPT-6 Luna: 49.8%Gemini 3.8 Flash: 54.8%Vals AIAs of 10/29/2026
Finance Agent v2.1Adjustments · higher is betterTest setup not documented as identicalGPT-6 Luna: 56.3%Gemini 3.8 Flash: 61.9%Vals AIAs of 11/05/2026
HLAB-Vals-1.1Antitrust Competition · Criteria passed · higher is betterTest setup not documented as identicalGPT-6 Luna: 84.2%Gemini 3.8 Flash: 92.9%Vals AIAs of 11/05/2026
ImmigrationAll-Pass · higher is betterTest setup not documented as identicalGPT-6 Luna: 16.4%Gemini 3.8 Flash: 16.4%Vals AIAs of 10/28/2026
IOIIOI 2024 · higher is betterTest setup not documented as identicalGPT-6 Luna: 69.3%Gemini 3.8 Flash: 55.7%Vals AIAs of 10/29/2026
Legal Research BenchAdministrative / Regulatory · All-pass · higher is betterTest setup not documented as identicalGPT-6 Luna: 37.9%Gemini 3.8 Flash: 47.0%Vals AIAs of 11/05/2026
LMArena Code Arena WebDevHTML development · higher is betterTest setup not documented as identicalGPT-6 Luna: 1,595Gemini 3.8 Flash: 1,612LMArenaAs of 10/28/2026
LMArena Text, Style ControlBusiness, management and finance · higher is betterTest setup not documented as identicalGPT-6 Luna: 1,441Gemini 3.8 Flash: 1,482LMArenaAs of 10/28/2026
LMArena Vision, Style ControlChinese · higher is betterTest setup not documented as identicalGPT-6 Luna: 1,292Gemini 3.8 Flash: 1,384LMArenaAs of 10/19/2026
ProgramBenchAlmost Resolved · higher is betterTest setup not documented as identicalGPT-6 Luna: 8%Gemini 3.8 Flash: 14%Vals AIAs of 11/05/2026
SAGEComputer Science · higher is betterTest setup not documented as identicalGPT-6 Luna: 86.6%Gemini 3.8 Flash: 89.6%Vals AIAs of 11/05/2026

More comparisons

Compare GPT-6 Luna and Gemini 3.8 Flash 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. 3Claude Opus 4.6 vs. Gemini 3.8 Flash
  4. 4Claude Sonnet 5.5 vs. Gemini 3.8 Flash
  5. 5Gemini 3.8 Flash vs. DeepSeek-V4.1-Flash
  6. 6Claude Opus 5.5 vs. Gemini 3.8 Flash
  7. 7GPT-6 Luna vs. DeepSeek-V4.1-Flash
  8. 8GPT-6 Luna vs. GPT-5.4 mini
  9. 9Gemini 3.8 Flash vs. Gemini 3.1 Pro Preview
Show all 79 comparisons
  1. 10Claude Sonnet 4.6 vs. Gemini 3.8 Flash
  2. 11GPT-6 Astra vs. GPT-6 Luna
  3. 12Gemini 3.8 Flash vs. Gemini 3.5 Flash-Lite
  4. 13GPT-6 Sol vs. Gemini 3.8 Flash
  5. 14GPT-6 Luna vs. GLM-5.3-Flash
  6. 15GPT-5.6 Sol vs. Gemini 3.8 Flash
  7. 16Gemini 3.8 Flash vs. Grok 4.7
  8. 17Claude Haiku 5.5 vs. Gemini 3.8 Flash
  9. 18Gemini 3.8 Flash vs. GLM-5.3-Flash
  10. 19GPT-6.1 Sol vs. Gemini 3.8 Flash
  11. 20GPT-6.1 Sol vs. GPT-6 Luna
  12. 21GPT-6 Luna vs. DeepSeek-V4-Pro
  13. 22Claude Sonnet 5 vs. GPT-6 Luna
  14. 23GPT-6 Luna vs. Gemini 3.5 Flash-Lite
  15. 24Claude Haiku 4.5 vs. GPT-6 Luna
  16. 25Claude Sonnet 4.6 vs. GPT-6 Luna
  17. 26GPT-6 Luna vs. GPT-5.4
  18. 27Gemini 3.8 Flash vs. DeepSeek-V4-Pro
  19. 28GPT-6 Luna vs. Gemini 3.1 Pro Preview
  20. 29Gemini 3.8 Flash vs. DeepSeek V4.1 Flash 1017
  21. 30Claude Sonnet 5.5 vs. GPT-6 Luna
  22. 31GPT-6 Luna vs. DeepSeek V4.1 Flash 1017
  23. 32Claude Opus 5 vs. Gemini 3.8 Flash
  24. 33GPT-5.6 Luna vs. Gemini 3.8 Flash
  25. 34Gemini 3.8 Flash vs. DeepSeek-V4-Flash
  26. 35Claude Opus 4.8 vs. GPT-6 Luna
  27. 36Claude Sonnet 4.5 vs. Gemini 3.8 Flash
  28. 37GPT-6 Luna vs. GPT-5.6 Sol
  29. 38GPT-6 Luna vs. Grok 4.7
  30. 39Gemini 3.8 Flash vs. Qwen 3.8 27B
  31. 40GPT-6 Luna vs. Gemini 3.6 Flash
  32. 41GPT-6 Sol vs. GPT-6 Luna
  33. 42Claude Opus 4.6 vs. GPT-6 Luna
  34. 43Claude Sonnet 4.5 vs. GPT-6 Luna
  35. 44GPT-6 Luna vs. Muse Spark 1.3
  36. 45GPT-6 Luna vs. DeepSeek-V4-Flash
  37. 46Claude Opus 5.5 vs. GPT-6 Luna
  38. 47Gemini 3.8 Flash vs. Muse Spark 1.3
  39. 48GPT-6 Astra vs. Gemini 3.8 Flash
  40. 49Gemini 3.8 Flash vs. Gemini 3.6 Flash
  41. 50GPT-6 Luna vs. Qwen 3.8 27B
  42. 51Gemini 3.8 Flash vs. Grok 4.6
  43. 52GPT-6 Luna vs. Qwen 3.8 Max 0902
  44. 53GPT-5.4 mini vs. Gemini 3.8 Flash
  45. 54Gemini 3.8 Flash vs. GLM-5.3
  46. 55GPT-6 Luna vs. GLM-5.2
  47. 56GPT-6 Luna vs. GPT-5.5
  48. 57GPT-6 Luna vs. Gemini 3.7 Flash
  49. 58Claude Fable 5.1 vs. GPT-6 Luna
  50. 59GPT-6 Luna vs. GLM-5.3
  51. 60Gemini 3.8 Flash vs. GLM-5.2
  52. 61GPT-6 Luna vs. Grok 4.6
  53. 62Claude Opus 4.5 vs. GPT-6 Luna
  54. 63Gemini 3.8 Flash vs. Mistral Large 4
  55. 64Claude Fable 5 vs. Gemini 3.8 Flash
  56. 65GPT-6.1 Terra vs. Gemini 3.8 Flash
  57. 66GPT-6 Luna vs. MiMo-V2.5
  58. 67Claude Fable 5 vs. GPT-6 Luna
  59. 68GPT-6 Luna vs. Mistral Large 4
  60. 69Claude Haiku 4.5 vs. Gemini 3.8 Flash
  61. 70GPT-5.5 vs. Gemini 3.8 Flash
  62. 71GPT-6 Luna vs. Gemini 3.5 Flash
  63. 72GPT-6.1 Terra vs. GPT-6 Luna
  64. 73Gemini 3.8 Flash vs. Gemini 3.5 Flash
  65. 74GPT-6 Luna vs. Mistral Medium 3.5
  66. 75Gemini 3.8 Flash vs. MiMo-V2.5-Pro
  67. 76GPT-6 Luna vs. Grok 4.5
  68. 77Claude Opus 4.7 vs. GPT-6 Luna
  69. 78GPT-6 Luna vs. Gemini 4 Argon
  70. 79Gemini 3.8 Flash vs. Kimi K3.1 Pro