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OpenAIMistral AILLM matchup

GPT-6 Lunavs.Mistral Medium 3.5

Which one is better?

GPT-6 Luna performs better than Mistral Medium 3.5 and is cheaper: Mistral Medium 3.5 costs 15 times as much.

GPT-6 Luna ahead
IntelligenceOverall index, 100 points = average
96.3

GPT-6 Luna

Rank 35

46.8

Mistral Medium 3.5

Rank 88

Mistral Medium 3.5 faster
SpeedTokens per second
101

GPT-6 Luna

144

Mistral Medium 3.5

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

GPT-6 Luna

$3

Mistral Medium 3.5

GPT-6 Luna more popular
Popularity0 to 100
60

GPT-6 Luna

Rank 30 of 785

37

Mistral Medium 3.5

Rank 344 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

ReasoningFinanceKnowledgeMathematicsCodingEducationAgentsHealthMultimodalLegalGeneral

Choose Mistral Medium 3.5 for

No clear advantage

Where is the difference?

Strengths at a glance

GPT-6 LunaMistral Medium 3.5Median of all ranked models

507510012525CodingGPT-6 LunaReasoningGPT-6 LunaMathematicsGPT-6 LunaKnowledgeGPT-6 LunaAgentsGPT-6 LunaGeneralGPT-6 LunaMultimodalGPT-6 LunaFinanceGPT-6 LunaLegalGPT-6 LunaHealthGPT-6 Luna
CodingGPT-6 Luna ahead
GPT-6 Luna97.5Rank 35
Mistral Medium 3.551.2Rank 92
Median of ranked models84.1

95 % range: GPT-6 Luna 94.5 to 100.5, Mistral Medium 3.5 44.5 to 58.0.

AreaGPT-6 LunaMistral Medium 3.5

The same values and verdicts as the bars below. In the close-up the net starts at 25 points, just below the weaker model's lowest value; the reference group average is 100.

GPT-6 Luna is ahead in 10 of 10 areas, Mistral Medium 3.5 in none.

GPT-6 Luna ahead: 10

Areas in the overall index
ReasoningGPT-6 Luna +6397.8 to 34.6
KnowledgeGPT-6 Luna +4989.2 to 40.4
MathematicsGPT-6 Luna +48105.5 to 57.0
CodingGPT-6 Luna +4697.5 to 51.2
AgentsGPT-6 Luna +4599.5 to 54.0
MultimodalGPT-6 Luna +4292.0 to 49.7
GeneralGPT-6 Luna +3794.4 to 57.0
Specialist fields
FinanceGPT-6 Luna +6098.3 to 38.7
HealthGPT-6 Luna +4595.2 to 50.1
LegalGPT-6 Luna +3990.7 to 51.9

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
EducationGPT-6 Luna +4693.0 to 46.8
Cybersecurityonly GPT-6 Luna has a score
Searchonly GPT-6 Luna has a score
Productivityonly 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. Mistral Medium 3.5 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.

highGPT-6 Luna ahead
GPT-6 Luna 87.1 vs. Mistral Medium 3.5 46.8 · Gap 41.9 · Test series 11
Overall index (max vs. high)GPT-6 Luna ahead
GPT-6 Luna 96.3 vs. Mistral Medium 3.5 46.8

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 97.5 to 51.2
Maths and data analysisGPT-6 LunaMathematics 105.5 to 57.0, Reasoning 97.8 to 34.6
Facts and researchGPT-6 LunaKnowledge 89.2 to 40.4, Search without a score for Mistral Medium 3.5
Agents and workflowsGPT-6 LunaAgents 99.5 to 54.0
Fast chat repliesMistral Medium 3.5101 to 144 tokens per second
Security analysisopenCybersecurity without a score for Mistral Medium 3.5
Many requests on a small budgetGPT-6 Luna$0.20 to $3 per 1M tokens
Finance, legal and medical textsGPT-6 LunaFinance 98.3 to 38.7, Legal 90.7 to 51.9, Health 95.2 to 50.1
Images, screenshots and PDFsGPT-6 LunaMultimodal 92.0 to 49.7

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.

Mistral Medium 3.5

Mistral Medium 3.5: Pelican on a bicycle
A community classic for free-form SVG drawing.

Oct 1, 2026 · 39 s · $0.06

Test details
Run date
Oct 1, 2026
API provider
openrouter
Requested API model
mistralai/mistral-medium-3-5
Reasoning setting
high
Token limit including reasoning
8,192 tokens
Output tokens
8,128 tokens
Cost of the attempt
$0.0610
Response time
38.7 s
API model reported in response
mistralai/mistral-medium-3-5
Pinned endpoint
Mistral | mistralai/mistral-medium-3.5-20260430
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.

Earlier attempts (1)

  • 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

Mistral Medium 3.5

Mistral Medium 3.5: SVG short test

Oct 14, 2026 · $0.0039

Test details
Test run
Oct 14, 2026
Provider
mistral
API model
mistralai/mistral-medium-3-5
Output
502 tokens
Reasoning
API reports 0 reasoning tokens
Cost of the attempt
$0.0039
Test round
43b8c5c46830

GPT-6 Luna and Mistral Medium 3.5 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

5 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
Mistral Medium 3.5high46.8

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 Mistral Medium 3.5: 60 to 37 out of 100.

Over time

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

GPT-6 LunaMistral Medium 3.5

All data side by side

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

MetricGPT-6 LunaMistral Medium 3.5
Intelligence
Overall indexpoints, 100 = reference group average, higher is better96.346.8
RankRank 35 of 92Rank 88 of 92
Price per 1M tokens
Inputwhat you send$0.10above 272,000 tokens: $0.20$1.50
Outputwhat the model writes$0.50above 272,000 tokens: $0.75$7.50
Cost per task (own tests)average of 3 original-protocol tasks both models passed (SVG short test not included)$0.003$0.087
Speed
Tokens per second101144
Popularity
Popularitysearch, usage and mentions, 0 to 10060Rank 30 of 78537Rank 344 of 785
Technical
Context windowhow much text the model reads at once1.05 M tokens≈ 1,580 A4 pages262,144 tokens≈ 390 A4 pages
Knowledge cutoffMay 18, 2026n/a
ReleasedSep 22, 2026Apr 28, 2026
AvailabilityActiveActive
Open weightsnoyes

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

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: GPT-6 LunaB: Mistral Medium 3.5

Code MigrationOverall · higher is betterTest setup not documented as identicalGPT-6 Luna: 42.6%Mistral Medium 3.5: 5.1%Vals AIAs of 10/29/2026
EMBOverall · higher is betterTest setup not documented as identicalGPT-6 Luna: 68.5%Mistral Medium 3.5: 11.2%Vals AIAs of 10/20/2026
Finance Agent (v2)Overall · higher is betterTest setup not documented as identicalGPT-6 Luna: 49.9%Mistral Medium 3.5: 32.1%Vals AIAs of 10/29/2026
Legal Research BenchOverall · All-pass · higher is betterTest setup not documented as identicalGPT-6 Luna: 30.3%Mistral Medium 3.5: 9.1%Vals AIAs of 11/05/2026
LMArena Code Arena WebDevOverall · higher is betterTest setup not documented as identicalGPT-6 Luna: 1,579Mistral Medium 3.5: 1,264LMArenaAs of 10/28/2026
LMArena Text, Style ControlOverall · higher is betterTest setup not documented as identicalGPT-6 Luna: 1,441Mistral Medium 3.5: 1,426LMArenaAs of 10/28/2026
LMArena Vision, Style ControlOverall · higher is betterTest setup not documented as identicalGPT-6 Luna: 1,240Mistral Medium 3.5: 1,200LMArenaAs of 10/19/2026
MedCodeOverall · higher is betterTest setup not documented as identicalGPT-6 Luna: 44.7%Mistral Medium 3.5: 33.8%Vals AIAs of 10/29/2026
MedScribeOverall · higher is betterTest setup not documented as identicalGPT-6 Luna: 83.7%Mistral Medium 3.5: 67.7%Vals AIAs of 10/29/2026
ProofBench v1.1Overall · higher is betterTest setup not documented as identicalGPT-6 Luna: 64%Mistral Medium 3.5: 9%Vals AIAs of 10/29/2026
Show 54 more benchmarks
SAGEOverall · higher is betterTest setup not documented as identicalGPT-6 Luna: 83.4%Mistral Medium 3.5: 72.0%Vals AIAs of 11/05/2026
Tax Agent BenchOverall · higher is betterTest setup not documented as identicalGPT-6 Luna: 19.9%Mistral Medium 3.5: 4.5%Vals AIAs of 11/05/2026
Vibe Code Bench v1.1Overall · higher is betterTest setup not documented as identicalGPT-6 Luna: 81.6%Mistral Medium 3.5: 2.9%Vals AIAs of 11/05/2026
Code MigrationCLI · higher is betterTest setup not documented as identicalGPT-6 Luna: 37.2%Mistral Medium 3.5: 5.0%Vals AIAs of 10/29/2026
EMBComps · higher is betterTest setup not documented as identicalGPT-6 Luna: 70.5%Mistral Medium 3.5: 18.1%Vals AIAs of 10/20/2026
Finance Agent (v2)Adjustments · higher is betterTest setup not documented as identicalGPT-6 Luna: 49.8%Mistral Medium 3.5: 27.3%Vals AIAs of 10/29/2026
Legal Research BenchAdministrative / Regulatory · All-pass · higher is betterTest setup not documented as identicalGPT-6 Luna: 37.9%Mistral Medium 3.5: 7.6%Vals AIAs of 11/05/2026
LMArena Code Arena WebDevHTML development · higher is betterTest setup not documented as identicalGPT-6 Luna: 1,595Mistral Medium 3.5: 1,308LMArenaAs of 10/28/2026
LMArena Text, Style ControlBusiness, management and finance · higher is betterTest setup not documented as identicalGPT-6 Luna: 1,441Mistral Medium 3.5: 1,431LMArenaAs of 10/28/2026
LMArena Vision, Style ControlChinese · higher is betterTest setup not documented as identicalGPT-6 Luna: 1,292Mistral Medium 3.5: 1,217LMArenaAs of 10/19/2026
SAGEComputer Science · higher is betterTest setup not documented as identicalGPT-6 Luna: 86.6%Mistral Medium 3.5: 72.6%Vals AIAs of 11/05/2026
Tax Agent BenchControversy & Precedence Analysis · higher is betterTest setup not documented as identicalGPT-6 Luna: 6.7%Mistral Medium 3.5: 3.3%Vals AIAs of 11/05/2026
Code MigrationCOBOL · higher is betterTest setup not documented as identicalGPT-6 Luna: 58.6%Mistral Medium 3.5: 5.5%Vals AIAs of 10/29/2026
EMBDataroom · higher is betterTest setup not documented as identicalGPT-6 Luna: 75.5%Mistral Medium 3.5: 13.4%Vals AIAs of 10/20/2026
Finance Agent (v2)All-Pass · higher is betterTest setup not documented as identicalGPT-6 Luna: 38.4%Mistral Medium 3.5: 21.6%Vals AIAs of 10/29/2026
Legal Research BenchAdministrative / Regulatory · Weighted partial credit (weighted pass) · higher is betterTest setup not documented as identicalGPT-6 Luna: 83.2%Mistral Medium 3.5: 67.5%Vals AIAs of 11/05/2026
LMArena Code Arena WebDevReact development · higher is betterTest setup not documented as identicalGPT-6 Luna: 1,575Mistral Medium 3.5: 1,254LMArenaAs of 10/28/2026
LMArena Text, Style ControlChinese · higher is betterTest setup not documented as identicalGPT-6 Luna: 1,483Mistral Medium 3.5: 1,448LMArenaAs of 10/28/2026
LMArena Vision, Style ControlCreative writing with images · higher is betterTest setup not documented as identicalGPT-6 Luna: 1,232Mistral Medium 3.5: 1,195LMArenaAs of 10/19/2026
SAGELinear Algebra · higher is betterTest setup not documented as identicalGPT-6 Luna: 76.5%Mistral Medium 3.5: 64.8%Vals AIAs of 11/05/2026
Tax Agent BenchControversy & Precedence Analysis (weighted pass) · higher is betterTest setup not documented as identicalGPT-6 Luna: 54.4%Mistral Medium 3.5: 18.4%Vals AIAs of 11/05/2026
Code MigrationCode Quality · higher is betterTest setup not documented as identicalGPT-6 Luna: 3.752 / 5Mistral Medium 3.5: 2.987 / 5Vals AIAs of 10/29/2026
EMBDCF · higher is betterTest setup not documented as identicalGPT-6 Luna: 62.8%Mistral Medium 3.5: 2.2%Vals AIAs of 10/20/2026
Finance Agent (v2)Comparables · higher is betterTest setup not documented as identicalGPT-6 Luna: 39.8%Mistral Medium 3.5: 31.5%Vals AIAs of 10/29/2026
Legal Research BenchBusiness & Commercial · All-pass · higher is betterTest setup not documented as identicalGPT-6 Luna: 23.3%Mistral Medium 3.5: 9.3%Vals AIAs of 11/05/2026
LMArena Code Arena WebDevWeb development · higher is betterTest setup not documented as identicalGPT-6 Luna: 1,579Mistral Medium 3.5: 1,264LMArenaAs of 10/28/2026
LMArena Text, Style ControlCoding · higher is betterTest setup not documented as identicalGPT-6 Luna: 1,506Mistral Medium 3.5: 1,477LMArenaAs of 10/28/2026
LMArena Vision, Style ControlDiagram understanding · higher is betterTest setup not documented as identicalGPT-6 Luna: 1,275Mistral Medium 3.5: 1,242LMArenaAs of 10/19/2026
SAGEPartial Differential Equations · higher is betterTest setup not documented as identicalGPT-6 Luna: 85.6%Mistral Medium 3.5: 81.2%Vals AIAs of 11/05/2026
Tax Agent BenchCurrent & Temporal Analysis · higher is betterTest setup not documented as identicalGPT-6 Luna: 16.5%Mistral Medium 3.5: 6.5%Vals AIAs of 11/05/2026
EMBLBO · higher is betterTest setup not documented as identicalGPT-6 Luna: 59.1%Mistral Medium 3.5: 9.6%Vals AIAs of 10/20/2026
Finance Agent (v2)Disclosure Analysis · higher is betterTest setup not documented as identicalGPT-6 Luna: 57.6%Mistral Medium 3.5: 40.2%Vals AIAs of 10/29/2026
Legal Research BenchBusiness & Commercial · Weighted partial credit (weighted pass) · higher is betterTest setup not documented as identicalGPT-6 Luna: 79.1%Mistral Medium 3.5: 71.3%Vals AIAs of 11/05/2026
LMArena Text, Style ControlCreative writing · higher is betterTest setup not documented as identicalGPT-6 Luna: 1,410Mistral Medium 3.5: 1,400LMArenaAs of 10/28/2026
LMArena Vision, Style ControlEnglish · higher is betterTest setup not documented as identicalGPT-6 Luna: 1,228Mistral Medium 3.5: 1,216LMArenaAs of 10/19/2026
Tax Agent BenchCurrent & Temporal Analysis (weighted pass) · higher is betterTest setup not documented as identicalGPT-6 Luna: 55.3%Mistral Medium 3.5: 29.4%Vals AIAs of 11/05/2026
EMBM&A · higher is betterTest setup not documented as identicalGPT-6 Luna: 72.1%Mistral Medium 3.5: 10.7%Vals AIAs of 10/20/2026
Finance Agent (v2)Earnings Analysis · higher is betterTest setup not documented as identicalGPT-6 Luna: 74.2%Mistral Medium 3.5: 42.1%Vals AIAs of 10/29/2026
Legal Research BenchCivil Litigation · All-pass · higher is betterTest setup not documented as identicalGPT-6 Luna: 25.9%Mistral Medium 3.5: 11.1%Vals AIAs of 11/05/2026
LMArena Text, Style ControlEnglish · higher is betterTest setup not documented as identicalGPT-6 Luna: 1,449Mistral Medium 3.5: 1,444LMArenaAs of 10/28/2026
LMArena Vision, Style ControlHomework · higher is betterTest setup not documented as identicalGPT-6 Luna: 1,281Mistral Medium 3.5: 1,217LMArenaAs of 10/19/2026
Tax Agent BenchFact-Pattern Analysis · higher is betterTest setup not documented as identicalGPT-6 Luna: 29.5%Mistral Medium 3.5: 2.3%Vals AIAs of 11/05/2026
EMBMisc · higher is betterTest setup not documented as identicalGPT-6 Luna: 68.6%Mistral Medium 3.5: 14.1%Vals AIAs of 10/20/2026
Finance Agent (v2)Financial Modeling · higher is betterTest setup not documented as identicalGPT-6 Luna: 22.5%Mistral Medium 3.5: 5.1%Vals AIAs of 10/29/2026
Legal Research BenchCivil Litigation · Weighted partial credit (weighted pass) · higher is betterTest setup not documented as identicalGPT-6 Luna: 78.6%Mistral Medium 3.5: 66.0%Vals AIAs of 11/05/2026
LMArena Text, Style ControlEntertainment, sports and media · higher is betterTest setup not documented as identicalGPT-6 Luna: 1,413Mistral Medium 3.5: 1,396LMArenaAs of 10/28/2026
LMArena Vision, Style ControlOptical character recognition · higher is betterTest setup not documented as identicalGPT-6 Luna: 1,251Mistral Medium 3.5: 1,215LMArenaAs of 10/19/2026
Tax Agent BenchFact-Pattern Analysis (weighted pass) · higher is betterTest setup not documented as identicalGPT-6 Luna: 60.2%Mistral Medium 3.5: 24.4%Vals AIAs of 11/05/2026
EMBOperating · higher is betterTest setup not documented as identicalGPT-6 Luna: 71.1%Mistral Medium 3.5: 10.2%Vals AIAs of 10/20/2026
Finance Agent (v2)General Qualitative Analysis · higher is betterTest setup not documented as identicalGPT-6 Luna: 54.3%Mistral Medium 3.5: 47.9%Vals AIAs of 10/29/2026
Legal Research BenchConstitutional / Civil Rights · All-pass · higher is betterTest setup not documented as identicalGPT-6 Luna: 31.6%Mistral Medium 3.5: 10.5%Vals AIAs of 11/05/2026
LMArena Text, Style ControlExcluding ties · higher is betterTest setup not documented as identicalGPT-6 Luna: 1,441Mistral Medium 3.5: 1,420LMArenaAs of 10/28/2026
Tax Agent BenchForms & Filings · higher is betterTest setup not documented as identicalGPT-6 Luna: 12.8%Mistral Medium 3.5: 0.0%Vals AIAs of 11/05/2026
EMBScratch · higher is betterTest setup not documented as identicalGPT-6 Luna: 66.4%Mistral Medium 3.5: 15.0%Vals AIAs of 10/20/2026

More comparisons

Compare GPT-6 Luna and Mistral Medium 3.5 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 51 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. 28GPT-6 Luna vs. Qwen 3.8 27B
  20. 29GPT-6 Luna vs. Qwen 3.8 Max 0902
  21. 30GPT-6 Luna vs. GLM-5.2
  22. 31GPT-6 Luna vs. GPT-5.5
  23. 32GPT-6 Luna vs. Gemini 3.7 Flash
  24. 33Claude Opus 5.5 vs. Mistral Medium 3.5
  25. 34Claude Fable 5.1 vs. GPT-6 Luna
  26. 35GPT-6 Luna vs. GLM-5.3
  27. 36Claude Sonnet 4.5 vs. Mistral Medium 3.5
  28. 37GPT-6 Luna vs. Grok 4.6
  29. 38Claude Opus 4.5 vs. GPT-6 Luna
  30. 39DeepSeek-V4.1-Flash vs. Mistral Medium 3.5
  31. 40GPT-6 Luna vs. MiMo-V2.5
  32. 41Claude Fable 5 vs. GPT-6 Luna
  33. 42GPT-6 Luna vs. Mistral Large 4
  34. 43GPT-6 Luna vs. Gemini 3.5 Flash
  35. 44GPT-6.1 Terra vs. GPT-6 Luna
  36. 45DeepSeek V4.1 Flash 1017 vs. Mistral Medium 3.5
  37. 46Claude Sonnet 5.5 vs. Mistral Medium 3.5
  38. 47GLM-5.2 vs. Mistral Medium 3.5
  39. 48Mistral Large 4 vs. Mistral Medium 3.5
  40. 49GPT-6 Luna vs. Grok 4.5
  41. 50Claude Opus 4.7 vs. GPT-6 Luna
  42. 51GPT-6 Luna vs. Gemini 4 Argon