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OpenAILLM matchup

GPT-6.1 Solvs.GPT-5.6 Terra

Is the higher price worth it?

GPT-6.1 Sol performs better than GPT-5.6 Terra and is cheaper: GPT-5.6 Terra costs 1.2 times as much for output and about the same for input.

GPT-6.1 Sol ahead
IntelligenceOverall index, 100 points = average
117.5

GPT-6.1 Sol

Rank 9

100.9

GPT-5.6 Terra

Rank 31

GPT-5.6 Terra faster
SpeedTokens per second
54

GPT-6.1 Sol

80

GPT-5.6 Terra

about the same price
Price$ per 1M tokens
$4

GPT-6.1 Sol

$4.50

GPT-5.6 Terra

Above 272,000 tokens of context, GPT-6.1 Sol costs more: $4 input and $15 output per 1M tokens. Above 272,000 tokens of context, GPT-5.6 Terra costs more: $4 input and $18 output per 1M tokens.

Choose GPT-6.1 Sol for

KnowledgeMathematicsMultimodalEducationReasoningCodingHealthGeneralAgentsLegal (not certain)Finance (not certain)

Choose GPT-5.6 Terra for

Cybersecurity

Where is the difference?

Strengths at a glance

GPT-6.1 SolGPT-5.6 TerraMedian of all ranked models

10012014080CodingGPT-6.1 SolReasoningGPT-6.1 SolMathematicsGPT-6.1 SolKnowledgeGPT-6.1 SolAgentsGPT-6.1 SolGeneralGPT-6.1 SolMultimodalGPT-6.1 SolFinanceslightlyGPT-6.1 SolLegalslightlyGPT-6.1 SolHealthGPT-6.1 Sol
CodingGPT-6.1 Sol ahead
GPT-6.1 Sol120.6Rank 8
GPT-5.6 Terra104.5Rank 23
Median of ranked models87.5

95 % range: GPT-6.1 Sol 113.7 to 127.5, GPT-5.6 Terra 98.7 to 110.4.

AreaGPT-6.1 SolGPT-5.6 Terra

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.

GPT-6.1 Sol is ahead in 8 of 10 areas, GPT-5.6 Terra in none.

GPT-6.1 Sol ahead: 8GPT-6.1 Sol slightly ahead: 2

Areas in the overall index
KnowledgeGPT-6.1 Sol +36123.7 to 88.1
MathematicsGPT-6.1 Sol +22124.1 to 101.8
MultimodalGPT-6.1 Sol +19118.0 to 99.3
ReasoningGPT-6.1 Sol +17122.7 to 105.7
CodingGPT-6.1 Sol +16120.6 to 104.5
GeneralGPT-6.1 Sol +14119.0 to 104.8
AgentsGPT-6.1 Sol +10112.0 to 101.7
Specialist fields
HealthGPT-6.1 Sol +15110.2 to 94.8
Legalleaning GPT-6.1 Solnot certain · 3 and 2 tests
Financeleaning GPT-6.1 Solnot certain · 5 and 6 tests

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-6.1 Sol +18119.9 to 101.7
CybersecurityGPT-5.6 Terra +1493.0 to 107.3
Productivitytoo little data100.7 to 97.9
Searchonly GPT-6.1 Sol 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-6.1 Sol vs. GPT-5.6 Terra 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-6.1 Sol ahead
22.2 points gap across 11 shared test series
Overall index (max vs. max)GPT-6.1 Sol ahead
GPT-6.1 Sol 117.5 vs. GPT-5.6 Terra 100.9

The gap compares 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.

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-6.1 SolCoding 120.6 to 104.5
Maths and data analysisGPT-6.1 SolMathematics 124.1 to 101.8, Reasoning 122.7 to 105.7
Facts and researchGPT-6.1 SolKnowledge 123.7 to 88.1, Search without a score for GPT-5.6 Terra
Agents and workflowsGPT-6.1 SolAgents 112.0 to 101.7
Fast chat repliesGPT-5.6 Terra54 to 80 tokens per second
Security analysisGPT-5.6 TerraCybersecurity 93.0 to 107.3
Many requests on a small budgetabout the same$4 to $4.50 per 1M tokens
Finance, legal and medical textsGPT-6.1 SolFinance 105.8 to 102.4, Legal 107.0 to 102.7, Health 110.2 to 94.8
Images, screenshots and PDFsGPT-6.1 SolMultimodal 118.0 to 99.3

GPT-6.1 Sol vs. GPT-5.6 Terra in our own test

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-6.1 Sol

GPT-6.1 Sol: Pelican on a bicycle
A community classic for free-form SVG drawing.

Oct 1, 2026 · 84 s · $0.04

Test details
Run date
Oct 1, 2026
API provider
openrouter
Requested API model
openai/gpt-6.1-sol
Reasoning setting
high
Token limit including reasoning
8,192 tokens
Output tokens
3,583 tokens
Cost of the attempt
$0.0359
Response time
83.6 s
API model reported in response
openai/gpt-6.1-sol
Pinned endpoint
OpenAI | openai/gpt-6.1-sol-20260929
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-5.6 Terra

GPT-5.6 Terra: Pelican on a bicycle
A community classic for free-form SVG drawing.

Sep 7, 2026 · 65 s · $0.04

Test details
Run date
Sep 7, 2026
API provider
openrouter
Requested API model
openai/gpt-5.6-terra
Reasoning setting
high
Token limit including reasoning
8,192 tokens
Output tokens
3,373 tokens
Cost of the attempt
$0.0405
Response time
64.6 s
API model reported in response
openai/gpt-5.6-terra
Pinned endpoint
OpenAI | openai/gpt-5.6-terra-20260709
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.

GPT-6.1 Sol

Unavailable in this round

GPT-5.6 Terra

Unavailable in this round

GPT-6.1 Sol and GPT-5.6 Terra 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 v5)

20 of 95 models

Claude Fable 5.2max130.9
Gemini 4 Carbonhigh127.0
Claude Opus 5.5max125.7
Claude Fable 5.1max124.1
Claude Sonnet 5.5max121.9
Gemini 4 Argonhigh121.2
GPT-6 Astramax119.6
Muse Wonder Fullmax118.4
GPT-6.1 Solmax117.5
Claude Opus 5max117.3
Muse Wondermax113.7
Claude Fable 5max112.8
Kimi K3.1 Promax112.6
Muse Ember 1.0max110.5
GPT-5.6 Solmax109.3
GPT-6 Solmax108.4
Gemini 3.7 Flashhigh107.7
DeepSeek V4.1 Flash 1017max107.1
GPT-6.1 Terramax106.5
GPT-5.6 Terramax100.9

All data side by side

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

MetricGPT-6.1 SolGPT-5.6 Terra
Intelligence
Overall indexpoints, 100 = reference group average, higher is better117.5100.9
RankRank 9 of 95Rank 31 of 95
Price per 1M tokens
Inputwhat you send$2above 272,000 tokens: $4$2above 272,000 tokens: $4
Outputwhat the model writes$10above 272,000 tokens: $15$12above 272,000 tokens: $18
Cost per task (own tests)average of 3 original-protocol tasks both models passed (SVG short test not included)$0.044$0.047
Speed
Tokens per second5480
Technical
Context windowhow much text the model reads at once1.05 M tokens≈ 1,580 A4 pages1.05 M tokens≈ 1,580 A4 pages
Knowledge cutoffApr 30, 2026Feb 16, 2026
ReleasedSep 29, 2026Jul 9, 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 GPT-5.6 TerraGPT-6.1 Terra

Overall index 106.5, rank 19$1 input and $5 output per 1M tokens

GPT-6.1 Sol vs. GPT-6.1 Terra
As cheap as GPT-6.1 SolGemini 4 Carbon

Overall index 127.0, rank 2$2 input and $10 output per 1M tokens

GPT-6.1 Sol vs. Gemini 4 Carbon
Best model in the overall indexClaude Fable 5.2

Overall index 130.9, rank 1$8 input and $40 output per 1M tokens

GPT-6.1 Sol vs. Claude Fable 5.2

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-6.1 SolB: GPT-5.6 Terra

AA-BriefcaseOverall · higher is betterGPT-6.1 Sol: 1,554.7 eloGPT-5.6 Terra: 1,333.1 eloArtificial AnalysisAs of 11/10/2026
AA-OmniscienceOverall · higher is betterGPT-6.1 Sol: 42.033 pointsGPT-5.6 Terra: -9.267 pointsArtificial AnalysisAs of 11/07/2026
AA-Omniscience AccuracyOverall · higher is betterGPT-6.1 Sol: 61.8%GPT-5.6 Terra: 42.3%Artificial AnalysisAs of 11/07/2026
AA-Omniscience Hallucination RateOverall · lower is betterGPT-6.1 Sol: 51.9%GPT-5.6 Terra: 89.4%Artificial AnalysisAs of 11/07/2026
AutomationBench-AAOverall · higher is betterGPT-6.1 Sol: 64.9%GPT-5.6 Terra: 59.6%Artificial AnalysisAs of 11/07/2026
Code MigrationOverall · higher is betterGPT-6.1 Sol: 65.1%GPT-5.6 Terra: 47.8%Vals AIAs of 10/29/2026
CritPt v2 (Hard Subset)Overall · higher is betterGPT-6.1 Sol: 69.5%GPT-5.6 Terra: 50.5%Artificial AnalysisAs of 11/07/2026
CyberBench v1.1Overall · higher is betterGPT-6.1 Sol: 39.3%GPT-5.6 Terra: 72.1%Vals AIAs of 11/05/2026
EMBOverall · higher is betterGPT-6.1 Sol: 70.8%GPT-5.6 Terra: 66.2%Vals AIAs of 10/20/2026
Finance Agent (v2)Overall · higher is betterGPT-6.1 Sol: 52.0%GPT-5.6 Terra: 54.4%Vals AIAs of 10/29/2026
Show 54 more benchmarks
Financial Coaching BenchOverall · higher is betterGPT-6.1 Sol: 68.5%GPT-5.6 Terra: 71.0%Vals AIAs of 11/13/2026
FrontierCodeOverall · higher is betterGPT-6.1 Sol: 40.6%GPT-5.6 Terra: 23.9%Artificial AnalysisAs of 11/07/2026
GDP.pdfOverall · higher is betterGPT-6.1 Sol: 31.0%GPT-5.6 Terra: 24.0%Artificial AnalysisAs of 11/07/2026
GDPval-AAOverall · higher is betterGPT-6.1 Sol: 1,607.7 eloGPT-5.6 Terra: 1,461.5 eloArtificial AnalysisAs of 11/10/2026
HLE-DiamondOverall · higher is betterGPT-6.1 Sol: 58.8%GPT-5.6 Terra: 28.8%Artificial AnalysisAs of 11/07/2026
IOIOverall · higher is betterGPT-6.1 Sol: 96.9%GPT-5.6 Terra: 87.6%Vals AIAs of 10/29/2026
Legal Research BenchOverall · All-pass · higher is betterGPT-6.1 Sol: 38.5%GPT-5.6 Terra: 41.3%Vals AIAs of 11/05/2026
LMArena Text, Style ControlOverall · higher is betterTest setup not documented as identicalGPT-6.1 Sol: 1,481GPT-5.6 Terra: 1,468LMArenaAs of 11/11/2026
LMArena Vision, Style ControlOverall · higher is betterTest setup not documented as identicalGPT-6.1 Sol: 1,293GPT-5.6 Terra: 1,266LMArenaAs of 11/09/2026
MedCodeOverall · higher is betterTest setup not documented as identicalGPT-6.1 Sol: 48.8%GPT-5.6 Terra: 43.4%Vals AIAs of 10/29/2026
MedScribeOverall · higher is betterTest setup not documented as identicalGPT-6.1 Sol: 86.5%GPT-5.6 Terra: 82.9%Vals AIAs of 10/29/2026
MMMU-ProOverall · higher is betterGPT-6.1 Sol: 86.0%GPT-5.6 Terra: 80.7%Artificial AnalysisAs of 11/07/2026
ProgramBenchOverall · higher is betterGPT-6.1 Sol: 3.0%GPT-5.6 Terra: 0.5%Vals AIAs of 11/05/2026
ProofBench v1.1Overall · higher is betterGPT-6.1 Sol: 99%GPT-5.6 Terra: 74%Vals AIAs of 10/29/2026
Public Benefits Bench v1.1Overall · higher is betterGPT-6.1 Sol: 59.3%GPT-5.6 Terra: 62.4%Vals AIAs of 10/12/2026
SAGEOverall · higher is betterGPT-6.1 Sol: 90.5%GPT-5.6 Terra: 87.0%Vals AIAs of 11/05/2026
SRE BenchOverall · higher is betterGPT-6.1 Sol: 50.8%GPT-5.6 Terra: 9.5%Vals AIAs of 11/05/2026
Tax Agent BenchOverall · higher is betterGPT-6.1 Sol: 21.8%GPT-5.6 Terra: 30.0%Vals AIAs of 11/05/2026
Terminal-BenchOverall · higher is betterGPT-6.1 Sol: 56.1%GPT-5.6 Terra: 35.4%Artificial AnalysisAs of 11/07/2026
Terminal-Bench 4.0Overall · higher is betterGPT-6.1 Sol: 55.1%GPT-5.6 Terra: 22.7%Vals AIAs of 11/05/2026
Terminal-Bench 4.0Overall · higher is betterGPT-6.1 Sol: 58.2%GPT-5.6 Terra: 21.5%Terminal-BenchAs of 10/06/2026
Terminal-Bench-ScienceOverall · higher is betterGPT-6.1 Sol: 52.9%GPT-5.6 Terra: 10.0%Vals AIAs of 11/05/2026
Terminal-Bench-ScienceOverall · higher is betterGPT-6.1 Sol: 58.1%GPT-5.6 Terra: 13.8%Artificial AnalysisAs of 11/07/2026
Vibe Code Bench v1.1Overall · higher is betterGPT-6.1 Sol: 88.9%GPT-5.6 Terra: 74.6%Vals AIAs of 11/05/2026
Code MigrationCLI · higher is betterGPT-6.1 Sol: 63.5%GPT-5.6 Terra: 40.4%Vals AIAs of 10/29/2026
CyberBench v1.1Patch · higher is betterGPT-6.1 Sol: 78.6%GPT-5.6 Terra: 87.5%Vals AIAs of 11/05/2026
EMBComps · higher is betterGPT-6.1 Sol: 61.8%GPT-5.6 Terra: 62.2%Vals AIAs of 10/20/2026
Finance Agent (v2)Adjustments · higher is betterGPT-6.1 Sol: 44.7%GPT-5.6 Terra: 49.7%Vals AIAs of 10/29/2026
Financial Coaching BenchElicitation · higher is betterGPT-6.1 Sol: 59.5%GPT-5.6 Terra: 61.1%Vals AIAs of 11/13/2026
IOIIOI 2024 · higher is betterGPT-6.1 Sol: 100%GPT-5.6 Terra: 85%Vals AIAs of 10/29/2026
Legal Research BenchAdministrative / Regulatory · All-pass · higher is betterGPT-6.1 Sol: 53.0%GPT-5.6 Terra: 57.6%Vals AIAs of 11/05/2026
LMArena Text, Style ControlBusiness, management and finance · higher is betterTest setup not documented as identicalGPT-6.1 Sol: 1,480GPT-5.6 Terra: 1,466LMArenaAs of 11/11/2026
LMArena Vision, Style ControlChinese · higher is betterTest setup not documented as identicalGPT-6.1 Sol: 1,348GPT-5.6 Terra: 1,303LMArenaAs of 11/09/2026
ProgramBenchAlmost Resolved · higher is betterGPT-6.1 Sol: 46%GPT-5.6 Terra: 15%Vals AIAs of 11/05/2026
SAGEComputer Science · higher is betterGPT-6.1 Sol: 92.4%GPT-5.6 Terra: 89.2%Vals AIAs of 11/05/2026
SRE BenchCapability Score · higher is betterGPT-6.1 Sol: 56.3%GPT-5.6 Terra: 26.8%Vals AIAs of 11/05/2026
Tax Agent BenchControversy & Precedence Analysis · higher is betterGPT-6.1 Sol: 6.7%GPT-5.6 Terra: 16.7%Vals AIAs of 11/05/2026
Terminal-Bench 4.0Hardware · higher is betterGPT-6.1 Sol: 40%GPT-5.6 Terra: 0%Vals AIAs of 11/05/2026
Terminal-Bench-ScienceEarth Sciences · higher is betterGPT-6.1 Sol: 62.5%GPT-5.6 Terra: 0.0%Vals AIAs of 11/05/2026
Code MigrationCOBOL · higher is betterGPT-6.1 Sol: 70%GPT-5.6 Terra: 70%Vals AIAs of 10/29/2026
CyberBench v1.1PoC · higher is betterGPT-6.1 Sol: 0.0%GPT-5.6 Terra: 56.7%Vals AIAs of 11/05/2026
EMBDataroom · higher is betterGPT-6.1 Sol: 84.5%GPT-5.6 Terra: 82.2%Vals AIAs of 10/20/2026
Finance Agent (v2)All-Pass · higher is betterGPT-6.1 Sol: 39.9%GPT-5.6 Terra: 42.8%Vals AIAs of 10/29/2026
Financial Coaching BenchLength-Controlled · higher is betterGPT-6.1 Sol: 69.9%GPT-5.6 Terra: 70.9%Vals AIAs of 11/13/2026
IOIIOI 2025 · higher is betterGPT-6.1 Sol: 100.0%GPT-5.6 Terra: 77.8%Vals AIAs of 10/29/2026
Legal Research BenchAdministrative / Regulatory · Weighted partial credit (weighted pass) · higher is betterGPT-6.1 Sol: 85.5%GPT-5.6 Terra: 88.8%Vals AIAs of 11/05/2026
LMArena Text, Style ControlChinese · higher is betterTest setup not documented as identicalGPT-6.1 Sol: 1,531GPT-5.6 Terra: 1,516LMArenaAs of 11/11/2026
LMArena Vision, Style ControlCreative writing with images · higher is betterTest setup not documented as identicalGPT-6.1 Sol: 1,303GPT-5.6 Terra: 1,250LMArenaAs of 11/09/2026
ProgramBenchFully Resolved · higher is betterGPT-6.1 Sol: 3.0%GPT-5.6 Terra: 0.5%Vals AIAs of 11/05/2026
SAGELinear Algebra · higher is betterGPT-6.1 Sol: 87.2%GPT-5.6 Terra: 79.5%Vals AIAs of 11/05/2026
SRE BenchFully Solved · higher is betterGPT-6.1 Sol: 50.8%GPT-5.6 Terra: 9.5%Vals AIAs of 11/05/2026
Tax Agent BenchControversy & Precedence Analysis (weighted pass) · higher is betterGPT-6.1 Sol: 64.8%GPT-5.6 Terra: 64.8%Vals AIAs of 11/05/2026
Terminal-Bench 4.0Media · higher is betterGPT-6.1 Sol: 50.0%GPT-5.6 Terra: 16.7%Vals AIAs of 11/05/2026
Terminal-Bench-ScienceEngineering Sciences · higher is betterGPT-6.1 Sol: 33.3%GPT-5.6 Terra: 0.0%Vals AIAs of 11/05/2026

More comparisons

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