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OpenAILLM matchup

GPT-6.1 Solvs.GPT-6 Sol

What has improved?

GPT-6.1 Sol performs better than GPT-6 Sol at the same price.

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

GPT-6.1 Sol

Rank 9

108.4

GPT-6 Sol

Rank 16

GPT-6 Sol faster
SpeedTokens per second
54

GPT-6.1 Sol

103

GPT-6 Sol

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

GPT-6.1 Sol

$4

GPT-6 Sol

Above 272,000 tokens of context, both cost more: $4 input and $15 output per 1M tokens.

Choose GPT-6.1 Sol for

SearchKnowledgeMultimodalHealthReasoningProductivityMathematicsAgentsGeneral (not certain)Finance (not certain)Coding (not certain)

Choose GPT-6 Sol for

Cybersecurity

Where is the difference?

Strengths at a glance

GPT-6.1 SolGPT-6 SolMedian of all ranked models

10011012013090CodingslightlyGPT-6.1 SolReasoningGPT-6.1 SolMathematicsGPT-6.1 SolKnowledgeGPT-6.1 SolAgentsGPT-6.1 SolGeneralslightlyGPT-6.1 SolMultimodalGPT-6.1 SolFinanceslightlyGPT-6.1 SolHealthGPT-6.1 Sol
CodingGPT-6.1 Sol slightly ahead
GPT-6.1 Sol120.6Rank 8
GPT-6 Sol115.2Rank 12
Median of ranked models87.5

95 % range: GPT-6.1 Sol 113.7 to 127.5, GPT-6 Sol 112.3 to 118.1.

AreaGPT-6.1 SolGPT-6 Sol

The same values and verdicts as the bars below. In the close-up the net starts at 90 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: Legal.

GPT-6.1 Sol is ahead in 6 of 10 areas, GPT-6 Sol in none.

GPT-6.1 Sol ahead: 6GPT-6.1 Sol slightly ahead: 3too little data: 1

Areas in the overall index
KnowledgeGPT-6.1 Sol +15123.7 to 108.8
MultimodalGPT-6.1 Sol +15118.0 to 103.1
ReasoningGPT-6.1 Sol +9122.7 to 114.1
MathematicsGPT-6.1 Sol +7124.1 to 117.4
AgentsGPT-6.1 Sol +6112.0 to 106.3
Generalleaning GPT-6.1 Solnot certain · 7 and 6 tests
Codingleaning GPT-6.1 Solnot certain · 13 and 10 tests
Specialist fields
HealthGPT-6.1 Sol +9110.2 to 101.4
Financeleaning GPT-6.1 Solnot certain · 5 and 3 tests
Legaltoo little data107.0 to 100.8

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
SearchGPT-6.1 Sol +30119.3 to 89.7
CybersecurityGPT-6 Sol +2793.0 to 119.9
ProductivityGPT-6.1 Sol +8100.7 to 92.8
Educationonly 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-6 Sol 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
10.2 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-6 Sol 108.4

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 codeleaning GPT-6.1 SolCoding 120.6 to 115.2
Maths and data analysisGPT-6.1 SolMathematics 124.1 to 117.4, Reasoning 122.7 to 114.1
Facts and researchGPT-6.1 SolKnowledge 123.7 to 108.8, Search 119.3 to 89.7
Agents and workflowsGPT-6.1 SolAgents 112.0 to 106.3
Fast chat repliesGPT-6 Sol54 to 103 tokens per second
Security analysisGPT-6 SolCybersecurity 93.0 to 119.9
Many requests on a small budgetabout the same$4 to $4 per 1M tokens
Finance, legal and medical textsGPT-6.1 SolFinance 105.8 to 98.7, Legal 107.0 to 100.8 (too little data), Health 110.2 to 101.4
Images, screenshots and PDFsGPT-6.1 SolMultimodal 118.0 to 103.1

GPT-6.1 Sol vs. GPT-6 Sol 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-6 Sol

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

Oct 1, 2026 · 80 s · $0.04

Test details
Run date
Oct 1, 2026
API provider
openrouter
Requested API model
openai/gpt-6-sol
Reasoning setting
high
Token limit including reasoning
8,192 tokens
Output tokens
4,389 tokens
Cost of the attempt
$0.0439
Response time
80.5 s
API model reported in response
openai/gpt-6-sol
Pinned endpoint
OpenAI | openai/gpt-6-sol-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.

GPT-6.1 Sol

Unavailable in this round

GPT-6 Sol

Unavailable in this round

GPT-6.1 Sol and GPT-6 Sol 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
Gemini 3.8 Flashhigh106.4

All data side by side

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

MetricGPT-6.1 SolGPT-6 Sol
Intelligence
Overall indexpoints, 100 = reference group average, higher is better117.5108.4
RankRank 9 of 95Rank 16 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$10above 272,000 tokens: $15
Cost per task (own tests)average of 3 original-protocol tasks both models passed (SVG short test not included)$0.044$0.044
Speed
Tokens per second54103
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, 2026Apr 20, 2026
ReleasedSep 29, 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?

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-6 Sol

AA-BriefcaseOverall · higher is betterGPT-6.1 Sol: 1,554.7 eloGPT-6 Sol: 1,476.5 eloArtificial AnalysisAs of 11/10/2026
AA-OmniscienceOverall · higher is betterGPT-6.1 Sol: 42.0 pointsGPT-6 Sol: 21.4 pointsArtificial AnalysisAs of 11/07/2026
AA-Omniscience AccuracyOverall · higher is betterGPT-6.1 Sol: 61.8%GPT-6 Sol: 51.1%Artificial AnalysisAs of 11/07/2026
AA-Omniscience Hallucination RateOverall · lower is betterGPT-6.1 Sol: 51.9%GPT-6 Sol: 60.8%Artificial AnalysisAs of 11/07/2026
AutomationBench-AAOverall · higher is betterGPT-6.1 Sol: 64.9%GPT-6 Sol: 61.6%Artificial AnalysisAs of 11/07/2026
BioMysteryBenchOverall · higher is betterGPT-6.1 Sol: 79.6%GPT-6 Sol: 74.8%Vals AIAs of 11/05/2026
Code MigrationOverall · higher is betterGPT-6.1 Sol: 65.1%GPT-6 Sol: 57.2%Vals AIAs of 10/29/2026
CritPt v2 (Hard Subset)Overall · higher is betterGPT-6.1 Sol: 69.5%GPT-6 Sol: 66.5%Artificial AnalysisAs of 11/07/2026
CyberBench v1.1Overall · higher is betterGPT-6.1 Sol: 39.3%GPT-6 Sol: 78.0%Vals AIAs of 11/05/2026
EMBOverall · higher is betterGPT-6.1 Sol: 70.8%GPT-6 Sol: 71.5%Vals AIAs of 10/20/2026
Show 54 more benchmarks
Finance Agent (v2)Overall · higher is betterGPT-6.1 Sol: 52%GPT-6 Sol: 49%Vals AIAs of 10/29/2026
Financial Coaching BenchOverall · higher is betterGPT-6.1 Sol: 68.5%GPT-6 Sol: 62.6%Vals AIAs of 11/13/2026
FrontierCodeOverall · higher is betterGPT-6.1 Sol: 40.6%GPT-6 Sol: 35.6%Artificial AnalysisAs of 11/07/2026
GDP.pdfOverall · higher is betterGPT-6.1 Sol: 31.0%GPT-6 Sol: 25.2%Artificial AnalysisAs of 11/07/2026
GDPval-AAOverall · higher is betterGPT-6.1 Sol: 1,607.7 eloGPT-6 Sol: 1,515.9 eloArtificial AnalysisAs of 11/10/2026
HLE-DiamondOverall · higher is betterGPT-6.1 Sol: 58.8%GPT-6 Sol: 45.2%Artificial AnalysisAs of 11/07/2026
IOIOverall · higher is betterGPT-6.1 Sol: 96.9%GPT-6 Sol: 82.6%Vals AIAs of 10/29/2026
Legal Research BenchOverall · All-pass · higher is betterGPT-6.1 Sol: 38.5%GPT-6 Sol: 28.8%Vals AIAs of 11/05/2026
LMArena Code Arena WebDevOverall · higher is betterGPT-6.1 Sol: 1,743GPT-6 Sol: 1,673LMArenaAs of 11/11/2026
LMArena SearchOverall · higher is betterGPT-6.1 Sol: 1,233GPT-6 Sol: 1,175LMArenaAs of 10/13/2026
LMArena Text, Style ControlOverall · higher is betterGPT-6.1 Sol: 1,481GPT-6 Sol: 1,457LMArenaAs of 11/11/2026
LMArena Vision, Style ControlOverall · higher is betterGPT-6.1 Sol: 1,293GPT-6 Sol: 1,258LMArenaAs of 11/09/2026
MedCodeOverall · higher is betterGPT-6.1 Sol: 48.8%GPT-6 Sol: 47.1%Vals AIAs of 10/29/2026
MedScribeOverall · higher is betterGPT-6.1 Sol: 86.5%GPT-6 Sol: 82.0%Vals AIAs of 10/29/2026
MMMU-ProOverall · higher is betterGPT-6.1 Sol: 86.0%GPT-6 Sol: 82.9%Artificial AnalysisAs of 11/07/2026
MysteryMechanismOverall · higher is betterGPT-6.1 Sol: 46.4%GPT-6 Sol: 30.2%Vals AIAs of 10/29/2026
ProgramBenchOverall · higher is betterGPT-6.1 Sol: 3%GPT-6 Sol: 2%Vals AIAs of 11/05/2026
ProofBench v1.1Overall · higher is betterGPT-6.1 Sol: 99%GPT-6 Sol: 83%Vals AIAs of 10/29/2026
Public Benefits Bench v1.1Overall · higher is betterGPT-6.1 Sol: 59.3%GPT-6 Sol: 56.6%Vals AIAs of 10/12/2026
SRE BenchOverall · higher is betterGPT-6.1 Sol: 50.8%GPT-6 Sol: 30.5%Vals AIAs of 11/05/2026
Tax Agent BenchOverall · higher is betterGPT-6.1 Sol: 21.8%GPT-6 Sol: 15.0%Vals AIAs of 11/05/2026
Terminal-BenchOverall · higher is betterGPT-6.1 Sol: 56.1%GPT-6 Sol: 43.9%Artificial AnalysisAs of 11/07/2026
Terminal-Bench 4.0Overall · higher is betterGPT-6.1 Sol: 55.1%GPT-6 Sol: 44.4%Vals AIAs of 11/05/2026
Terminal-Bench-ScienceOverall · higher is betterGPT-6.1 Sol: 52.9%GPT-6 Sol: 30.0%Vals AIAs of 11/05/2026
Terminal-Bench-ScienceOverall · higher is betterGPT-6.1 Sol: 58.1%GPT-6 Sol: 30.0%Artificial AnalysisAs of 11/07/2026
Vals Science IndexOverall · higher is betterGPT-6.1 Sol: 59.6%GPT-6 Sol: 45.0%Vals AIAs of 10/25/2026
Vibe Code Bench v1.1Overall · higher is betterGPT-6.1 Sol: 88.9%GPT-6 Sol: 87.8%Vals AIAs of 11/05/2026
BioMysteryBenchHard · higher is betterGPT-6.1 Sol: 39.2%GPT-6 Sol: 35.3%Vals AIAs of 11/05/2026
Code MigrationCLI · higher is betterGPT-6.1 Sol: 63.5%GPT-6 Sol: 52.9%Vals AIAs of 10/29/2026
CyberBench v1.1Patch · higher is betterGPT-6.1 Sol: 78.6%GPT-6 Sol: 89.3%Vals AIAs of 11/05/2026
EMBComps · higher is betterGPT-6.1 Sol: 61.8%GPT-6 Sol: 73.3%Vals AIAs of 10/20/2026
Finance Agent (v2)Adjustments · higher is betterGPT-6.1 Sol: 44.7%GPT-6 Sol: 43.2%Vals AIAs of 10/29/2026
Financial Coaching BenchElicitation · higher is betterGPT-6.1 Sol: 59.5%GPT-6 Sol: 55.9%Vals AIAs of 11/13/2026
IOIIOI 2024 · higher is betterGPT-6.1 Sol: 100%GPT-6 Sol: 100%Vals AIAs of 10/29/2026
Legal Research BenchAdministrative / Regulatory · All-pass · higher is betterGPT-6.1 Sol: 53.0%GPT-6 Sol: 39.4%Vals AIAs of 11/05/2026
LMArena Code Arena WebDevHTML development · higher is betterGPT-6.1 Sol: 1,794GPT-6 Sol: 1,684LMArenaAs of 11/11/2026
LMArena Text, Style ControlBusiness, management and finance · higher is betterGPT-6.1 Sol: 1,480GPT-6 Sol: 1,450LMArenaAs of 11/11/2026
LMArena Vision, Style ControlChinese · higher is betterGPT-6.1 Sol: 1,348GPT-6 Sol: 1,313LMArenaAs of 11/09/2026
ProgramBenchAlmost Resolved · higher is betterGPT-6.1 Sol: 46.0%GPT-6 Sol: 32.5%Vals AIAs of 11/05/2026
SRE BenchCapability Score · higher is betterGPT-6.1 Sol: 56.3%GPT-6 Sol: 57.3%Vals AIAs of 11/05/2026
Tax Agent BenchControversy & Precedence Analysis · higher is betterGPT-6.1 Sol: 6.7%GPT-6 Sol: 6.7%Vals AIAs of 11/05/2026
Terminal-Bench 4.0Hardware · higher is betterGPT-6.1 Sol: 40.0%GPT-6 Sol: 6.7%Vals AIAs of 11/05/2026
Terminal-Bench-ScienceEarth Sciences · higher is betterGPT-6.1 Sol: 62.5%GPT-6 Sol: 25.0%Vals AIAs of 11/05/2026
Vals Science IndexBioMysteryBench · higher is betterGPT-6.1 Sol: 79.6%GPT-6 Sol: 74.8%Vals AIAs of 10/25/2026
BioMysteryBenchHuman-solvable · higher is betterGPT-6.1 Sol: 89%GPT-6 Sol: 84%Vals AIAs of 11/05/2026
Code MigrationCOBOL · higher is betterGPT-6.1 Sol: 70%GPT-6 Sol: 70%Vals AIAs of 10/29/2026
CyberBench v1.1PoC · higher is betterGPT-6.1 Sol: 0.0%GPT-6 Sol: 66.7%Vals AIAs of 11/05/2026
EMBDataroom · higher is betterGPT-6.1 Sol: 84.5%GPT-6 Sol: 83.9%Vals AIAs of 10/20/2026
Finance Agent (v2)All-Pass · higher is betterGPT-6.1 Sol: 39.9%GPT-6 Sol: 36.0%Vals AIAs of 10/29/2026
Financial Coaching BenchLength-Controlled · higher is betterGPT-6.1 Sol: 69.9%GPT-6 Sol: 65.2%Vals AIAs of 11/13/2026
IOIIOI 2025 · higher is betterGPT-6.1 Sol: 100.0%GPT-6 Sol: 79.3%Vals AIAs of 10/29/2026
Legal Research BenchAdministrative / Regulatory · Weighted partial credit (weighted pass) · higher is betterGPT-6.1 Sol: 85.5%GPT-6 Sol: 80.5%Vals AIAs of 11/05/2026
LMArena Code Arena WebDevImage to WebDev · higher is betterGPT-6.1 Sol: 1,696GPT-6 Sol: 1,655LMArenaAs of 11/10/2026
LMArena Text, Style ControlChinese · higher is betterGPT-6.1 Sol: 1,531GPT-6 Sol: 1,477LMArenaAs of 11/11/2026

More comparisons

Compare GPT-6.1 Sol and GPT-6 Sol with the models people compare them with most often.

Compare another matchup

The most popular comparisons

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