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AnthropicOpenAILLM matchup

Claude Fable 5.2vs.GPT-6.1 Sol

Which one is better?

Claude Fable 5.2 performs better than GPT-6.1 Sol, but costs 4 times as much.

Fable 5.2 ahead
IntelligenceOverall index, 100 points = average
130.9

Claude Fable 5.2

Rank 1

118.0

GPT-6.1 Sol

Rank 9

SpeedTokens per second
n/a

Claude Fable 5.2

44

GPT-6.1 Sol

GPT-6.1 Sol cheaper
Price$ per 1M tokens
$16

Claude Fable 5.2

$4

GPT-6.1 Sol

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

Choose Claude Fable 5.2 for

KnowledgeFinanceAgentsCodingMathematicsGeneralLegal (not certain)

Choose GPT-6.1 Sol for

No clear advantage

Where is the difference?

Strengths at a glance

Fable 5.2GPT-6.1 Sol

The median of all ranked models is below 100 in every area, so it sits in the centre of the net.

120140160100CodingFable 5.2ReasoninglevelMathematicsFable 5.2KnowledgeFable 5.2AgentsFable 5.2GeneralFable 5.2FinanceFable 5.2LegalslightlyFable 5.2
CodingFable 5.2 ahead
Fable 5.2131.6Rank 1
GPT-6.1 Sol120.5Rank 8
Median of ranked models87.4

95 % range: Fable 5.2 122.0 to 141.1, GPT-6.1 Sol 113.2 to 127.9.

AreaFable 5.2GPT-6.1 Sol

The same values and verdicts as the bars below. In the close-up the net starts at 100 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: Multimodal, Health.

Fable 5.2 is ahead in 6 of 10 areas, GPT-6.1 Sol in none.

Fable 5.2 ahead: 6Fable 5.2 slightly ahead: 1level: 1too little data: 2

Areas in the overall index
KnowledgeFable 5.2 +22145.5 to 123.8
AgentsFable 5.2 +12124.2 to 112.3
CodingFable 5.2 +11131.6 to 120.5
MathematicsFable 5.2 +11135.2 to 124.4
GeneralFable 5.2 +10132.8 to 122.4
Reasoninglevel124.9 to 122.9
Multimodalonly GPT-6.1 Sol has a score
Specialist fields
FinanceFable 5.2 +18123.5 to 105.9
Legalleaning Fable 5.2not certain · 3 tests each
Healthonly 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.

Show 4 more areas that do not count toward the overall index
Cybersecurityonly GPT-6.1 Sol has a score
Searchonly GPT-6.1 Sol has a score
Productivityonly GPT-6.1 Sol has a score
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.

Claude Fable 5.2 vs. GPT-6.1 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.

lowFable 5.2 ahead
18.1 points gap across 11 shared test series
mediumFable 5.2 ahead
10.6 points gap across 11 shared test series
highFable 5.2 ahead
10.6 points gap across 11 shared test series
xhighFable 5.2 ahead
9.9 points gap across 11 shared test series
maxFable 5.2 ahead
11.2 points gap across 11 shared test series
Overall index (max vs. max)Fable 5.2 ahead
Fable 5.2 130.9 vs. GPT-6.1 Sol 118.0

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 codeFable 5.2Coding 131.6 to 120.5
Maths and data analysisFable 5.2Mathematics 135.2 to 124.4, Reasoning 124.9 to 122.9
Facts and researchFable 5.2Knowledge 145.5 to 123.8, Search without a score for Fable 5.2
Agents and workflowsFable 5.2Agents 124.2 to 112.3
Security analysisopenCybersecurity without a score for Fable 5.2
Many requests on a small budgetGPT-6.1 Sol$16 to $4 per 1M tokens
Finance, legal and medical textsFable 5.2Finance 123.5 to 105.9, Legal 120.9 to 106.8, Health without a score for Fable 5.2
Images, screenshots and PDFsopenMultimodal without a score for Fable 5.2

Claude Fable 5.2 vs. GPT-6.1 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

Claude Fable 5.2

Not tested yet

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.

SVG short test

There is no shared test round for this selection. Results from different rounds are not mixed.

Claude Fable 5.2 and GPT-6.1 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 94 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 Fable 5.2max130.9
Gemini 4 Carbonhigh127.0
Claude Opus 5.5max125.6
Claude Fable 5.1max124.1
Claude Sonnet 5.5max121.8
Gemini 4 Argonhigh121.4
GPT-6 Astramax120.2
Muse Wonder Fullmax118.1
GPT-6.1 Solmax118.0
Claude Opus 5max117.4
Muse Wondermax113.3
Claude Fable 5max112.8
Kimi K3.1 Promax112.6
Muse Ember 1.0max110.4
GPT-6 Solmax109.1
GPT-5.6 Solmax109.1
Gemini 3.7 Flashhigh107.9
Muse Spark 1.3max107.3
Gemini 3.8 Flashhigh106.8
DeepSeek V4.1 Flash 1017max106.7

All data side by side

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

MetricClaude Fable 5.2GPT-6.1 Sol
Intelligence
Overall indexpoints, 100 = reference group average, higher is better130.9118.0
RankRank 1 of 94Rank 9 of 94
Price per 1M tokens
Inputwhat you send$8$2above 272,000 tokens: $4
Outputwhat the model writes$40$10above 272,000 tokens: $15
Speed
Tokens per secondn/a44
Technical
Context windowhow much text the model reads at once1 M tokens≈ 1,500 A4 pages1.05 M tokens≈ 1,580 A4 pages
Knowledge cutoffJune 2026Apr 30, 2026
ReleasedNov 9, 2026Sep 29, 2026
AvailabilityActiveActive
Open weightsnono
  • Claude Fable 5.2, Batch pricing: $4 input and $20 output per million tokens, separate from standard API pricing. Source
  • Claude Fable 5.2, Fast pricing: $16 input and $80 output per million tokens. Fast is a separate serving mode. Source

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 SolClaude Sonnet 5.5

Overall index 121.8, rank 5$2 input and $10 output per 1M tokens

Fable 5.2 vs. Claude Sonnet 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.

No directly comparable result yet

No published benchmark for Claude Fable 5.2 and GPT-6.1 Sol currently matches in version, task and metric. We therefore show no estimated or blended values.

More comparisons

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  21. 30GPT-6.1 Sol vs. GLM-5.3
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  25. 34GPT-6.1 Sol vs. Gemini 3.5 Flash
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