Skip to main content

AnthropicOpenAILLM matchup

Claude Fable 5.2vs.GPT-6.1 Terra

Which one is better?

Claude Fable 5.2 performs better than GPT-6.1 Terra, but costs 8 times as much.

Fable 5.2 ahead
IntelligenceOverall index, 100 points = average
130.9

Claude Fable 5.2

Rank 1

106.5

GPT-6.1 Terra

Rank 21

SpeedTokens per second
n/a

Claude Fable 5.2

62

GPT-6.1 Terra

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

Claude Fable 5.2

$2

GPT-6.1 Terra

Above 272,000 tokens of context, GPT-6.1 Terra costs more: $2 input and $7.50 output per 1M tokens.

Choose Claude Fable 5.2 for

LegalKnowledgeFinanceAgentsGeneralCodingReasoning

Choose GPT-6.1 Terra for

No clear advantage

Where is the difference?

Strengths at a glance

Fable 5.2GPT-6.1 TerraMedian of all ranked models

9512014517070CodingFable 5.2ReasoningFable 5.2KnowledgeFable 5.2AgentsFable 5.2GeneralFable 5.2FinanceFable 5.2LegalFable 5.2
CodingFable 5.2 ahead
Fable 5.2131.6Rank 1
GPT-6.1 Terra114.7Rank 13
Median of ranked models87.4

95 % range: Fable 5.2 122.0 to 141.1, GPT-6.1 Terra 105.8 to 123.5.

AreaFable 5.2GPT-6.1 Terra

The same values and verdicts as the bars below. In the close-up the net starts at 70 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: Mathematics, Multimodal, Health.

Fable 5.2 is ahead in 7 of 9 areas, GPT-6.1 Terra in none.

Fable 5.2 ahead: 7too little data: 2

Areas in the overall index
KnowledgeFable 5.2 +34145.5 to 111.2
AgentsFable 5.2 +20124.2 to 103.7
GeneralFable 5.2 +20132.8 to 112.5
CodingFable 5.2 +17131.6 to 114.7
ReasoningFable 5.2 +10124.9 to 114.7
Mathematicsonly Fable 5.2 has a score
Multimodalonly GPT-6.1 Terra has a score
Specialist fields
LegalFable 5.2 +41120.9 to 79.7
FinanceFable 5.2 +25123.5 to 99.0

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 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.

lowFable 5.2 ahead
24.9 points gap across 11 shared test series
mediumFable 5.2 ahead
18.4 points gap across 11 shared test series
highFable 5.2 ahead
19.5 points gap across 11 shared test series
xhighFable 5.2 ahead
17.8 points gap across 11 shared test series
maxFable 5.2 ahead
17.3 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 Terra 106.5

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 114.7
Maths and data analysisFable 5.2Mathematics without a score for GPT-6.1 Terra, Reasoning 124.9 to 114.7
Facts and researchFable 5.2Knowledge 145.5 to 111.2
Agents and workflowsFable 5.2Agents 124.2 to 103.7
Many requests on a small budgetGPT-6.1 Terra$16 to $2 per 1M tokens
Finance, legal and medical textsFable 5.2Finance 123.5 to 99.0, Legal 120.9 to 79.7
Images, screenshots and PDFsopenMultimodal without a score for Fable 5.2

Claude Fable 5.2 vs. GPT-6.1 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

Claude Fable 5.2

Not tested yet

GPT-6.1 Terra

Not tested yet

Claude Fable 5.2 and GPT-6.1 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 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
GPT-6.1 Terramax106.5

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 Terra
Intelligence
Overall indexpoints, 100 = reference group average, higher is better130.9106.5
RankRank 1 of 94Rank 21 of 94
Price per 1M tokens
Inputwhat you send$8$1above 272,000 tokens: $2
Outputwhat the model writes$40$5above 272,000 tokens: $7.50
Speed
Tokens per secondn/a62
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 2026Jun 1, 2026
ReleasedNov 9, 2026Oct 26, 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
  • GPT-6.1 Terra, 12-hour cache write: The table's cache-write rate covers 30-minute retention. With 12-hour retention it is $2.50 per 1M tokens through 272,000 input tokens, $5 above. Source
  • GPT-6.1 Terra, Long-context billing: Above 272,000 input tokens, the higher rates apply to the entire request. Input and cache rates double, while output costs 1.5 times the standard rate. Source
  • GPT-6.1 Terra, Batch and Flex pricing: 50% off standard pricing Source
  • GPT-6.1 Terra, Fast pricing: Fast mode costs twice the standard price Source
  • GPT-6.1 Terra, Regional processing: 10% surcharge over standard processing Source

Prices without caching or batch discounts · Page count as a rule of thumb from Artificial Analysis

Is there a better choice?

Cheaper than GPT-6.1 TerraMuse Ember 1.0

Overall index 110.4, rank 14$0.10 input and $0.50 output per 1M tokens

View profile

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 Terra currently matches in version, task and metric. We therefore show no estimated or blended values.

More comparisons

Compare Claude Fable 5.2 and GPT-6.1 Terra with the models people compare them with most often.

Compare another matchup

The most popular comparisons

  1. 1GPT-6.1 Terra vs. Gemini 3.8 Flash
  2. 2GPT-6.1 Sol vs. GPT-6.1 Terra
  3. 3Claude Fable 5.2 vs. Kimi K3
  4. 4GPT-6.1 Terra vs. GLM-5.3
  5. 5GPT-6.1 Terra vs. GPT-6 Astra
  6. 6GPT-6.1 Terra vs. DeepSeek V4.1 Flash 1017
  7. 7GPT-6.1 Terra vs. GPT-6 Luna
  8. 8Claude Haiku 5.5 vs. GPT-6.1 Terra
  9. 9Claude Opus 5.5 vs. GPT-6.1 Terra
Show all 38 comparisons
  1. 10GPT-6.1 Terra vs. GPT-6 Sol
  2. 11GPT-6.1 Terra vs. Gemini 4 Argon
  3. 12GPT-6.1 Terra vs. GPT-5.6 Luna
  4. 13GPT-6.1 Terra vs. GPT-5.6 Sol
  5. 14Claude Sonnet 5.5 vs. GPT-6.1 Terra
  6. 15GPT-6.1 Terra vs. DeepSeek-V4-Flash
  7. 16GPT-6.1 Terra vs. Gemini 4 Carbon
  8. 17GPT-6.1 Terra vs. GLM-5.3-Flash
  9. 18GPT-6.1 Terra vs. DeepSeek-V4.1-Flash
  10. 19GPT-6.1 Terra vs. GPT-5.4 mini
  11. 20Claude Fable 5.2 vs. Claude Opus 5.5
  12. 21Claude Opus 4.8 vs. GPT-6.1 Terra
  13. 22GPT-6.1 Terra vs. Kimi K3.1 Pro
  14. 23GPT-6.1 Terra vs. GPT-5.4
  15. 24Claude Sonnet 5 vs. GPT-6.1 Terra
  16. 25GPT-6.1 Terra vs. Gemini 3.1 Pro Preview
  17. 26GPT-6.1 Terra vs. Mistral Large 4
  18. 27GPT-6.1 Terra vs. Grok 4.7
  19. 28Claude Sonnet 4.6 vs. GPT-6.1 Terra
  20. 29Claude Fable 5.2 vs. Claude Haiku 5.5
  21. 30GPT-6.1 Terra vs. Muse Spark 1.3
  22. 31GPT-6.1 Terra vs. GPT-5.5
  23. 32GPT-6.1 Terra vs. Gemini 3.6 Flash
  24. 33Claude Opus 5 vs. GPT-6.1 Terra
  25. 34GPT-6.1 Terra vs. GLM-5.2
  26. 35GPT-6.1 Terra vs. Qwen 3.8 Max 0902
  27. 36Claude Haiku 4.5 vs. GPT-6.1 Terra
  28. 37Claude Sonnet 4.5 vs. GPT-6.1 Terra
  29. 38GPT-6.1 Terra vs. DeepSeek-V4-Pro