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Claude Fable 5.2 vs GPT-6.1 Terra

Claude Fable 5.2 leads GPT-6.1 Terra on coding, 87.8 to 76.4 on the Vibe Coding Index, and GPT-6.1 Terra costs 8.0x less per output token ($5.00 vs $40.00 per million). Updated November 14, 2026; 48 benchmarks have a result for both.

Replace Claude Fable 5.2 Replace GPT-6.1 Terra
Claude Fable 5.2Anthropic
Coding
87.8
Overall
91.7
Output $/M
$40.00
40
GPT-6.1 TerraOpenAI
Coding
76.4
Overall
77.4
Output $/M
$5.00
8
vs boards won of 48 shared

Claude Fable 5.2 or GPT-6.1 Terra: which to pick

Pick Claude Fable 5.2 for coding: it scores 87.8 on the Vibe Coding Index against 76.4 for GPT-6.1 Terra.

Pick GPT-6.1 Terra for output tokens 8.0x cheaper ($5.00 vs $40.00 per million) and a larger context window (1.05M against 1M tokens).

Model AClaude Fable 5.2Anthropic87.8/1004 independent benchmarksNo cost per solved taskModel BGPT-6.1 TerraOpenAI76.4/1004 independent benchmarksNo cost per solved task
Shared results
48
Claude Fable 5.2 only
20
GPT-6.1 Terra only
7
Like-for-like categories
8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Claude Fable 5.2 87.8 from 4 benchmarks, GPT-6.1 Terra 76.4 from 4 benchmarks.
Widest category
Knowledge, 27.6 points apart on average over 2 shared benchmarks.
Widest single gap
Design Arena: spreadsheets: Claude Fable 5.2 1434 against GPT-6.1 Terra 1027, 50.9 points apart on a 0 to 100 scale.
Output price
Claude Fable 5.2 $40.00 against GPT-6.1 Terra $5.00 per million output tokens, 8.0x apart.
Context window
Claude Fable 5.2 takes 1M tokens, GPT-6.1 Terra 1.05M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryClaude Fable 5.2BarsGPT-6.1 TerraTies
Coding83
Intelligence20
Agentic work82
Reasoning81
Math21
Knowledge20
Web design60
General41
All shared boards408
CodingLike-for-likeSix of these boards feed the Vibe Coding Index83
Coding benchmarks for Claude Fable 5.2 and GPT-6.1 Terra
BenchmarkClaude Fable 5.2GPT-6.1 TerraLeader
LiveBench coding79.2%89.2%GPT-6.1 Terra
LMArena WebDev18381678Claude Fable 5.2
Terminal-Bench 4 (Vals AI)65.2%49.5%Claude Fable 5.2
Vibe Code Bench (Vals AI)93.8%84.0%Claude Fable 5.2
ProgramBench (Vals AI)19.0%Not measuredOnly Claude Fable 5.2 measured
SWE-bench Multimodal (Vals AI)62.3%Not measuredOnly Claude Fable 5.2 measured
SciCode67.7%55.1%Claude Fable 5.2
Terminal-Bench 4.0 (Artificial Analysis run)61.6%55.6%Claude Fable 5.2
FrontierCode 2.049.1%42.3%Claude Fable 5.2
FrontierSWE69.9%Not measuredOnly Claude Fable 5.2 measured
MirrorCodeNot measured76.7%Only GPT-6.1 Terra measured
ALE-Bench2509.82608.8GPT-6.1 Terra
LMArena WebDev: React19151664Claude Fable 5.2
LMArena WebDev: HTML17381740GPT-6.1 Terra
GameBench 299.185.8Claude Fable 5.2
Terminal-Bench 4.0Not measured51.8%Only GPT-6.1 Terra measured
CursorBench 4.060.0%Not measuredOnly Claude Fable 5.2 measured
Neither model has a result on the other 35 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Fable 5.2 and GPT-6.1 Terra
BenchmarkClaude Fable 5.2GPT-6.1 TerraLeader
AA Intelligence Index64.651.3Claude Fable 5.2
Epoch Capabilities Index173.4167.7Claude Fable 5.2
Agentic workLike-for-likePublic boards, shown as published, kept out of the index82
Agentic work benchmarks for Claude Fable 5.2 and GPT-6.1 Terra
BenchmarkClaude Fable 5.2GPT-6.1 TerraLeader
Design Arena: agents building full-stack apps1402Not measuredOnly Claude Fable 5.2 measured
Design Arena: agents building mobile apps13251169Claude Fable 5.2
Design Arena: spreadsheets14341027Claude Fable 5.2
LiveBench research94.5%79.1%Claude Fable 5.2
LiveBench browser86.9%93.1%GPT-6.1 Terra
LiveBench long agentic82.9%56.2%Claude Fable 5.2
Tax Agent Bench (Vals AI)32.1%17.1%Claude Fable 5.2
Legal Research Bench (Vals AI)46.1%26.0%Claude Fable 5.2
Harvey's Legal Agent Benchmark (Vals AI)5.0%1.7%Claude Fable 5.2
BioMysteryBench (Vals AI)83.7%Not measuredOnly Claude Fable 5.2 measured
Terminal-Bench-Science (Vals AI)55.7%Not measuredOnly Claude Fable 5.2 measured
Vals Science Index63.7%Not measuredOnly Claude Fable 5.2 measured
APEX-Agents80.1%68.3%Claude Fable 5.2
Remote Labor Index41.3%Not measuredOnly Claude Fable 5.2 measured
SpireClimb15.5%22.3%GPT-6.1 Terra
Vending-Bench 2Not measured$9,107Only GPT-6.1 Terra measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index81
Reasoning benchmarks for Claude Fable 5.2 and GPT-6.1 Terra
BenchmarkClaude Fable 5.2GPT-6.1 TerraLeader
LiveBench reasoning88.8%88.7%Claude Fable 5.2
MysteryMechanism (Vals AI)51.8%Not measuredOnly Claude Fable 5.2 measured
Humanity's Last Exam (Artificial Analysis run)74.3%46.2%Claude Fable 5.2
HLE-Diamond (Artificial Analysis run)80.2%47.3%Claude Fable 5.2
CritPt v2, hard subset (Artificial Analysis run)76.5%68.0%Claude Fable 5.2
GPQA Diamond (Epoch AI run)93.9%94.3%GPT-6.1 Terra
ARC-AGI98.5%Not measuredOnly Claude Fable 5.2 measured
ARC-AGI-293.8%Not measuredOnly Claude Fable 5.2 measured
SimpleBench94.9%72.2%Claude Fable 5.2
Chess puzzles79.0%Not measuredOnly Claude Fable 5.2 measured
Mystery game puzzles90.0%74.0%Claude Fable 5.2
EBR-bench90.5%78.1%Claude Fable 5.2
Humanity's Last Exam (Scale run)72.4%35.7%Claude Fable 5.2
GoBench2566Not measuredOnly Claude Fable 5.2 measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index21
Math benchmarks for Claude Fable 5.2 and GPT-6.1 Terra
BenchmarkClaude Fable 5.2GPT-6.1 TerraLeader
OTIS Mock AIME99.7%100.0%GPT-6.1 Terra
FrontierMath, tiers 1 to 395.1%90.9%Claude Fable 5.2
FrontierMath, tier 4100.0%92.7%Claude Fable 5.2
ProofBench100.0%Not measuredOnly Claude Fable 5.2 measured
MathArena82.8%Not measuredOnly Claude Fable 5.2 measured
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index20
Knowledge benchmarks for Claude Fable 5.2 and GPT-6.1 Terra
BenchmarkClaude Fable 5.2GPT-6.1 TerraLeader
AA-Omniscience66.829.6Claude Fable 5.2
SimpleQA Verified94.0%57.3%Claude Fable 5.2
FACTS Benchmark SuiteNot measured74.1%Only GPT-6.1 Terra measured
PRBench Finance47.1%Not measuredOnly Claude Fable 5.2 measured
PRBench Legal49.0%Not measuredOnly Claude Fable 5.2 measured
Neither model has a result on the other 16 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Claude Fable 5.2 and GPT-6.1 Terra
BenchmarkClaude Fable 5.2GPT-6.1 TerraLeader
Design Arena: websites13511287Claude Fable 5.2
Design Arena: UI components13711289Claude Fable 5.2
Design Arena: game dev13961332Claude Fable 5.2
Design Arena: data vizNot measured1164Only GPT-6.1 Terra measured
Design Arena: 3D15171295Claude Fable 5.2
Design Arena: all code categories13731299Claude Fable 5.2
Design Arena: SVGNot measured1290Only GPT-6.1 Terra measured
LiveBench design85.1%79.7%Claude Fable 5.2
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index41
General benchmarks for Claude Fable 5.2 and GPT-6.1 Terra
BenchmarkClaude Fable 5.2GPT-6.1 TerraLeader
Vals Index71.3%60.5%Claude Fable 5.2
LiveBench data analysis81.5%82.3%GPT-6.1 Terra
Long context reasoning (AA-LCR)83.3%82.7%Claude Fable 5.2
GDPval-AA18311476Claude Fable 5.2
DTBench99.2%Not measuredOnly Claude Fable 5.2 measured
LMCA70.6%Not measuredOnly Claude Fable 5.2 measured
Furniture assembly90.0%79.2%Claude Fable 5.2
MultiChallengeNot measured74.2%Only GPT-6.1 Terra measured
Neither model has a result on the other 41 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Fable 5.2 and GPT-6.1 Terra
BenchmarkClaude Fable 5.2GPT-6.1 TerraLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Claude Fable 5.2$0.028Fits in one request
GPT-6.1 Terra$0.0035Fits in one request

GPT-6.1 Terra costs less

Repository review

50K input + 3K output tokens

Claude Fable 5.2$0.520Fits in one request
GPT-6.1 Terra$0.065Fits in one request

GPT-6.1 Terra costs less

Agent loop

200K input + 10K output tokens

Claude Fable 5.2$2.00Fits in one request
GPT-6.1 Terra$0.250Fits in one request

GPT-6.1 Terra costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Claude Fable 5.2 and GPT-6.1 Terra
SpecificationAnthropic Claude Fable 5.2OpenAI GPT-6.1 Terra
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedNovember 9, 2026October 26, 2026
Context window1M1.05M
Input $/Mtok$8.00$1.00
Output $/Mtok$40.00$5.00
Coding index87.876.4
Independent measurements behind it44
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Fable 5.2 better than GPT-6.1 Terra for coding?

Pick Claude Fable 5.2 for coding: it scores 87.8 on the Vibe Coding Index against 76.4 for GPT-6.1 Terra. Pick GPT-6.1 Terra for output tokens 8.0x cheaper ($5.00 vs $40.00 per million) and a larger context window (1.05M against 1M tokens).

Which is cheaper, Claude Fable 5.2 or GPT-6.1 Terra?

Claude Fable 5.2 costs $8.00 per million input tokens and $40.00 per million output tokens; GPT-6.1 Terra costs $1.00 and $5.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Fable 5.2 or GPT-6.1 Terra?

GPT-6.1 Terra, with 1.05M tokens against 1M.

How many benchmarks is the Claude Fable 5.2 vs GPT-6.1 Terra comparison based on?

48 benchmarks have a result for both models as of November 14, 2026. Claude Fable 5.2's coding index rests on 4 independent benchmarks and GPT-6.1 Terra's on 4. Where only one model has a result, the page says so instead of naming a winner.

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