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Claude Fable 5.1 vs GLM 4.7

Updated October 21, 2026. 61 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Fable 5.1Anthropic
Coding
89.1
Overall
53.4
Output $/M
$50.00
61
GLM 4.7Z.ai
Coding
33.6
Overall
22.2
Output $/M
$1.98
0
vs boards won of 61 shared

Decision reading

Pick Claude Fable 5.1 for coding: it scores 89.1 on the Vibe Coding Index against 33.6 for GLM 4.7.

Pick GLM 4.7 when output tokens cost 25.3x less.

Shared results
61
Claude Fable 5.1 only
63
GLM 4.7 only
19
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 5.1 89.1 from 2 benchmarks, GLM 4.7 33.6 from 1 benchmark.
Widest category
Math, 37.5 points apart on average over 4 shared benchmarks.
Widest single gap
ProofBench: Claude Fable 5.1 100.0% against GLM 4.7 6.0%, 94.0 points apart on a 0 to 100 scale.
Output price
Claude Fable 5.1 $50.00 against GLM 4.7 $1.98 per million output tokens, 25.3x apart.
Context window
Claude Fable 5.1 takes 1M tokens, GLM 4.7 205K.

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 5.1BarsGLM 4.7Ties
Coding80
Intelligence20
Agentic work40
Reasoning70
Math40
Knowledge90
Web design80
General190
All shared boards610
CodingLike-for-likeFour of these boards feed the Vibe Coding Index80
Coding benchmarks for Claude Fable 5.1 and GLM 4.7
BenchmarkClaude Fable 5.1GLM 4.7Leader
LiveBench coding97.7%Not measuredOnly Claude Fable 5.1 measured
LMArena WebDev17431435Claude Fable 5.1
AA Coding Index81.645.3Claude Fable 5.1
LiveCodeBench (Vals AI)90.5%82.2%Claude Fable 5.1
SWE-bench Verified (Vals AI)Not measured69.4%Only GLM 4.7 measured
Terminal-Bench 4 (Vals AI)58.1%Not measuredOnly Claude Fable 5.1 measured
Vibe Code Bench (Vals AI)90.3%Not measuredOnly Claude Fable 5.1 measured
Code migration (Vals AI)54.6%Not measuredOnly Claude Fable 5.1 measured
ProgramBench (Vals AI)7.0%Not measuredOnly Claude Fable 5.1 measured
IOI (Vals AI)90.8%Not measuredOnly Claude Fable 5.1 measured
Terminal-Bench 2.1 (Vals AI)85.0%Not measuredOnly Claude Fable 5.1 measured
SWE-bench Multimodal (Vals AI)61.3%Not measuredOnly Claude Fable 5.1 measured
Vibe Code Bench 1-100 (Vals AI)28.0%Not measuredOnly Claude Fable 5.1 measured
SkillsBench (Vals AI)61.5%Not measuredOnly Claude Fable 5.1 measured
CyberBench (Vals AI)70.4%Not measuredOnly Claude Fable 5.1 measured
LiveCodeBench (Artificial Analysis run)Not measured89.4%Only GLM 4.7 measured
SciCode63.1%Not measuredOnly Claude Fable 5.1 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured31.8%Only GLM 4.7 measured
Terminal-BenchNot measured33.4%Only GLM 4.7 measured
FrontierCode50.9%Not measuredOnly Claude Fable 5.1 measured
FrontierSWE56.3%Not measuredOnly Claude Fable 5.1 measured
GSO-Bench88.2%Not measuredOnly Claude Fable 5.1 measured
WeirdML92.9%Not measuredOnly Claude Fable 5.1 measured
MirrorCode73.3%Not measuredOnly Claude Fable 5.1 measured
ALE-Bench2143.2399.5Claude Fable 5.1
LMArena Text: coding15321454Claude Fable 5.1
LMArena Text: software and IT15301453Claude Fable 5.1
LMArena WebDev: React17921420Claude Fable 5.1
LMArena WebDev: HTML16841447Claude Fable 5.1
LMArena WebDev: from an image1722Not measuredOnly Claude Fable 5.1 measured
Neither model has a result on the other 8 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Fable 5.1 and GLM 4.7
BenchmarkClaude Fable 5.1GLM 4.7Leader
AA Intelligence Index53.422.2Claude Fable 5.1
Epoch Capabilities Index166.5143.6Claude Fable 5.1
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
Agentic work benchmarks for Claude Fable 5.1 and GLM 4.7
BenchmarkClaude Fable 5.1GLM 4.7Leader
AA Agentic Index57.9Not measuredOnly Claude Fable 5.1 measured
Design Arena: agents building web apps1318Not measuredOnly Claude Fable 5.1 measured
Design Arena: agents building full-stack apps13261050Claude Fable 5.1
Design Arena: agents building mobile apps12671105Claude Fable 5.1
Design Arena: agents building Android appsNot measured1118Only GLM 4.7 measured
Design Arena: agents building Godot games13271058Claude Fable 5.1
Design Arena: PowerPoint slides1328Not measuredOnly Claude Fable 5.1 measured
Design Arena: spreadsheets1374Not measuredOnly Claude Fable 5.1 measured
LiveBench research82.0%Not measuredOnly Claude Fable 5.1 measured
LiveBench browser100.0%Not measuredOnly Claude Fable 5.1 measured
LiveBench long agentic80.8%Not measuredOnly Claude Fable 5.1 measured
SREBench (Vals AI)22.9%Not measuredOnly Claude Fable 5.1 measured
Finance Agent (Vals AI)58.9%Not measuredOnly Claude Fable 5.1 measured
Tax Agent Bench (Vals AI)49.2%Not measuredOnly Claude Fable 5.1 measured
Legal Research Bench (Vals AI)55.3%Not measuredOnly Claude Fable 5.1 measured
Excel Modeling Benchmark (Vals AI)76.7%Not measuredOnly Claude Fable 5.1 measured
Terminal-Bench-Science (Vals AI)40.0%Not measuredOnly Claude Fable 5.1 measured
Time Horizon Index (Vals AI)63.3%Not measuredOnly Claude Fable 5.1 measured
CUA-bench (Vals AI)13.2%Not measuredOnly Claude Fable 5.1 measured
Robo-bench (Vals AI)5.8%Not measuredOnly Claude Fable 5.1 measured
τ²-Bench TelecomNot measured95.9%Only GLM 4.7 measured
APEX-Agents68.6%Not measuredOnly Claude Fable 5.1 measured
Remote Labor Index17.9%Not measuredOnly Claude Fable 5.1 measured
SpireClimb2.0%Not measuredOnly Claude Fable 5.1 measured
Vending-Bench 2$5,422$2,377Claude Fable 5.1
LMArena Search1246Not measuredOnly Claude Fable 5.1 measured
Neither model has a result on the other 13 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
Reasoning benchmarks for Claude Fable 5.1 and GLM 4.7
BenchmarkClaude Fable 5.1GLM 4.7Leader
GPQA Diamond93.4%80.0%Claude Fable 5.1
LiveBench reasoning91.7%Not measuredOnly Claude Fable 5.1 measured
MysteryMechanism (Vals AI)47.8%Not measuredOnly Claude Fable 5.1 measured
MMMU Pro (Vals AI)90.6%Not measuredOnly Claude Fable 5.1 measured
GPQA Diamond (Artificial Analysis run)93.7%85.9%Claude Fable 5.1
Humanity's Last Exam (Artificial Analysis run)59.1%27.4%Claude Fable 5.1
GPQA Diamond (Epoch AI run)Not measured83.3%Only GLM 4.7 measured
ARC-AGI97.5%Not measuredOnly Claude Fable 5.1 measured
ARC-AGI-290.0%Not measuredOnly Claude Fable 5.1 measured
SimpleBenchNot measured47.7%Only GLM 4.7 measured
Chess puzzles48.0%21.0%Claude Fable 5.1
Mystery game puzzles58.0%Not measuredOnly Claude Fable 5.1 measured
EBR-bench57.1%Not measuredOnly Claude Fable 5.1 measured
LMArena Text: hard prompts15281443Claude Fable 5.1
LMArena Text: expert15441424Claude Fable 5.1
LMArena Text: hard prompts in English15221452Claude Fable 5.1
LMArena Vision: diagrams1343Not measuredOnly Claude Fable 5.1 measured
LMArena Vision: homework1345Not measuredOnly Claude Fable 5.1 measured
Neither model has a result on the other 3 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Claude Fable 5.1 and GLM 4.7
BenchmarkClaude Fable 5.1GLM 4.7Leader
AIMENot measured93.3%Only GLM 4.7 measured
MGSM (Vals AI)Not measured88.2%Only GLM 4.7 measured
AA Math IndexNot measured95.0Only GLM 4.7 measured
AIME 2025 (Artificial Analysis run)Not measured95.0%Only GLM 4.7 measured
OTIS Mock AIME100.0%83.3%Claude Fable 5.1
FrontierMath, tiers 1 to 390.2%Not measuredOnly Claude Fable 5.1 measured
FrontierMath, tier 487.8%Not measuredOnly Claude Fable 5.1 measured
ProofBench100.0%6.0%Claude Fable 5.1
LMArena Text: math15311424Claude Fable 5.1
LMArena Text: mathematical work15411411Claude Fable 5.1
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index90
Knowledge benchmarks for Claude Fable 5.1 and GLM 4.7
BenchmarkClaude Fable 5.1GLM 4.7Leader
MMLU Pro92.4%82.7%Claude Fable 5.1
LegalBench (Vals AI)88.5%83.4%Claude Fable 5.1
CaseLaw (Vals AI)Not measured54.9%Only GLM 4.7 measured
CorpFin (Vals AI)Not measured46.4%Only GLM 4.7 measured
TaxEval (Vals AI)76.0%68.8%Claude Fable 5.1
MortgageTax (Vals AI)70.8%Not measuredOnly Claude Fable 5.1 measured
MedQA (Vals AI)Not measured93.7%Only GLM 4.7 measured
MedCode (Vals AI)53.5%32.8%Claude Fable 5.1
MMLU Pro (Artificial Analysis run)Not measured85.6%Only GLM 4.7 measured
SimpleQA Verified70.8%32.2%Claude Fable 5.1
LMArena Text: science15321457Claude Fable 5.1
LMArena Text: medicine and healthcare15311469Claude Fable 5.1
LMArena Text: legal and government15141444Claude Fable 5.1
LMArena Text: business and finance14931429Claude Fable 5.1
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Claude Fable 5.1 and GLM 4.7
BenchmarkClaude Fable 5.1GLM 4.7Leader
Design Arena: websites13131226Claude Fable 5.1
Design Arena: UI components13381199Claude Fable 5.1
Design Arena: game dev13821189Claude Fable 5.1
Design Arena: data viz13441195Claude Fable 5.1
Design Arena: 3D13931191Claude Fable 5.1
Design Arena: all code categories13361217Claude Fable 5.1
Design Arena: SVG13011142Claude Fable 5.1
Design Arena: ASCII art13241165Claude Fable 5.1
LiveBench design83.4%Not measuredOnly Claude Fable 5.1 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index190
General benchmarks for Claude Fable 5.1 and GLM 4.7
BenchmarkClaude Fable 5.1GLM 4.7Leader
LiveBench data analysis80.3%Not measuredOnly Claude Fable 5.1 measured
Public Benefits Bench (Vals AI)74.9%Not measuredOnly Claude Fable 5.1 measured
SAGE (Vals AI)48.5%Not measuredOnly Claude Fable 5.1 measured
MedScribe (Vals AI)91.3%68.6%Claude Fable 5.1
IFBenchNot measured67.9%Only GLM 4.7 measured
Long context reasoning (AA-LCR)85.3%71.0%Claude Fable 5.1
DTBench97.6%Not measuredOnly Claude Fable 5.1 measured
LMCA65.5%Not measuredOnly Claude Fable 5.1 measured
CL-benchNot measured15.9%Only GLM 4.7 measured
Furniture assembly70.0%Not measuredOnly Claude Fable 5.1 measured
CL-bench LifeNot measured10.9%Only GLM 4.7 measured
LMArena Text15121435Claude Fable 5.1
LMArena Text: instruction following15181412Claude Fable 5.1
LMArena Text: creative writing15091401Claude Fable 5.1
LMArena Vision1319Not measuredOnly Claude Fable 5.1 measured
LMArena Text: English15061453Claude Fable 5.1
LMArena Text: non-English15081417Claude Fable 5.1
LMArena Text: Chinese15841495Claude Fable 5.1
LMArena Text: German14991426Claude Fable 5.1
LMArena Text: Japanese15621439Claude Fable 5.1
LMArena Text: Korean15171399Claude Fable 5.1
LMArena Text: French15231432Claude Fable 5.1
LMArena Text: Spanish15201434Claude Fable 5.1
LMArena Text: Russian15201423Claude Fable 5.1
LMArena Text: Polish15251435Claude Fable 5.1
LMArena Text: multi-turn14931446Claude Fable 5.1
LMArena Text: longer queries15241432Claude Fable 5.1
LMArena Text: writing and language15101411Claude Fable 5.1
LMArena Text: entertainment and media14971400Claude Fable 5.1
LMArena Vision: English1313Not measuredOnly Claude Fable 5.1 measured
LMArena Vision: Chinese1391Not measuredOnly Claude Fable 5.1 measured
LMArena Vision: reading text1327Not measuredOnly Claude Fable 5.1 measured
LMArena Vision: humor1318Not measuredOnly Claude Fable 5.1 measured
LMArena Vision: creative writing1330Not measuredOnly Claude Fable 5.1 measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Fable 5.1 and GLM 4.7
BenchmarkClaude Fable 5.1GLM 4.7Leader
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 5.1$0.035Fits in one request
GLM 4.7$0.0015Fits in one request

GLM 4.7 costs less

Repository review

50K input + 3K output tokens

Claude Fable 5.1$0.650Fits in one request
GLM 4.7$0.033Fits in one request

GLM 4.7 costs less

Agent loop

200K input + 10K output tokens

Claude Fable 5.1$2.50Fits in one request
GLM 4.7$0.128Exceeds the context window

GLM 4.7 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 5.1 and GLM 4.7
SpecificationAnthropic Claude Fable 5.1Z.ai GLM 4.7
MakerAnthropicZ.ai
WeightsNo public weights listedOpen weights
ReleasedSeptember 1, 2026December 22, 2025
Context window1M205K
Input $/Mtok$10.00$0.54
Output $/Mtok$50.00$1.98
Coding index89.133.6
Independent measurements behind it21
Cost per solved taskNot computable$0.29
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Fable 5.1 better than GLM 4.7 for coding?

Pick Claude Fable 5.1 for coding: it scores 89.1 on the Vibe Coding Index against 33.6 for GLM 4.7. Pick GLM 4.7 when output tokens cost 25.3x less.

Which is cheaper, Claude Fable 5.1 or GLM 4.7?

Claude Fable 5.1 costs $10.00 per million input tokens and $50.00 per million output tokens; GLM 4.7 costs $0.54 and $1.98. Cost per solved task is known for GLM 4.7 only.

Which has the bigger context window, Claude Fable 5.1 or GLM 4.7?

Claude Fable 5.1, with 1M tokens against 205K.

How many benchmarks is the Claude Fable 5.1 vs GLM 4.7 comparison based on?

61 benchmarks have a result for both models as of October 21, 2026. Claude Fable 5.1's coding index rests on 2 independent benchmarks and GLM 4.7's on 1. Where only one model has a result, the page says so instead of naming a winner.

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