LLMBenchmark.ai

Enter opens the highlighted result. Esc closes.

Claude Fable 5.1 vs GLM 4.6

Updated October 21, 2026. 52 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
52
GLM 4.6Z.ai
Coding
52.2
Overall
18.5
Output $/M
$2.20
0
vs boards won of 52 shared

Decision reading

Pick Claude Fable 5.1 for coding: it scores 89.1 on the Vibe Coding Index against 52.2 for GLM 4.6.

Pick GLM 4.6 when output tokens cost 22.7x less.

Shared results
52
Claude Fable 5.1 only
72
GLM 4.6 only
14
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 4.6 52.2 from 2 benchmarks.
Widest category
Coding, 39.7 points apart on average over 8 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Fable 5.1 90.3% against GLM 4.6 3.1%, 87.2 points apart on a 0 to 100 scale.
Output price
Claude Fable 5.1 $50.00 against GLM 4.6 $2.20 per million output tokens, 22.7x apart.
Context window
Claude Fable 5.1 takes 1M tokens, GLM 4.6 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 4.6Ties
Coding80
Intelligence10
Agentic work30
Reasoning60
Math20
Knowledge70
Web design70
General180
All shared boards520
CodingLike-for-likeFour of these boards feed the Vibe Coding Index80
Coding benchmarks for Claude Fable 5.1 and GLM 4.6
BenchmarkClaude Fable 5.1GLM 4.6Leader
SWE-bench VerifiedNot measured68.2%Only GLM 4.6 measured
LiveBench coding97.7%Not measuredOnly Claude Fable 5.1 measured
LMArena WebDev17431341Claude Fable 5.1
AA Coding Index81.645.8Claude Fable 5.1
LiveCodeBench (Vals AI)90.5%81.0%Claude Fable 5.1
Terminal-Bench 4 (Vals AI)58.1%Not measuredOnly Claude Fable 5.1 measured
Vibe Code Bench (Vals AI)90.3%3.1%Claude Fable 5.1
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 measured69.5%Only GLM 4.6 measured
SciCode63.1%Not measuredOnly Claude Fable 5.1 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured28.8%Only GLM 4.6 measured
Terminal-BenchNot measured24.5%Only GLM 4.6 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-Bench2143.2340.8Claude Fable 5.1
LMArena Text: coding15321449Claude Fable 5.1
LMArena Text: software and IT15301455Claude Fable 5.1
LMArena WebDev: React1792Not measuredOnly Claude Fable 5.1 measured
LMArena WebDev: HTML16841350Claude 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 index10
Intelligence benchmarks for Claude Fable 5.1 and GLM 4.6
BenchmarkClaude Fable 5.1GLM 4.6Leader
AA Intelligence Index53.418.5Claude Fable 5.1
Epoch Capabilities Index166.5Not measuredOnly Claude Fable 5.1 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index30
Agentic work benchmarks for Claude Fable 5.1 and GLM 4.6
BenchmarkClaude Fable 5.1GLM 4.6Leader
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 apps13261029Claude Fable 5.1
Design Arena: agents building mobile apps12671096Claude Fable 5.1
Design Arena: agents building Android appsNot measured1090Only GLM 4.6 measured
Design Arena: agents building Godot games13271180Claude 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 measured76.9%Only GLM 4.6 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$5,422Not measuredOnly Claude Fable 5.1 measured
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 index60
Reasoning benchmarks for Claude Fable 5.1 and GLM 4.6
BenchmarkClaude Fable 5.1GLM 4.6Leader
GPQA Diamond93.4%74.5%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%78.0%Claude Fable 5.1
Humanity's Last Exam (Artificial Analysis run)59.1%14.5%Claude Fable 5.1
ARC-AGI97.5%Not measuredOnly Claude Fable 5.1 measured
ARC-AGI-290.0%Not measuredOnly Claude Fable 5.1 measured
Chess puzzles48.0%Not measuredOnly Claude Fable 5.1 measured
Mystery game puzzles58.0%Not measuredOnly Claude Fable 5.1 measured
EBR-bench57.1%Not measuredOnly Claude Fable 5.1 measured
LMArena Text: hard prompts15281440Claude Fable 5.1
LMArena Text: expert15441432Claude Fable 5.1
LMArena Text: hard prompts in English15221445Claude 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 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Claude Fable 5.1 and GLM 4.6
BenchmarkClaude Fable 5.1GLM 4.6Leader
AIMENot measured92.7%Only GLM 4.6 measured
MGSM (Vals AI)Not measured89.8%Only GLM 4.6 measured
AA Math IndexNot measured86.0Only GLM 4.6 measured
AIME 2025 (Artificial Analysis run)Not measured86.0%Only GLM 4.6 measured
OTIS Mock AIME100.0%Not measuredOnly Claude Fable 5.1 measured
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%Not measuredOnly Claude Fable 5.1 measured
LMArena Text: math15311432Claude Fable 5.1
LMArena Text: mathematical work15411447Claude 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 index70
Knowledge benchmarks for Claude Fable 5.1 and GLM 4.6
BenchmarkClaude Fable 5.1GLM 4.6Leader
MMLU Pro92.4%82.2%Claude Fable 5.1
LegalBench (Vals AI)88.5%79.6%Claude Fable 5.1
CorpFin (Vals AI)Not measured56.8%Only GLM 4.6 measured
TaxEval (Vals AI)76.0%66.2%Claude Fable 5.1
MortgageTax (Vals AI)70.8%Not measuredOnly Claude Fable 5.1 measured
MedQA (Vals AI)Not measured92.2%Only GLM 4.6 measured
MedCode (Vals AI)53.5%Not measuredOnly Claude Fable 5.1 measured
MMLU Pro (Artificial Analysis run)Not measured82.9%Only GLM 4.6 measured
SimpleQA Verified70.8%Not measuredOnly Claude Fable 5.1 measured
LMArena Text: science15321456Claude Fable 5.1
LMArena Text: medicine and healthcare15311455Claude Fable 5.1
LMArena Text: legal and government15141448Claude Fable 5.1
LMArena Text: business and finance14931416Claude Fable 5.1
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for Claude Fable 5.1 and GLM 4.6
BenchmarkClaude Fable 5.1GLM 4.6Leader
Design Arena: websites13131174Claude Fable 5.1
Design Arena: UI components13381147Claude Fable 5.1
Design Arena: game dev13821151Claude Fable 5.1
Design Arena: data viz13441161Claude Fable 5.1
Design Arena: 3D13931129Claude Fable 5.1
Design Arena: all code categories13361166Claude Fable 5.1
Design Arena: SVG13011108Claude Fable 5.1
Design Arena: ASCII art1324Not measuredOnly Claude Fable 5.1 measured
LiveBench design83.4%Not measuredOnly Claude Fable 5.1 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index180
General benchmarks for Claude Fable 5.1 and GLM 4.6
BenchmarkClaude Fable 5.1GLM 4.6Leader
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%Not measuredOnly Claude Fable 5.1 measured
IFBenchNot measured43.4%Only GLM 4.6 measured
Long context reasoning (AA-LCR)85.3%54.0%Claude Fable 5.1
DTBench97.6%Not measuredOnly Claude Fable 5.1 measured
LMCA65.5%Not measuredOnly Claude Fable 5.1 measured
Furniture assembly70.0%Not measuredOnly Claude Fable 5.1 measured
LMArena Text15121440Claude Fable 5.1
LMArena Text: instruction following15181410Claude Fable 5.1
LMArena Text: creative writing15091412Claude Fable 5.1
LMArena Vision1319Not measuredOnly Claude Fable 5.1 measured
LMArena Text: English15061449Claude Fable 5.1
LMArena Text: non-English15081426Claude Fable 5.1
LMArena Text: Chinese15841499Claude Fable 5.1
LMArena Text: German14991447Claude Fable 5.1
LMArena Text: Japanese15621393Claude Fable 5.1
LMArena Text: Korean15171400Claude Fable 5.1
LMArena Text: French15231459Claude Fable 5.1
LMArena Text: Spanish15201436Claude Fable 5.1
LMArena Text: Russian15201418Claude Fable 5.1
LMArena Text: Polish15251447Claude Fable 5.1
LMArena Text: multi-turn14931427Claude Fable 5.1
LMArena Text: longer queries15241422Claude Fable 5.1
LMArena Text: writing and language15101415Claude Fable 5.1
LMArena Text: entertainment and media14971409Claude 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 14 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 4.6
BenchmarkClaude Fable 5.1GLM 4.6Leader
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 4.6$0.0016Fits in one request

GLM 4.6 costs less

Repository review

50K input + 3K output tokens

Claude Fable 5.1$0.650Fits in one request
GLM 4.6$0.034Fits in one request

GLM 4.6 costs less

Agent loop

200K input + 10K output tokens

Claude Fable 5.1$2.50Fits in one request
GLM 4.6$0.132Exceeds the context window

GLM 4.6 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 4.6
SpecificationAnthropic Claude Fable 5.1Z.ai GLM 4.6
MakerAnthropicZ.ai
WeightsNo public weights listedOpen weights
ReleasedSeptember 1, 2026September 30, 2025
Context window1M205K
Input $/Mtok$10.00$0.55
Output $/Mtok$50.00$2.20
Coding index89.152.2
Independent measurements behind it22
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Fable 5.1 better than GLM 4.6 for coding?

Pick Claude Fable 5.1 for coding: it scores 89.1 on the Vibe Coding Index against 52.2 for GLM 4.6. Pick GLM 4.6 when output tokens cost 22.7x less.

Which is cheaper, Claude Fable 5.1 or GLM 4.6?

Claude Fable 5.1 costs $10.00 per million input tokens and $50.00 per million output tokens; GLM 4.6 costs $0.55 and $2.20. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Fable 5.1 or GLM 4.6?

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

How many benchmarks is the Claude Fable 5.1 vs GLM 4.6 comparison based on?

52 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 4.6's on 2. Where only one model has a result, the page says so instead of naming a winner.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/claude-fable-5-1-vs-glm-4-6" title="Claude Fable 5.1 vs GLM 4.6, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/claude-fable-5-1-vs-glm-4-6">LLMBenchmark.ai, Claude Fable 5.1 vs GLM 4.6</a></p>