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Claude Fable 5 vs GLM 5

Claude Fable 5 leads GLM 5 on coding, 79.3 to 41.7 on the Vibe Coding Index, and GLM 5 costs 15.6x less per output token ($3.20 vs $50.00 per million). Updated October 22, 2026; 69 benchmarks have a result for both.

Replace Claude Fable 5 Replace GLM 5
Claude Fable 5Anthropic
Coding
79.3
Overall
79.0
Output $/M
$50.00
67
GLM 5Z.ai
Coding
41.7
Overall
54.3
Output $/M
$3.20
2
vs boards won of 69 shared

Claude Fable 5 or GLM 5: which to pick

Pick Claude Fable 5 for coding: it scores 79.3 on the Vibe Coding Index against 41.7 for GLM 5.

Pick GLM 5 for output tokens 15.6x cheaper ($3.20 vs $50.00 per million) and a lower cost per solved task ($0.63 against $2.16).

Model AClaude Fable 5Anthropic79.3/1006 independent benchmarks$2.16 per solved taskModel BGLM 5Z.ai41.7/1003 independent benchmarks$0.63 per solved task
Shared results
69
Claude Fable 5 only
58
GLM 5 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 79.3 from 6 benchmarks, GLM 5 41.7 from 3 benchmarks.
Widest category
Coding, 27.6 points apart on average over 11 shared benchmarks.
Widest single gap
ARC-AGI-2: Claude Fable 5 89.2% against GLM 5 4.9%, 84.3 points apart on a 0 to 100 scale.
Output price
Claude Fable 5 $50.00 against GLM 5 $3.20 per million output tokens, 15.6x apart.
Context window
Claude Fable 5 takes 1M tokens, GLM 5 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 5BarsGLM 5Ties
Coding110
Intelligence20
Agentic work70
Reasoning101
Math30
Knowledge80
Web design80
General181
All shared boards672
CodingLike-for-likeSix of these boards feed the Vibe Coding Index110
Coding benchmarks for Claude Fable 5 and GLM 5
BenchmarkClaude Fable 5GLM 5Leader
SWE-bench VerifiedNot measured72.8%Only GLM 5 measured
SWE-bench MultilingualNot measured69.7%Only GLM 5 measured
LiveBench coding98.3%Not measuredOnly Claude Fable 5 measured
LMArena WebDev16241435Claude Fable 5
AA Coding Index76.5Not measuredOnly Claude Fable 5 measured
LiveCodeBench (Vals AI)89.8%81.9%Claude Fable 5
SWE-bench Verified (Vals AI)95.0%71.4%Claude Fable 5
Terminal-Bench 4 (Vals AI)41.4%Not measuredOnly Claude Fable 5 measured
Vibe Code Bench (Vals AI)90.3%23.4%Claude Fable 5
Code migration (Vals AI)55.1%Not measuredOnly Claude Fable 5 measured
ProgramBench (Vals AI)2.0%Not measuredOnly Claude Fable 5 measured
Terminal-Bench 2.1 (Vals AI)80.5%Not measuredOnly Claude Fable 5 measured
SciCode61.0%Not measuredOnly Claude Fable 5 measured
Terminal-Bench Hard (Artificial Analysis run)62.9%43.2%Claude Fable 5
Terminal-BenchNot measured52.4%Only GLM 5 measured
FrontierCode53.5%Not measuredOnly Claude Fable 5 measured
FrontierSWE47.0%Not measuredOnly Claude Fable 5 measured
GSO-Bench78.4%Not measuredOnly Claude Fable 5 measured
WeirdML91.9%48.2%Claude Fable 5
MirrorCode63.9%Not measuredOnly Claude Fable 5 measured
ALE-Bench2041.3765.6Claude Fable 5
LMArena Text: coding15181461Claude Fable 5
LMArena Text: software and IT15131460Claude Fable 5
LMArena WebDev: React16311424Claude Fable 5
LMArena WebDev: HTML16511450Claude Fable 5
LMArena WebDev: from an image1623Not measuredOnly Claude Fable 5 measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Fable 5 and GLM 5
BenchmarkClaude Fable 5GLM 5Leader
AA Intelligence Index49.627.9Claude Fable 5
Epoch Capabilities Index163.4145.8Claude Fable 5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index70
Agentic work benchmarks for Claude Fable 5 and GLM 5
BenchmarkClaude Fable 5GLM 5Leader
AA Agentic Index50.7Not measuredOnly Claude Fable 5 measured
Design Arena: agents building web apps1261Not measuredOnly Claude Fable 5 measured
Design Arena: agents building full-stack apps12801123Claude Fable 5
Design Arena: agents building mobile apps12641136Claude Fable 5
Design Arena: agents building Android apps12841147Claude Fable 5
Design Arena: agents building Godot games12921144Claude Fable 5
Design Arena: agents building games1285Not measuredOnly Claude Fable 5 measured
Design Arena: HTML slides12271098Claude Fable 5
Design Arena: PowerPoint slides1270Not measuredOnly Claude Fable 5 measured
LiveBench research86.9%Not measuredOnly Claude Fable 5 measured
LiveBench browser92.0%Not measuredOnly Claude Fable 5 measured
LiveBench long agentic53.2%Not measuredOnly Claude Fable 5 measured
Finance Agent (Vals AI)56.3%Not measuredOnly Claude Fable 5 measured
Tax Agent Bench (Vals AI)38.3%Not measuredOnly Claude Fable 5 measured
Legal Research Bench (Vals AI)49.5%Not measuredOnly Claude Fable 5 measured
Excel Modeling Benchmark (Vals AI)73.7%Not measuredOnly Claude Fable 5 measured
Terminal-Bench-Science (Vals AI)15.7%Not measuredOnly Claude Fable 5 measured
τ²-Bench Telecom98.5%98.2%Claude Fable 5
APEX-Agents63.6%Not measuredOnly Claude Fable 5 measured
Remote Labor Index16.1%Not measuredOnly Claude Fable 5 measured
PostTrainBench41.8%Not measuredOnly Claude Fable 5 measured
Vending-Bench 2$5,680$4,432Claude Fable 5
LMArena Search1229Not measuredOnly Claude Fable 5 measured
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index101
Reasoning benchmarks for Claude Fable 5 and GLM 5
BenchmarkClaude Fable 5GLM 5Leader
GPQA Diamond93.2%83.3%Claude Fable 5
LiveBench reasoning89.7%Not measuredOnly Claude Fable 5 measured
MMMU Pro (Vals AI)89.3%Not measuredOnly Claude Fable 5 measured
GPQA Diamond (Artificial Analysis run)92.6%82.0%Claude Fable 5
Humanity's Last Exam (Artificial Analysis run)55.5%29.3%Claude Fable 5
GPQA Diamond (Epoch AI run)85.9%87.8%GLM 5
ARC-AGI98.5%44.7%Claude Fable 5
ARC-AGI-289.2%4.9%Claude Fable 5
SimpleBench81.9%53.2%Claude Fable 5
Chess puzzles47.0%Not measuredOnly Claude Fable 5 measured
Mystery game puzzles52.0%Not measuredOnly Claude Fable 5 measured
EBR-bench39.5%Not measuredOnly Claude Fable 5 measured
LMArena Text: hard prompts15071452Claude Fable 5
LMArena Text: expert15341454Claude Fable 5
LMArena Text: hard prompts in English15091460Claude Fable 5
LMArena Vision: diagrams1357Not measuredOnly Claude Fable 5 measured
LMArena Vision: homework1361Not measuredOnly Claude Fable 5 measured
Kagi LLM Benchmark91.4%75.0%Claude Fable 5
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Fable 5 and GLM 5
BenchmarkClaude Fable 5GLM 5Leader
AIMENot measured91.7%Only GLM 5 measured
OTIS Mock AIME100.0%80.0%Claude Fable 5
FrontierMath, tiers 1 to 387.0%Not measuredOnly Claude Fable 5 measured
FrontierMath, tier 490.2%Not measuredOnly Claude Fable 5 measured
ProofBench95.0%Not measuredOnly Claude Fable 5 measured
LMArena Text: math15161440Claude Fable 5
LMArena Text: mathematical work15151451Claude Fable 5
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index80
Knowledge benchmarks for Claude Fable 5 and GLM 5
BenchmarkClaude Fable 5GLM 5Leader
MMLU Pro91.5%86.0%Claude Fable 5
LegalBench (Vals AI)88.6%84.1%Claude Fable 5
CaseLaw (Vals AI)Not measured52.5%Only GLM 5 measured
CorpFin (Vals AI)71.8%62.9%Claude Fable 5
TaxEval (Vals AI)76.9%70.0%Claude Fable 5
MortgageTax (Vals AI)68.9%Not measuredOnly Claude Fable 5 measured
MedQA (Vals AI)Not measured94.3%Only GLM 5 measured
MedCode (Vals AI)56.1%Not measuredOnly Claude Fable 5 measured
SimpleQA Verified70.7%Not measuredOnly Claude Fable 5 measured
LMArena Text: science15061460Claude Fable 5
LMArena Text: medicine and healthcare14801455Claude Fable 5
LMArena Text: legal and government14981453Claude Fable 5
LMArena Text: business and finance14801430Claude Fable 5
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Claude Fable 5 and GLM 5
BenchmarkClaude Fable 5GLM 5Leader
Design Arena: websites12951247Claude Fable 5
Design Arena: UI components13161227Claude Fable 5
Design Arena: game dev13351234Claude Fable 5
Design Arena: data viz13041228Claude Fable 5
Design Arena: 3D13181228Claude Fable 5
Design Arena: all code categories13101246Claude Fable 5
Design Arena: SVG13021168Claude Fable 5
Design Arena: ASCII art13291147Claude Fable 5
LiveBench design84.7%Not measuredOnly Claude Fable 5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index181
General benchmarks for Claude Fable 5 and GLM 5
BenchmarkClaude Fable 5GLM 5Leader
LiveBench data analysis80.5%Not measuredOnly Claude Fable 5 measured
Public Benefits Bench (Vals AI)70.4%Not measuredOnly Claude Fable 5 measured
SAGE (Vals AI)51.9%Not measuredOnly Claude Fable 5 measured
MedScribe (Vals AI)88.5%Not measuredOnly Claude Fable 5 measured
Vals Multimodal Index74.2%Not measuredOnly Claude Fable 5 measured
IFBench63.5%72.3%GLM 5
Long context reasoning (AA-LCR)82.3%75.7%Claude Fable 5
DTBench98.4%Not measuredOnly Claude Fable 5 measured
LMCA61.2%Not measuredOnly Claude Fable 5 measured
CL-benchNot measured18.7%Only GLM 5 measured
Surface Evolver Bench95.0%Not measuredOnly Claude Fable 5 measured
Furniture assembly35.8%Not measuredOnly Claude Fable 5 measured
LMArena Text14911446Claude Fable 5
LMArena Text: instruction following15021428Claude Fable 5
LMArena Text: creative writing14941438Claude Fable 5
LMArena Vision1325Not measuredOnly Claude Fable 5 measured
LMArena Text: English14981458Claude Fable 5
LMArena Text: non-English14821430Claude Fable 5
LMArena Text: Chinese15431511Claude Fable 5
LMArena Text: German14861447Claude Fable 5
LMArena Text: Japanese15041416Claude Fable 5
LMArena Text: Korean14871423Claude Fable 5
LMArena Text: French15051456Claude Fable 5
LMArena Text: Spanish14981454Claude Fable 5
LMArena Text: Russian15031436Claude Fable 5
LMArena Text: Polish14941434Claude Fable 5
LMArena Text: multi-turn15041456Claude Fable 5
LMArena Text: longer queries15101446Claude Fable 5
LMArena Text: writing and language15011437Claude Fable 5
LMArena Text: entertainment and media14821426Claude Fable 5
LMArena Vision: English1323Not measuredOnly Claude Fable 5 measured
LMArena Vision: Chinese1373Not measuredOnly Claude Fable 5 measured
LMArena Vision: reading text1337Not measuredOnly Claude Fable 5 measured
LMArena Vision: humor1341Not measuredOnly Claude Fable 5 measured
LMArena Vision: creative writing1338Not measuredOnly Claude Fable 5 measured
LMArena Document1496Not measuredOnly Claude Fable 5 measured
Neither model has a result on the other 10 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Fable 5 and GLM 5
BenchmarkClaude Fable 5GLM 5Leader
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$0.035Fits in one request
GLM 5$0.0026Fits in one request

GLM 5 costs less

Repository review

50K input + 3K output tokens

Claude Fable 5$0.650Fits in one request
GLM 5$0.060Fits in one request

GLM 5 costs less

Agent loop

200K input + 10K output tokens

Claude Fable 5$2.50Fits in one request
GLM 5$0.232Exceeds the context window

GLM 5 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 and GLM 5
SpecificationAnthropic Claude Fable 5Z.ai GLM 5
MakerAnthropicZ.ai
WeightsNo public weights listedOpen weights
ReleasedJune 9, 2026February 11, 2026
Context window1M205K
Input $/Mtok$10.00$1.00
Output $/Mtok$50.00$3.20
Coding index79.341.7
Independent measurements behind it63
Cost per solved task$2.16$0.63
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Fable 5 better than GLM 5 for coding?

Pick Claude Fable 5 for coding: it scores 79.3 on the Vibe Coding Index against 41.7 for GLM 5. Pick GLM 5 for output tokens 15.6x cheaper ($3.20 vs $50.00 per million) and a lower cost per solved task ($0.63 against $2.16).

Which is cheaper, Claude Fable 5 or GLM 5?

Claude Fable 5 costs $10.00 per million input tokens and $50.00 per million output tokens; GLM 5 costs $1.00 and $3.20. Per solved SWE-bench Verified task, Claude Fable 5 costs $2.16 and GLM 5 $0.63.

Which has the bigger context window, Claude Fable 5 or GLM 5?

Claude Fable 5, with 1M tokens against 205K.

How many benchmarks is the Claude Fable 5 vs GLM 5 comparison based on?

69 benchmarks have a result for both models as of October 22, 2026. Claude Fable 5's coding index rests on 6 independent benchmarks and GLM 5's on 3. Where only one model has a result, the page says so instead of naming a winner.

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