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Claude Fable 5 vs GLM 4.7 Flash

Claude Fable 5 leads GLM 4.7 Flash on the Artificial Analysis Intelligence Index, 49.6 to 14.9, and GLM 4.7 Flash costs 125.0x less per output token ($0.40 vs $50.00 per million). Updated October 21, 2026; 43 benchmarks have a result for both.

Replace Claude Fable 5 Replace GLM 4.7 Flash
Claude Fable 5Anthropic
Coding
79.3
Overall
49.6
Output $/M
$50.00
42
GLM 4.7 FlashZ.ai
Coding
No data
Overall
14.9
Output $/M
$0.40
1
vs boards won of 43 shared

Claude Fable 5 or GLM 4.7 Flash: which to pick

Only Claude Fable 5 has a coding score, 79.3 on the Vibe Coding Index; GLM 4.7 Flash has none, so the two cannot be ranked on coding.

Pick GLM 4.7 Flash for output tokens 125.0x cheaper ($0.40 vs $50.00 per million) and work measured by τ²-Bench Telecom, where it leads.

Model AClaude Fable 5Anthropic79.3/1006 independent benchmarks$2.16 per solved taskModel BGLM 4.7 FlashZ.aiNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
43
Claude Fable 5 only
83
GLM 4.7 Flash only
0
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 4.7 Flash not benchmarked.
Widest category
Intelligence, 34.7 points apart on average over 1 shared benchmark.
Widest single gap
Humanity's Last Exam (Artificial Analysis run): Claude Fable 5 55.5% against GLM 4.7 Flash 7.6%, 47.9 points apart on a 0 to 100 scale.
Output price
Claude Fable 5 $50.00 against GLM 4.7 Flash $0.40 per million output tokens, 125.0x apart.
Context window
Claude Fable 5 takes 1M tokens, GLM 4.7 Flash 200K.

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 4.7 FlashTies
Coding30
Intelligence10
Agentic work01
Reasoning60
Math30
Knowledge40
Web design70
General180
All shared boards421
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Claude Fable 5 and GLM 4.7 Flash
BenchmarkClaude Fable 5GLM 4.7 FlashLeader
LiveBench coding98.3%Not measuredOnly Claude Fable 5 measured
LMArena WebDev1624Not measuredOnly Claude Fable 5 measured
AA Coding Index76.5Not measuredOnly Claude Fable 5 measured
LiveCodeBench (Vals AI)89.8%Not measuredOnly Claude Fable 5 measured
SWE-bench Verified (Vals AI)95.0%Not measuredOnly Claude Fable 5 measured
Terminal-Bench 4 (Vals AI)41.4%Not measuredOnly Claude Fable 5 measured
Vibe Code Bench (Vals AI)90.3%Not measuredOnly Claude Fable 5 measured
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%22.0%Claude Fable 5
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%Not measuredOnly Claude Fable 5 measured
MirrorCode63.9%Not measuredOnly Claude Fable 5 measured
ALE-Bench2041.3Not measuredOnly Claude Fable 5 measured
LMArena Text: coding15181382Claude Fable 5
LMArena Text: software and IT15131389Claude Fable 5
LMArena WebDev: React1631Not measuredOnly Claude Fable 5 measured
LMArena WebDev: HTML1651Not measuredOnly Claude Fable 5 measured
LMArena WebDev: from an image1623Not measuredOnly Claude Fable 5 measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Fable 5 and GLM 4.7 Flash
BenchmarkClaude Fable 5GLM 4.7 FlashLeader
AA Intelligence Index49.614.9Claude Fable 5
Epoch Capabilities Index163.4Not measuredOnly Claude Fable 5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Claude Fable 5 and GLM 4.7 Flash
BenchmarkClaude Fable 5GLM 4.7 FlashLeader
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 apps1280Not measuredOnly Claude Fable 5 measured
Design Arena: agents building mobile apps1264Not measuredOnly Claude Fable 5 measured
Design Arena: agents building Android apps1283Not measuredOnly Claude Fable 5 measured
Design Arena: agents building Godot games1292Not measuredOnly Claude Fable 5 measured
Design Arena: agents building games1285Not measuredOnly Claude Fable 5 measured
Design Arena: HTML slides1277Not measuredOnly Claude Fable 5 measured
Design Arena: PowerPoint slides1295Not 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%98.8%GLM 4.7 Flash
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$5,680Not measuredOnly Claude Fable 5 measured
LMArena Search1229Not measuredOnly Claude Fable 5 measured
Neither model has a result on the other 16 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Claude Fable 5 and GLM 4.7 Flash
BenchmarkClaude Fable 5GLM 4.7 FlashLeader
GPQA Diamond93.2%Not measuredOnly Claude Fable 5 measured
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%58.1%Claude Fable 5
Humanity's Last Exam (Artificial Analysis run)55.5%7.6%Claude Fable 5
GPQA Diamond (Epoch AI run)85.9%60.5%Claude Fable 5
ARC-AGI98.5%Not measuredOnly Claude Fable 5 measured
ARC-AGI-289.2%Not measuredOnly Claude Fable 5 measured
SimpleBench81.9%Not measuredOnly Claude Fable 5 measured
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 prompts15071356Claude Fable 5
LMArena Text: expert15341357Claude Fable 5
LMArena Text: hard prompts in English15091369Claude Fable 5
LMArena Vision: diagrams1357Not measuredOnly Claude Fable 5 measured
LMArena Vision: homework1361Not measuredOnly Claude Fable 5 measured
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 4.7 Flash
BenchmarkClaude Fable 5GLM 4.7 FlashLeader
OTIS Mock AIME100.0%58.3%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: math15161355Claude Fable 5
LMArena Text: mathematical work15151369Claude Fable 5
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Claude Fable 5 and GLM 4.7 Flash
BenchmarkClaude Fable 5GLM 4.7 FlashLeader
MMLU Pro91.5%Not measuredOnly Claude Fable 5 measured
LegalBench (Vals AI)88.6%Not measuredOnly Claude Fable 5 measured
CorpFin (Vals AI)71.8%Not measuredOnly Claude Fable 5 measured
TaxEval (Vals AI)76.9%Not measuredOnly Claude Fable 5 measured
MortgageTax (Vals AI)68.9%Not measuredOnly Claude Fable 5 measured
MedCode (Vals AI)56.1%Not measuredOnly Claude Fable 5 measured
SimpleQA Verified70.7%Not measuredOnly Claude Fable 5 measured
LMArena Text: science15061358Claude Fable 5
LMArena Text: medicine and healthcare14801343Claude Fable 5
LMArena Text: legal and government14981357Claude Fable 5
LMArena Text: business and finance14801343Claude Fable 5
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for Claude Fable 5 and GLM 4.7 Flash
BenchmarkClaude Fable 5GLM 4.7 FlashLeader
Design Arena: websites12961194Claude Fable 5
Design Arena: UI components13191208Claude Fable 5
Design Arena: game dev13351135Claude Fable 5
Design Arena: data viz13041123Claude Fable 5
Design Arena: 3D13191121Claude Fable 5
Design Arena: all code categories13101178Claude Fable 5
Design Arena: SVG13021038Claude Fable 5
Design Arena: ASCII art1329Not measuredOnly Claude Fable 5 measured
LiveBench design84.7%Not measuredOnly Claude Fable 5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index180
General benchmarks for Claude Fable 5 and GLM 4.7 Flash
BenchmarkClaude Fable 5GLM 4.7 FlashLeader
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%60.8%Claude Fable 5
Long context reasoning (AA-LCR)82.3%41.7%Claude Fable 5
DTBench98.4%Not measuredOnly Claude Fable 5 measured
LMCA61.2%Not measuredOnly Claude Fable 5 measured
Surface Evolver Bench95.0%Not measuredOnly Claude Fable 5 measured
Furniture assembly35.8%Not measuredOnly Claude Fable 5 measured
LMArena Text14911351Claude Fable 5
LMArena Text: instruction following15021327Claude Fable 5
LMArena Text: creative writing14941296Claude Fable 5
LMArena Vision1325Not measuredOnly Claude Fable 5 measured
LMArena Text: English14981373Claude Fable 5
LMArena Text: non-English14821330Claude Fable 5
LMArena Text: Chinese15431403Claude Fable 5
LMArena Text: German14861336Claude Fable 5
LMArena Text: Japanese1504Not measuredOnly Claude Fable 5 measured
LMArena Text: Korean14871283Claude Fable 5
LMArena Text: French15051332Claude Fable 5
LMArena Text: Spanish14981350Claude Fable 5
LMArena Text: Russian15031333Claude Fable 5
LMArena Text: Polish14941291Claude Fable 5
LMArena Text: multi-turn15041342Claude Fable 5
LMArena Text: longer queries15101345Claude Fable 5
LMArena Text: writing and language15011320Claude Fable 5
LMArena Text: entertainment and media14821304Claude 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 11 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 4.7 Flash
BenchmarkClaude Fable 5GLM 4.7 FlashLeader
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 4.7 Flash$0.0003Fits in one request

GLM 4.7 Flash costs less

Repository review

50K input + 3K output tokens

Claude Fable 5$0.650Fits in one request
GLM 4.7 Flash$0.0045Fits in one request

GLM 4.7 Flash costs less

Agent loop

200K input + 10K output tokens

Claude Fable 5$2.50Fits in one request
GLM 4.7 Flash$0.017Exceeds the context window

GLM 4.7 Flash 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 4.7 Flash
SpecificationAnthropic Claude Fable 5Z.ai GLM 4.7 Flash
MakerAnthropicZ.ai
WeightsNo public weights listedOpen weights
ReleasedJune 9, 2026January 19, 2026
Context window1M200K
Input $/Mtok$10.00$0.0653
Output $/Mtok$50.00$0.40
Coding index79.3Not benchmarked
Independent measurements behind it60
Cost per solved task$2.16Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Fable 5 better than GLM 4.7 Flash for coding?

Only Claude Fable 5 has a coding score, 79.3 on the Vibe Coding Index; GLM 4.7 Flash has none, so the two cannot be ranked on coding. Pick GLM 4.7 Flash for output tokens 125.0x cheaper ($0.40 vs $50.00 per million) and work measured by τ²-Bench Telecom, where it leads.

Which is cheaper, Claude Fable 5 or GLM 4.7 Flash?

Claude Fable 5 costs $10.00 per million input tokens and $50.00 per million output tokens; GLM 4.7 Flash costs $0.0653 and $0.40. Cost per solved task is known for Claude Fable 5 only.

Which has the bigger context window, Claude Fable 5 or GLM 4.7 Flash?

Claude Fable 5, with 1M tokens against 200K.

How many benchmarks is the Claude Fable 5 vs GLM 4.7 Flash comparison based on?

43 benchmarks have a result for both models as of October 21, 2026. Claude Fable 5's coding index rests on 6 independent benchmarks and GLM 4.7 Flash's on 0. Where only one model has a result, the page says so instead of naming a winner.

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