Enter opens the highlighted result. Esc closes.

Claude Fable 5.1 vs GLM 4.7 Flash

Claude Fable 5.1 leads GLM 4.7 Flash on the Artificial Analysis Intelligence Index, 53.4 to 14.9, and GLM 4.7 Flash costs 125.0x less per output token ($0.40 vs $50.00 per million). Updated October 22, 2026; 39 benchmarks have a result for both.

Claude Fable 5.1Anthropic
Coding
84.2
Overall
84.7
Output $/M
$50.00
39
GLM 4.7 FlashZ.ai
Coding
No data
Overall
42.1
Output $/M
$0.40
0
vs boards won of 39 shared

Claude Fable 5.1 or GLM 4.7 Flash: which to pick

Only Claude Fable 5.1 has a coding score, 84.2 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).

Shared results
39
Claude Fable 5.1 only
85
GLM 4.7 Flash only
4
Like-for-like categories
7 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 5.1 84.2 from 5 benchmarks, GLM 4.7 Flash not benchmarked.
Widest category
Intelligence, 38.5 points apart on average over 1 shared benchmark.
Widest single gap
Humanity's Last Exam (Artificial Analysis run): Claude Fable 5.1 59.1% against GLM 4.7 Flash 7.6%, 51.5 points apart on a 0 to 100 scale.
Output price
Claude Fable 5.1 $50.00 against GLM 4.7 Flash $0.40 per million output tokens, 125.0x apart.
Context window
Claude Fable 5.1 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 5.1BarsGLM 4.7 FlashTies
Coding20
Intelligence10
Reasoning50
Math30
Knowledge40
Web design70
General170
All shared boards390
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Claude Fable 5.1 and GLM 4.7 Flash
BenchmarkClaude Fable 5.1GLM 4.7 FlashLeader
LiveBench coding97.7%Not measuredOnly Claude Fable 5.1 measured
LMArena WebDev1743Not measuredOnly Claude Fable 5.1 measured
AA Coding Index81.6Not measuredOnly Claude Fable 5.1 measured
LiveCodeBench (Vals AI)90.5%Not measuredOnly Claude Fable 5.1 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
SciCode63.1%Not measuredOnly Claude Fable 5.1 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured22.0%Only GLM 4.7 Flash 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-Bench2143.2Not measuredOnly Claude Fable 5.1 measured
LMArena Text: coding15321382Claude Fable 5.1
LMArena Text: software and IT15301389Claude Fable 5.1
LMArena WebDev: React1792Not measuredOnly Claude Fable 5.1 measured
LMArena WebDev: HTML1684Not measuredOnly Claude Fable 5.1 measured
LMArena WebDev: from an image1722Not measuredOnly Claude Fable 5.1 measured
Neither model has a result on the other 12 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Fable 5.1 and GLM 4.7 Flash
BenchmarkClaude Fable 5.1GLM 4.7 FlashLeader
AA Intelligence Index53.414.9Claude Fable 5.1
Epoch Capabilities Index166.5Not measuredOnly Claude Fable 5.1 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index25 boards, none shared
Agentic work benchmarks for Claude Fable 5.1 and GLM 4.7 Flash
BenchmarkClaude Fable 5.1GLM 4.7 FlashLeader
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 apps1326Not measuredOnly Claude Fable 5.1 measured
Design Arena: agents building mobile apps1267Not measuredOnly Claude Fable 5.1 measured
Design Arena: agents building Godot games1327Not measuredOnly Claude Fable 5.1 measured
Design Arena: PowerPoint slides1305Not measuredOnly Claude Fable 5.1 measured
Design Arena: spreadsheets1380Not 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 measured98.8%Only GLM 4.7 Flash 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 16 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Claude Fable 5.1 and GLM 4.7 Flash
BenchmarkClaude Fable 5.1GLM 4.7 FlashLeader
GPQA Diamond93.4%Not measuredOnly Claude Fable 5.1 measured
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%58.1%Claude Fable 5.1
Humanity's Last Exam (Artificial Analysis run)59.1%7.6%Claude Fable 5.1
GPQA Diamond (Epoch AI run)Not measured60.5%Only GLM 4.7 Flash measured
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 prompts15281356Claude Fable 5.1
LMArena Text: expert15441357Claude Fable 5.1
LMArena Text: hard prompts in English15221369Claude 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 index30
Math benchmarks for Claude Fable 5.1 and GLM 4.7 Flash
BenchmarkClaude Fable 5.1GLM 4.7 FlashLeader
OTIS Mock AIME100.0%58.3%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%Not measuredOnly Claude Fable 5.1 measured
LMArena Text: math15311355Claude Fable 5.1
LMArena Text: mathematical work15411369Claude Fable 5.1
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 5.1 and GLM 4.7 Flash
BenchmarkClaude Fable 5.1GLM 4.7 FlashLeader
MMLU Pro92.4%Not measuredOnly Claude Fable 5.1 measured
LegalBench (Vals AI)88.5%Not measuredOnly Claude Fable 5.1 measured
TaxEval (Vals AI)76.0%Not measuredOnly Claude Fable 5.1 measured
MortgageTax (Vals AI)70.8%Not measuredOnly Claude Fable 5.1 measured
MedCode (Vals AI)53.5%Not measuredOnly Claude Fable 5.1 measured
SimpleQA Verified70.8%Not measuredOnly Claude Fable 5.1 measured
LMArena Text: science15321358Claude Fable 5.1
LMArena Text: medicine and healthcare15311343Claude Fable 5.1
LMArena Text: legal and government15141357Claude Fable 5.1
LMArena Text: business and finance14931343Claude Fable 5.1
Neither model has a result on the other 8 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 4.7 Flash
BenchmarkClaude Fable 5.1GLM 4.7 FlashLeader
Design Arena: websites13121194Claude Fable 5.1
Design Arena: UI components13361205Claude Fable 5.1
Design Arena: game dev13811134Claude Fable 5.1
Design Arena: data viz13441123Claude Fable 5.1
Design Arena: 3D13921120Claude Fable 5.1
Design Arena: all code categories13351177Claude Fable 5.1
Design Arena: SVG13001037Claude Fable 5.1
Design Arena: ASCII art1323Not 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 index170
General benchmarks for Claude Fable 5.1 and GLM 4.7 Flash
BenchmarkClaude Fable 5.1GLM 4.7 FlashLeader
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 measured60.8%Only GLM 4.7 Flash measured
Long context reasoning (AA-LCR)85.3%41.7%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 Text15121351Claude Fable 5.1
LMArena Text: instruction following15181327Claude Fable 5.1
LMArena Text: creative writing15091296Claude Fable 5.1
LMArena Vision1319Not measuredOnly Claude Fable 5.1 measured
LMArena Text: English15061373Claude Fable 5.1
LMArena Text: non-English15081330Claude Fable 5.1
LMArena Text: Chinese15841403Claude Fable 5.1
LMArena Text: German14991336Claude Fable 5.1
LMArena Text: Japanese1562Not measuredOnly Claude Fable 5.1 measured
LMArena Text: Korean15171283Claude Fable 5.1
LMArena Text: French15231332Claude Fable 5.1
LMArena Text: Spanish15201350Claude Fable 5.1
LMArena Text: Russian15201333Claude Fable 5.1
LMArena Text: Polish15251291Claude Fable 5.1
LMArena Text: multi-turn14931342Claude Fable 5.1
LMArena Text: longer queries15241345Claude Fable 5.1
LMArena Text: writing and language15101320Claude Fable 5.1
LMArena Text: entertainment and media14971304Claude 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 4.7 Flash
BenchmarkClaude Fable 5.1GLM 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 5.1$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 5.1$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 5.1$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 5.1 and GLM 4.7 Flash
SpecificationAnthropic Claude Fable 5.1Z.ai GLM 4.7 Flash
MakerAnthropicZ.ai
WeightsNo public weights listedOpen weights
ReleasedSeptember 1, 2026January 19, 2026
Context window1M200K
Input $/Mtok$10.00$0.0653
Output $/Mtok$50.00$0.40
Coding index84.2Not benchmarked
Independent measurements behind it50
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Fable 5.1 better than GLM 4.7 Flash for coding?

Only Claude Fable 5.1 has a coding score, 84.2 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).

Which is cheaper, Claude Fable 5.1 or GLM 4.7 Flash?

Claude Fable 5.1 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 neither of them.

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

Claude Fable 5.1, with 1M tokens against 200K.

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

39 benchmarks have a result for both models as of October 22, 2026. Claude Fable 5.1's coding index rests on 5 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.

Compare next