Claude Fable 5 vs GLM 4.7
Claude Fable 5 leads GLM 4.7 on coding, 79.3 to 55.1 on the Vibe Coding Index, and GLM 4.7 costs 22.7x less per output token ($2.20 vs $50.00 per million). Updated October 21, 2026; 69 benchmarks have a result for both.
Claude Fable 5 or GLM 4.7: which to pick
Pick Claude Fable 5 for coding: it scores 79.3 on the Vibe Coding Index against 55.1 for GLM 4.7.
Pick GLM 4.7 for output tokens 22.7x cheaper ($2.20 vs $50.00 per million) and a lower cost per solved task ($0.29 against $2.16).
- Shared results
- 69
- Claude Fable 5 only
- 58
- GLM 4.7 only
- 12
- 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.
Coding
Vibe Coding Index, six public coding benchmarks
Claude Fable 5
Claude Fable 5 scores 79.3 against 55.1.
6 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
Claude Fable 5
Claude Fable 5 leads, 49.6 against 22.2.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Claude Fable 5 has a AA Agentic Index result, 50.7.
Directional only
Reasoning
GPQA Diamond
Claude Fable 5
Claude Fable 5 leads, 93.2% against 80.0%.
Same board, both measured
Math
AIME
No call
Only GLM 4.7 has a AIME result, 93.3%.
Directional only
Knowledge
MMLU Pro
Claude Fable 5
Claude Fable 5 leads, 91.5% against 82.7%.
Same board, both measured
Web design
Design Arena: websites
Claude Fable 5
Claude Fable 5 leads, 1296 against 1226.
Same board, both measured
Long documents
Listed context window
Claude Fable 5
Claude Fable 5 takes 1M tokens against 205K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GLM 4.7
Claude Fable 5 $0.035, GLM 4.7 $0.0017 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GLM 4.7
Claude Fable 5 $2.16, GLM 4.7 $0.29.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Fable 5 79.3 from 6 benchmarks, GLM 4.7 55.1 from 2 benchmarks.
- Widest category
- Math, 34.6 points apart on average over 4 shared benchmarks.
- Widest single gap
- ProofBench: Claude Fable 5 95.0% against GLM 4.7 6.0%, 89.0 points apart on a 0 to 100 scale.
- Output price
- Claude Fable 5 $50.00 against GLM 4.7 $2.20 per million output tokens, 22.7x apart.
- Context window
- Claude Fable 5 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.
| Category | Claude Fable 5 | Bars | GLM 4.7 | Ties |
|---|---|---|---|---|
| Coding | 10 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 6 | 0 | ||
| Reasoning | 9 | 0 | ||
| Math | 4 | 0 | ||
| Knowledge | 10 | 0 | ||
| Web design | 8 | 0 | ||
| General | 19 | 1 | ||
| All shared boards | 68 | 1 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index100
| Benchmark | Claude Fable 5 | GLM 4.7 | Leader |
|---|---|---|---|
| LiveBench coding | 98.3% | Not measured | Only Claude Fable 5 measured |
| LMArena WebDev | 1624 | 1435 | Claude Fable 5 |
| AA Coding Index | 76.5 | 45.3 | Claude Fable 5 |
| LiveCodeBench (Vals AI) | 89.8% | 82.2% | Claude Fable 5 |
| SWE-bench Verified (Vals AI) | 95.0% | 69.4% | Claude Fable 5 |
| Terminal-Bench 4 (Vals AI) | 41.4% | Not measured | Only Claude Fable 5 measured |
| Vibe Code Bench (Vals AI) | 90.3% | Not measured | Only Claude Fable 5 measured |
| Code migration (Vals AI) | 55.1% | Not measured | Only Claude Fable 5 measured |
| ProgramBench (Vals AI) | 2.0% | Not measured | Only Claude Fable 5 measured |
| Terminal-Bench 2.1 (Vals AI) | 80.5% | Not measured | Only Claude Fable 5 measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 89.4% | Only GLM 4.7 measured |
| SciCode | 61.0% | Not measured | Only Claude Fable 5 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 62.9% | 31.8% | Claude Fable 5 |
| Terminal-Bench | Not measured | 33.4% | Only GLM 4.7 measured |
| FrontierCode | 53.5% | Not measured | Only Claude Fable 5 measured |
| FrontierSWE | 47.0% | Not measured | Only Claude Fable 5 measured |
| GSO-Bench | 78.4% | Not measured | Only Claude Fable 5 measured |
| WeirdML | 91.9% | Not measured | Only Claude Fable 5 measured |
| MirrorCode | 63.9% | Not measured | Only Claude Fable 5 measured |
| ALE-Bench | 2041.3 | 399.5 | Claude Fable 5 |
| LMArena Text: coding | 1518 | 1454 | Claude Fable 5 |
| LMArena Text: software and IT | 1513 | 1453 | Claude Fable 5 |
| LMArena WebDev: React | 1631 | 1420 | Claude Fable 5 |
| LMArena WebDev: HTML | 1651 | 1447 | Claude Fable 5 |
| LMArena WebDev: from an image | 1623 | Not measured | Only Claude Fable 5 measured |
| Neither model has a result on the other 14 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Fable 5 | GLM 4.7 | Leader |
|---|---|---|---|
| AA Intelligence Index | 49.6 | 22.2 | Claude Fable 5 |
| Epoch Capabilities Index | 163.4 | 143.6 | Claude Fable 5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Claude Fable 5 | GLM 4.7 | Leader |
|---|---|---|---|
| AA Agentic Index | 50.7 | Not measured | Only Claude Fable 5 measured |
| Design Arena: agents building web apps | 1261 | Not measured | Only Claude Fable 5 measured |
| Design Arena: agents building full-stack apps | 1280 | 1050 | Claude Fable 5 |
| Design Arena: agents building mobile apps | 1264 | 1105 | Claude Fable 5 |
| Design Arena: agents building Android apps | 1283 | 1112 | Claude Fable 5 |
| Design Arena: agents building Godot games | 1292 | 1058 | Claude Fable 5 |
| Design Arena: agents building games | 1285 | Not measured | Only Claude Fable 5 measured |
| Design Arena: HTML slides | 1277 | Not measured | Only Claude Fable 5 measured |
| Design Arena: PowerPoint slides | 1295 | Not measured | Only Claude Fable 5 measured |
| LiveBench research | 86.9% | Not measured | Only Claude Fable 5 measured |
| LiveBench browser | 92.0% | Not measured | Only Claude Fable 5 measured |
| LiveBench long agentic | 53.2% | Not measured | Only Claude Fable 5 measured |
| Finance Agent (Vals AI) | 56.3% | Not measured | Only Claude Fable 5 measured |
| Tax Agent Bench (Vals AI) | 38.3% | Not measured | Only Claude Fable 5 measured |
| Legal Research Bench (Vals AI) | 49.5% | Not measured | Only Claude Fable 5 measured |
| Excel Modeling Benchmark (Vals AI) | 73.7% | Not measured | Only Claude Fable 5 measured |
| Terminal-Bench-Science (Vals AI) | 15.7% | Not measured | Only Claude Fable 5 measured |
| τ²-Bench Telecom | 98.5% | 95.9% | Claude Fable 5 |
| APEX-Agents | 63.6% | Not measured | Only Claude Fable 5 measured |
| Remote Labor Index | 16.1% | Not measured | Only Claude Fable 5 measured |
| PostTrainBench | 41.8% | Not measured | Only Claude Fable 5 measured |
| Vending-Bench 2 | $5,680 | $2,377 | Claude Fable 5 |
| LMArena Search | 1229 | Not measured | Only Claude Fable 5 measured |
| BrowseComp-Plus | Not measured | 64.7% | Only GLM 4.7 measured |
| Neither model has a result on the other 17 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
| Benchmark | Claude Fable 5 | GLM 4.7 | Leader |
|---|---|---|---|
| GPQA Diamond | 93.2% | 80.0% | Claude Fable 5 |
| LiveBench reasoning | 89.7% | Not measured | Only Claude Fable 5 measured |
| MMMU Pro (Vals AI) | 89.3% | Not measured | Only Claude Fable 5 measured |
| GPQA Diamond (Artificial Analysis run) | 92.6% | 85.9% | Claude Fable 5 |
| Humanity's Last Exam (Artificial Analysis run) | 55.5% | 27.4% | Claude Fable 5 |
| GPQA Diamond (Epoch AI run) | 85.9% | 83.3% | Claude Fable 5 |
| ARC-AGI | 98.5% | Not measured | Only Claude Fable 5 measured |
| ARC-AGI-2 | 89.2% | Not measured | Only Claude Fable 5 measured |
| SimpleBench | 81.9% | 47.7% | Claude Fable 5 |
| Chess puzzles | 47.0% | 21.0% | Claude Fable 5 |
| Mystery game puzzles | 52.0% | Not measured | Only Claude Fable 5 measured |
| EBR-bench | 39.5% | Not measured | Only Claude Fable 5 measured |
| LMArena Text: hard prompts | 1507 | 1443 | Claude Fable 5 |
| LMArena Text: expert | 1534 | 1424 | Claude Fable 5 |
| LMArena Text: hard prompts in English | 1509 | 1452 | Claude Fable 5 |
| LMArena Vision: diagrams | 1357 | Not measured | Only Claude Fable 5 measured |
| LMArena Vision: homework | 1361 | Not measured | Only Claude Fable 5 measured |
| Kagi LLM Benchmark | 91.4% | Not measured | Only 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 index40
| Benchmark | Claude Fable 5 | GLM 4.7 | Leader |
|---|---|---|---|
| AIME | Not measured | 93.3% | Only GLM 4.7 measured |
| MGSM (Vals AI) | Not measured | 88.2% | Only GLM 4.7 measured |
| AA Math Index | Not measured | 95.0 | Only GLM 4.7 measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 95.0% | Only GLM 4.7 measured |
| OTIS Mock AIME | 100.0% | 83.3% | Claude Fable 5 |
| FrontierMath, tiers 1 to 3 | 87.0% | Not measured | Only Claude Fable 5 measured |
| FrontierMath, tier 4 | 90.2% | Not measured | Only Claude Fable 5 measured |
| ProofBench | 95.0% | 6.0% | Claude Fable 5 |
| LMArena Text: math | 1516 | 1424 | Claude Fable 5 |
| LMArena Text: mathematical work | 1515 | 1411 | Claude Fable 5 |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index100
| Benchmark | Claude Fable 5 | GLM 4.7 | Leader |
|---|---|---|---|
| MMLU Pro | 91.5% | 82.7% | Claude Fable 5 |
| LegalBench (Vals AI) | 88.6% | 83.4% | Claude Fable 5 |
| CaseLaw (Vals AI) | Not measured | 54.9% | Only GLM 4.7 measured |
| CorpFin (Vals AI) | 71.8% | 46.4% | Claude Fable 5 |
| TaxEval (Vals AI) | 76.9% | 68.8% | Claude Fable 5 |
| MortgageTax (Vals AI) | 68.9% | Not measured | Only Claude Fable 5 measured |
| MedQA (Vals AI) | Not measured | 93.7% | Only GLM 4.7 measured |
| MedCode (Vals AI) | 56.1% | 32.8% | Claude Fable 5 |
| MMLU Pro (Artificial Analysis run) | Not measured | 85.6% | Only GLM 4.7 measured |
| SimpleQA Verified | 70.7% | 32.2% | Claude Fable 5 |
| LMArena Text: science | 1506 | 1457 | Claude Fable 5 |
| LMArena Text: medicine and healthcare | 1480 | 1469 | Claude Fable 5 |
| LMArena Text: legal and government | 1498 | 1444 | Claude Fable 5 |
| LMArena Text: business and finance | 1480 | 1429 | Claude Fable 5 |
| Neither model has a result on the other 4 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Claude Fable 5 | GLM 4.7 | Leader |
|---|---|---|---|
| Design Arena: websites | 1296 | 1226 | Claude Fable 5 |
| Design Arena: UI components | 1319 | 1199 | Claude Fable 5 |
| Design Arena: game dev | 1335 | 1189 | Claude Fable 5 |
| Design Arena: data viz | 1304 | 1195 | Claude Fable 5 |
| Design Arena: 3D | 1319 | 1191 | Claude Fable 5 |
| Design Arena: all code categories | 1310 | 1217 | Claude Fable 5 |
| Design Arena: SVG | 1302 | 1143 | Claude Fable 5 |
| Design Arena: ASCII art | 1329 | 1165 | Claude Fable 5 |
| LiveBench design | 84.7% | Not measured | Only Claude Fable 5 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index191
| Benchmark | Claude Fable 5 | GLM 4.7 | Leader |
|---|---|---|---|
| LiveBench data analysis | 80.5% | Not measured | Only Claude Fable 5 measured |
| Public Benefits Bench (Vals AI) | 70.4% | Not measured | Only Claude Fable 5 measured |
| SAGE (Vals AI) | 51.9% | Not measured | Only Claude Fable 5 measured |
| MedScribe (Vals AI) | 88.5% | 68.6% | Claude Fable 5 |
| Vals Multimodal Index | 74.2% | Not measured | Only Claude Fable 5 measured |
| IFBench | 63.5% | 67.9% | GLM 4.7 |
| Long context reasoning (AA-LCR) | 82.3% | 71.0% | Claude Fable 5 |
| DTBench | 98.4% | Not measured | Only Claude Fable 5 measured |
| LMCA | 61.2% | Not measured | Only Claude Fable 5 measured |
| CL-bench | Not measured | 15.9% | Only GLM 4.7 measured |
| Surface Evolver Bench | 95.0% | Not measured | Only Claude Fable 5 measured |
| Furniture assembly | 35.8% | Not measured | Only Claude Fable 5 measured |
| CL-bench Life | Not measured | 10.9% | Only GLM 4.7 measured |
| LMArena Text | 1491 | 1435 | Claude Fable 5 |
| LMArena Text: instruction following | 1502 | 1412 | Claude Fable 5 |
| LMArena Text: creative writing | 1494 | 1401 | Claude Fable 5 |
| LMArena Vision | 1325 | Not measured | Only Claude Fable 5 measured |
| LMArena Text: English | 1498 | 1453 | Claude Fable 5 |
| LMArena Text: non-English | 1482 | 1417 | Claude Fable 5 |
| LMArena Text: Chinese | 1543 | 1495 | Claude Fable 5 |
| LMArena Text: German | 1486 | 1426 | Claude Fable 5 |
| LMArena Text: Japanese | 1504 | 1439 | Claude Fable 5 |
| LMArena Text: Korean | 1487 | 1399 | Claude Fable 5 |
| LMArena Text: French | 1505 | 1432 | Claude Fable 5 |
| LMArena Text: Spanish | 1498 | 1434 | Claude Fable 5 |
| LMArena Text: Russian | 1503 | 1423 | Claude Fable 5 |
| LMArena Text: Polish | 1494 | 1435 | Claude Fable 5 |
| LMArena Text: multi-turn | 1504 | 1446 | Claude Fable 5 |
| LMArena Text: longer queries | 1510 | 1432 | Claude Fable 5 |
| LMArena Text: writing and language | 1501 | 1411 | Claude Fable 5 |
| LMArena Text: entertainment and media | 1482 | 1400 | Claude Fable 5 |
| LMArena Vision: English | 1323 | Not measured | Only Claude Fable 5 measured |
| LMArena Vision: Chinese | 1373 | Not measured | Only Claude Fable 5 measured |
| LMArena Vision: reading text | 1337 | Not measured | Only Claude Fable 5 measured |
| LMArena Vision: humor | 1341 | Not measured | Only Claude Fable 5 measured |
| LMArena Vision: creative writing | 1338 | Not measured | Only Claude Fable 5 measured |
| LMArena Document | 1496 | Not measured | Only Claude Fable 5 measured |
| Neither model has a result on the other 9 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Fable 5 | GLM 4.7 | Leader |
|---|---|---|---|
| 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
GLM 4.7 costs less
Repository review
50K input + 3K output tokens
GLM 4.7 costs less
Agent loop
200K input + 10K output tokens
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.
| Specification | Anthropic Claude Fable 5 | Z.ai GLM 4.7 |
|---|---|---|
| Maker | Anthropic | Z.ai |
| Weights | No public weights listed | Open weights |
| Released | June 9, 2026 | December 22, 2025 |
| Context window | 1M | 205K |
| Input $/Mtok | $10.00 | $0.60 |
| Output $/Mtok | $50.00 | $2.20 |
| Coding index | 79.3 | 55.1 |
| Independent measurements behind it | 6 | 2 |
| Cost per solved task | $2.16 | $0.29 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Fable 5 better than GLM 4.7 for coding?
Pick Claude Fable 5 for coding: it scores 79.3 on the Vibe Coding Index against 55.1 for GLM 4.7. Pick GLM 4.7 for output tokens 22.7x cheaper ($2.20 vs $50.00 per million) and a lower cost per solved task ($0.29 against $2.16).
Which is cheaper, Claude Fable 5 or GLM 4.7?
Claude Fable 5 costs $10.00 per million input tokens and $50.00 per million output tokens; GLM 4.7 costs $0.60 and $2.20. Per solved SWE-bench Verified task, Claude Fable 5 costs $2.16 and GLM 4.7 $0.29.
Which has the bigger context window, Claude Fable 5 or GLM 4.7?
Claude Fable 5, with 1M tokens against 205K.
How many benchmarks is the Claude Fable 5 vs GLM 4.7 comparison based on?
69 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's on 2. Where only one model has a result, the page says so instead of naming a winner.