Claude Fable 5 vs GLM 5V Turbo
Claude Fable 5 leads GLM 5V Turbo on the Artificial Analysis Intelligence Index, 49.6 to 23.5, and GLM 5V Turbo costs 12.5x less per output token ($4.00 vs $50.00 per million). Updated October 22, 2026; 63 benchmarks have a result for both.
Claude Fable 5 or GLM 5V Turbo: which to pick
Only Claude Fable 5 has a coding score, 79.3 on the Vibe Coding Index; GLM 5V Turbo has none, so the two cannot be ranked on coding.
Pick GLM 5V Turbo for output tokens 12.5x cheaper ($4.00 vs $50.00 per million).
- Shared results
- 63
- Claude Fable 5 only
- 64
- GLM 5V Turbo only
- 2
- 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
No call
Only Claude Fable 5 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Claude Fable 5
Claude Fable 5 leads, 49.6 against 23.5.
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
No call
Only Claude Fable 5 has a GPQA Diamond result, 93.2%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Fable 5 has a MMLU Pro result, 91.5%.
Directional only
Web design
Design Arena: websites
Claude Fable 5
Claude Fable 5 leads, 1295 against 1230.
Same board, both measured
Long documents
Listed context window
Claude Fable 5
Claude Fable 5 takes 1M tokens against 203K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GLM 5V Turbo
Claude Fable 5 $0.035, GLM 5V Turbo $0.0032 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Claude Fable 5 has the number, $2.16.
Directional only
At a glance
- Coding index
- Claude Fable 5 79.3 from 6 benchmarks, GLM 5V Turbo not benchmarked.
- Widest category
- Coding, 26.4 points apart on average over 7 shared benchmarks.
- Widest single gap
- Design Arena: agents building Godot games: Claude Fable 5 1292 against GLM 5V Turbo 957, 41.9 points apart on a 0 to 100 scale.
- Output price
- Claude Fable 5 $50.00 against GLM 5V Turbo $4.00 per million output tokens, 12.5x apart.
- Context window
- Claude Fable 5 takes 1M tokens, GLM 5V Turbo 203K.
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 5V Turbo | Ties |
|---|---|---|---|---|
| Coding | 7 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 8 | 0 | 1 tie | |
| Reasoning | 7 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| Web design | 8 | 0 | ||
| General | 25 | 0 | ||
| All shared boards | 62 | 0 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
| Benchmark | Claude Fable 5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| LiveBench coding | 98.3% | Not measured | Only Claude Fable 5 measured |
| LMArena WebDev | 1624 | 1402 | Claude Fable 5 |
| AA Coding Index | 76.5 | Not measured | Only Claude Fable 5 measured |
| LiveCodeBench (Vals AI) | 89.8% | Not measured | Only Claude Fable 5 measured |
| SWE-bench Verified (Vals AI) | 95.0% | Not measured | Only Claude Fable 5 measured |
| 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 |
| SciCode | 61.0% | Not measured | Only Claude Fable 5 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 62.9% | 32.6% | Claude Fable 5 |
| 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 | Not measured | Only Claude Fable 5 measured |
| LMArena Text: coding | 1518 | 1466 | Claude Fable 5 |
| LMArena Text: software and IT | 1513 | 1460 | Claude Fable 5 |
| LMArena WebDev: React | 1631 | 1386 | Claude Fable 5 |
| LMArena WebDev: HTML | 1651 | 1356 | Claude Fable 5 |
| LMArena WebDev: from an image | 1623 | 1425 | Claude Fable 5 |
| Neither model has a result on the other 16 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Claude Fable 5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| AA Intelligence Index | 49.6 | 23.5 | Claude Fable 5 |
| Epoch Capabilities Index | 163.4 | Not measured | Only Claude Fable 5 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Claude Fable 5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| AA Agentic Index | 50.7 | Not measured | Only Claude Fable 5 measured |
| Design Arena: agents building web apps | 1261 | 1124 | Claude Fable 5 |
| Design Arena: agents building full-stack apps | 1280 | 1149 | Claude Fable 5 |
| Design Arena: agents building mobile apps | 1264 | 1134 | Claude Fable 5 |
| Design Arena: agents building Android apps | 1284 | 1267 | Claude Fable 5 |
| Design Arena: agents building Godot games | 1292 | 957 | Claude Fable 5 |
| Design Arena: agents building games | 1285 | 1102 | Claude Fable 5 |
| Design Arena: HTML slides | 1227 | 1070 | Claude Fable 5 |
| Design Arena: PowerPoint slides | 1270 | 1127 | Claude Fable 5 |
| 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% | 98.5% | Tie |
| 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 | Not measured | Only Claude Fable 5 measured |
| LMArena Search | 1229 | Not measured | Only 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 index70
| Benchmark | Claude Fable 5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| GPQA Diamond | 93.2% | Not measured | Only Claude Fable 5 measured |
| 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% | 80.9% | Claude Fable 5 |
| Humanity's Last Exam (Artificial Analysis run) | 55.5% | 17.1% | Claude Fable 5 |
| GPQA Diamond (Epoch AI run) | 85.9% | Not measured | Only Claude Fable 5 measured |
| 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% | Not measured | Only Claude Fable 5 measured |
| Chess puzzles | 47.0% | Not measured | Only Claude Fable 5 measured |
| 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 | 1453 | Claude Fable 5 |
| LMArena Text: hard prompts in English | 1509 | 1456 | Claude Fable 5 |
| LMArena Vision: diagrams | 1357 | 1286 | Claude Fable 5 |
| LMArena Vision: homework | 1361 | 1273 | Claude Fable 5 |
| 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 index20
| Benchmark | Claude Fable 5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | Not measured | Only Claude Fable 5 measured |
| 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% | Not measured | Only Claude Fable 5 measured |
| LMArena Text: math | 1516 | 1442 | Claude Fable 5 |
| LMArena Text: mathematical work | 1515 | 1447 | Claude 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
| Benchmark | Claude Fable 5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| MMLU Pro | 91.5% | Not measured | Only Claude Fable 5 measured |
| LegalBench (Vals AI) | 88.6% | Not measured | Only Claude Fable 5 measured |
| CorpFin (Vals AI) | 71.8% | Not measured | Only Claude Fable 5 measured |
| TaxEval (Vals AI) | 76.9% | Not measured | Only Claude Fable 5 measured |
| MortgageTax (Vals AI) | 68.9% | Not measured | Only Claude Fable 5 measured |
| MedCode (Vals AI) | 56.1% | Not measured | Only Claude Fable 5 measured |
| SimpleQA Verified | 70.7% | Not measured | Only Claude Fable 5 measured |
| LMArena Text: science | 1506 | 1448 | Claude Fable 5 |
| LMArena Text: medicine and healthcare | 1480 | 1433 | Claude Fable 5 |
| LMArena Text: legal and government | 1498 | 1436 | Claude Fable 5 |
| LMArena Text: business and finance | 1480 | 1435 | Claude Fable 5 |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Claude Fable 5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| Design Arena: websites | 1295 | 1230 | Claude Fable 5 |
| Design Arena: UI components | 1316 | 1210 | Claude Fable 5 |
| Design Arena: game dev | 1335 | 1218 | Claude Fable 5 |
| Design Arena: data viz | 1304 | 1202 | Claude Fable 5 |
| Design Arena: 3D | 1318 | 1208 | Claude Fable 5 |
| Design Arena: all code categories | 1310 | 1228 | Claude Fable 5 |
| Design Arena: SVG | 1302 | 1151 | Claude Fable 5 |
| Design Arena: ASCII art | 1329 | 1117 | 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 index250
| Benchmark | Claude Fable 5 | GLM 5V Turbo | 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% | Not measured | Only Claude Fable 5 measured |
| Vals Multimodal Index | 74.2% | Not measured | Only Claude Fable 5 measured |
| IFBench | 63.5% | 61.1% | Claude Fable 5 |
| Long context reasoning (AA-LCR) | 82.3% | 70.3% | Claude Fable 5 |
| DTBench | 98.4% | Not measured | Only Claude Fable 5 measured |
| LMCA | 61.2% | Not measured | Only Claude Fable 5 measured |
| Surface Evolver Bench | 95.0% | Not measured | Only Claude Fable 5 measured |
| Furniture assembly | 35.8% | Not measured | Only Claude Fable 5 measured |
| LMArena Text | 1491 | 1437 | Claude Fable 5 |
| LMArena Text: instruction following | 1502 | 1423 | Claude Fable 5 |
| LMArena Text: creative writing | 1494 | 1417 | Claude Fable 5 |
| LMArena Vision | 1325 | 1264 | Claude Fable 5 |
| LMArena Text: English | 1498 | 1454 | Claude Fable 5 |
| LMArena Text: non-English | 1482 | 1420 | Claude Fable 5 |
| LMArena Text: Chinese | 1543 | 1491 | Claude Fable 5 |
| LMArena Text: German | 1486 | 1422 | Claude Fable 5 |
| LMArena Text: Japanese | 1504 | Not measured | Only Claude Fable 5 measured |
| LMArena Text: Korean | 1487 | 1397 | Claude Fable 5 |
| LMArena Text: French | 1505 | 1443 | Claude Fable 5 |
| LMArena Text: Spanish | 1498 | 1452 | Claude Fable 5 |
| LMArena Text: Russian | 1503 | 1432 | Claude Fable 5 |
| LMArena Text: Polish | 1494 | 1432 | Claude Fable 5 |
| LMArena Text: multi-turn | 1504 | 1431 | Claude Fable 5 |
| LMArena Text: longer queries | 1510 | 1438 | Claude Fable 5 |
| LMArena Text: writing and language | 1501 | 1420 | Claude Fable 5 |
| LMArena Text: entertainment and media | 1482 | 1407 | Claude Fable 5 |
| LMArena Vision: English | 1323 | 1274 | Claude Fable 5 |
| LMArena Vision: Chinese | 1373 | 1329 | Claude Fable 5 |
| LMArena Vision: reading text | 1337 | 1270 | Claude Fable 5 |
| LMArena Vision: humor | 1341 | 1268 | Claude Fable 5 |
| LMArena Vision: captioning | Not measured | 1264 | Only GLM 5V Turbo measured |
| LMArena Vision: recognizing things | Not measured | 1241 | Only GLM 5V Turbo measured |
| LMArena Vision: creative writing | 1338 | 1252 | Claude Fable 5 |
| LMArena Document | 1496 | 1416 | Claude Fable 5 |
| 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 5V Turbo | 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 5V Turbo costs less
Repository review
50K input + 3K output tokens
GLM 5V Turbo costs less
Agent loop
200K input + 10K output tokens
GLM 5V Turbo 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 5V Turbo |
|---|---|---|
| Maker | Anthropic | Z.ai |
| Weights | No public weights listed | No public weights listed |
| Released | June 9, 2026 | April 1, 2026 |
| Context window | 1M | 203K |
| Input $/Mtok | $10.00 | $1.20 |
| Output $/Mtok | $50.00 | $4.00 |
| Coding index | 79.3 | Not benchmarked |
| Independent measurements behind it | 6 | 1 |
| Cost per solved task | $2.16 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Fable 5 better than GLM 5V Turbo for coding?
Only Claude Fable 5 has a coding score, 79.3 on the Vibe Coding Index; GLM 5V Turbo has none, so the two cannot be ranked on coding. Pick GLM 5V Turbo for output tokens 12.5x cheaper ($4.00 vs $50.00 per million).
Which is cheaper, Claude Fable 5 or GLM 5V Turbo?
Claude Fable 5 costs $10.00 per million input tokens and $50.00 per million output tokens; GLM 5V Turbo costs $1.20 and $4.00. Cost per solved task is known for Claude Fable 5 only.
Which has the bigger context window, Claude Fable 5 or GLM 5V Turbo?
Claude Fable 5, with 1M tokens against 203K.
How many benchmarks is the Claude Fable 5 vs GLM 5V Turbo comparison based on?
63 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 5V Turbo's on 1. Where only one model has a result, the page says so instead of naming a winner.