Model comparison
Claude Fable 5.1 vs GLM-5V-Turbo
Claude Fable 5.1 is the stronger model overall, scoring 69.0 to 43.8 on the Noometry Index. GLM-5V-Turbo costs 11× less per token, which makes it the better buy when Claude Fable 5.1's lead doesn't matter for your workload.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. Claude Fable 5.1 scores higher in 9 categories and GLM-5V-Turbo in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Fable 5.1 leads 89.6 to 39.4.
- GLM-5V-Turbo is cheaper at $1.20 / $4 per million input/output tokens, against $10 / $50 for Claude Fable 5.1.
- Claude Fable 5.1 accepts more context: 1M tokens versus 200K.
Side by side
| Claude Fable 5.1 | GLM-5V-Turbo | |
|---|---|---|
| Provider | Anthropic | Z.ai (Zhipu) |
| Noometry Index | 69.0 | 43.8 |
| Released | 2026-09-01 | 2026-04-01 |
| Weights | Proprietary | Proprietary |
| Context window | 1M | 200K |
| Max output | 128K | 131K |
| Input $ / M tokens | $10 | $1.20 |
| Output $ / M tokens | $50 | $4 |
| Results tracked | 52 | 19 |
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Category by category
Coding Claude Fable 5.1 leads
Claude Fable 5.1: 74.7 (#1), GLM-5V-Turbo: 42.1 (#111)
| Benchmark | Claude Fable 5.1 | GLM-5V-Turbo |
|---|---|---|
| LMArena WebDev | 1744 | 1401 |
| LMArena Coding | 1528 | 1466 |
| FrontierCode | 50.9% | — |
| CursorBench | 51.8% | — |
| FrontierSWE | 56.3% | — |
| SciCode | 63.1% | — |
| GSO | 88.2% | — |
| WeirdML | 92.9% | — |
| MirrorCode | 73.3% | — |
| ALE-Bench | 2,143 | — |
Agentic & Tool Use Not comparable
Claude Fable 5.1: 50.7 (#5), GLM-5V-Turbo: —
| Benchmark | Claude Fable 5.1 | GLM-5V-Turbo |
|---|---|---|
| APEX-Agents | 68.6% | — |
| Remote Labor Index | 17.9% | — |
| GDP.pdf | 29.6% | — |
| Vending-Bench 2 | 5,422 | — |
Reasoning Claude Fable 5.1 leads
Claude Fable 5.1: 76.7 (#7), GLM-5V-Turbo: 29.7 (#89)
| Benchmark | Claude Fable 5.1 | GLM-5V-Turbo |
|---|---|---|
| LMArena Hard Prompts | 1526 | 1443 |
| ARC-AGI-2 | 90% | — |
| NYT Connections (extended) | 90% | — |
| ARC-AGI-1 | 97.5% | — |
| CritPt | 31.1% | — |
| Chess Puzzles | 47% | — |
| EBR-Bench | 57.1% | — |
| Mystery Game Puzzles | 58% | — |
| DTBench | 97.6% | — |
| LMCA | 65.5% | — |
| Epoch Capabilities Index | 164.7 | — |
Math Claude Fable 5.1 leads
Claude Fable 5.1: 89.6 (#4), GLM-5V-Turbo: 39.4 (#106)
| Benchmark | Claude Fable 5.1 | GLM-5V-Turbo |
|---|---|---|
| LMArena Math | 1525 | 1441 |
| FrontierMath (Tiers 1-3) | 90.2% | — |
| FrontierMath Tier 4 | 87.8% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | 100% | — |
| FrontierMath Erdős | 0% | — |
Knowledge Claude Fable 5.1 leads
Claude Fable 5.1: 69.6 (#6), GLM-5V-Turbo: 40.6 (#117)
| Benchmark | Claude Fable 5.1 | GLM-5V-Turbo |
|---|---|---|
| LMArena Expert | 1535 | 1452 |
| Humanity's Last Exam | 46.5% | — |
| SimpleQA Verified | 70.8% | — |
Multimodal Claude Fable 5.1 leads
Claude Fable 5.1: 53.9 (#4), GLM-5V-Turbo: 40.9 (#42)
| Benchmark | Claude Fable 5.1 | GLM-5V-Turbo |
|---|---|---|
| LMArena Vision | 1318 | 1264 |
| LMArena Document | 1513 | 1416 |
| Blueprint-Bench 2 | 41.9% | — |
| Furniture Assembly | 70% | — |
Multilingual Claude Fable 5.1 leads
Claude Fable 5.1: 59.1 (#3), GLM-5V-Turbo: 53.0 (#73)
| Benchmark | Claude Fable 5.1 | GLM-5V-Turbo |
|---|---|---|
| LMArena Non-English | 1507 | 1420 |
| LMArena Chinese | 1586 | 1488 |
| LMArena French | 1525 | 1444 |
| LMArena German | 1500 | 1423 |
| LMArena Korean | 1534 | 1396 |
| LMArena Russian | 1521 | 1431 |
| LMArena Spanish | 1516 | 1450 |
| LMArena Japanese | 1543 | — |
Instruction Following Claude Fable 5.1 leads
Claude Fable 5.1: 79.2 (#6), GLM-5V-Turbo: 75.0 (#80)
| Benchmark | Claude Fable 5.1 | GLM-5V-Turbo |
|---|---|---|
| LMArena Instruction Following | 1517 | 1423 |
Long Context Claude Fable 5.1 leads
Claude Fable 5.1: 46.7 (#20), GLM-5V-Turbo: 44.0 (#80)
| Benchmark | Claude Fable 5.1 | GLM-5V-Turbo |
|---|---|---|
| LMArena Longer Query | 1522 | 1438 |
Writing & Preference Claude Fable 5.1 leads
Claude Fable 5.1: 79.2 (#2), GLM-5V-Turbo: 62.5 (#73)
| Benchmark | Claude Fable 5.1 | GLM-5V-Turbo |
|---|---|---|
| LMArena Text | 1510 | 1437 |
| LMArena Creative Writing | 1507 | 1416 |
| LMArena Multi-Turn | 1492 | 1432 |
| EQ-Bench Creative Writing | 2162 | — |
Frequently asked questions
Is Claude Fable 5.1 better than GLM-5V-Turbo?
Claude Fable 5.1 is the stronger model overall, scoring 69.0 to 43.8 on the Noometry Index. GLM-5V-Turbo costs 11× less per token, which makes it the better buy when Claude Fable 5.1's lead doesn't matter for your workload.
Which is cheaper, Claude Fable 5.1 or GLM-5V-Turbo?
GLM-5V-Turbo is cheaper. It lists at $1.20 per million input tokens and $4 per million output tokens; Claude Fable 5.1 lists at $10 and $50.
Is Claude Fable 5.1 or GLM-5V-Turbo better for coding?
Claude Fable 5.1 scores higher on coding benchmarks: 74.7 versus 42.1 in the Noometry coding category.
Which has the bigger context window?
Claude Fable 5.1 does, with 1M tokens against 200K.
How many benchmarks do Claude Fable 5.1 and GLM-5V-Turbo share?
19 benchmarks have published results for both models. Claude Fable 5.1 has 52 scored results on Noometry and GLM-5V-Turbo has 19.