Compare / head-to-head
Claude Fable 5vs
GLM-5.2
Claude Fable 5 leads 24 of 27 shared benchmarks. GLM-5.2 is 10.3x cheaper per token. Both offer a 1M-token context window.
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
24 – 2
Claude Fable 5 leads · 1 tied
Cheaper per token
GLM-5.2
10.3x cheaper, input + output
Larger context
Tie
both 1M tokens
Providers
2 providers
Anthropic · Z.ai
Claude Fable 5
Anthropic · released 2026-06-09
textvision
Quality
Benchmark matrix
27 shared · 17 only Claude Fable 5 · 19 only GLM-5.2| Benchmark | Claude Fable 5 | GLM-5.2 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 27 | ||||
| GPQA Diamond | 85.9% ↗epoch run | 91.9% ↗epoch run | -6 pt | GLM-5.2 |
| LMArena Elo | 1504.3 ↗ | 1475.8 ↗ | +28.5 | Claude Fable 5 |
| APEX-Agents (Mercor) | 63.6% ↗ | 45.2% ↗ | +18.4 pt | Claude Fable 5 |
| Chess Puzzles (Epoch AI run) | 41% ↗epoch run | 21% ↗epoch run | +20 pt | Claude Fable 5 |
| DeepSWE v1.1 (Datacurve) | 69.9% ↗ | 43.8% ↗ | +26.1 pt | Claude Fable 5 |
| EBR-bench (Epoch AI run) | 39.5% ↗epoch run | 9.5% ↗epoch run | +30 pt | Claude Fable 5 |
| FrontierMath Tier 4 v2 (Epoch AI run) | 90.2% ↗epoch run | 29.3% ↗epoch run | +60.9 pt | Claude Fable 5 |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 87% ↗epoch run | 59.2% ↗epoch run | +27.8 pt | Claude Fable 5 |
| LiveBench Agentic Coding (LiveBench) | 62.2% ↗ | 51.8% ↗ | +10.4 pt | Claude Fable 5 |
| LiveBench Coding (LiveBench) | 86% ↗ | 79.7% ↗ | +6.3 pt | Claude Fable 5 |
| LiveBench Data Analysis (LiveBench) | 80.5% ↗ | 73.7% ↗ | +6.8 pt | Claude Fable 5 |
| LiveBench Instruction Following (LiveBench) | 75.8% ↗ | 62.3% ↗ | +13.5 pt | Claude Fable 5 |
| LiveBench Language (LiveBench) | 90.7% ↗ | 76.2% ↗ | +14.5 pt | Claude Fable 5 |
| LiveBench Mathematics (LiveBench) | 96% ↗ | 89.8% ↗ | +6.2 pt | Claude Fable 5 |
| LiveBench Reasoning (LiveBench) | 89.7% ↗ | 78.6% ↗ | +11.1 pt | Claude Fable 5 |
| LMArena Agent (LMArena) | 0.0821 ↗ | 0.0348 ↗ | 0 | Tie |
| LMArena WebDev (LMArena) | 1625.3 ↗ | 1605 ↗ | +20.3 | Claude Fable 5 |
| Mystery Game Puzzles (Epoch AI run) | 52% ↗epoch run | 19% ↗epoch run | +33 pt | Claude Fable 5 |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 100% ↗epoch run | 86.4% ↗epoch run | +13.6 pt | Claude Fable 5 |
| SimpleBench (SimpleBench) | 81.9% ↗ | 58.8% ↗ | +23.1 pt | Claude Fable 5 |
| SimpleQA Verified | 70.7% ↗epoch run | 34.2% ↗epoch run | +36.5 pt | Claude Fable 5 |
| SWE-Bench Pro | 80% ↗ | 62.1% ↗ | +17.9 pt | Claude Fable 5 |
| SWE-rebench 2026-05-15 to 2026-07-01 (Nebius) | 64.5% ↗ | 62.9% ↗ | +1.6 pt | Claude Fable 5 |
| tau2-bench Banking Knowledge (Sierra) | 39.7% ↗ | 37.1% ↗ | +2.6 pt | Claude Fable 5 |
| Terminal-Bench 2.1 | 84.3% ↗ | 81% ↗ | +3.3 pt | Claude Fable 5 |
| Vending-Bench 2 (Andon Labs) | 5680.26 ↗ | 8313.78 ↗ | -2633.5 | GLM-5.2 |
| WeirdML (Håvard Tveit Ihle) | 91.9% ↗ | 70.1% ↗ | +21.8 pt | Claude Fable 5 |
| Only Claude Fable 5 reports · 17 | ||||
| SWE-bench Verified | 95% ↗ | not reported | — | — |
| AutomationBench | 17.4% ↗ | not reported | — | — |
| Blueprint-Bench 2 | 38.6% ↗ | not reported | — | — |
| CursorBench | 72.9% ↗ | not reported | — | — |
| FrontierCode (Diamond) | 29.3% ↗ | not reported | — | — |
| FrontierSWE V2 (Proximal Labs) | 47% ↗ | not reported | — | — |
| Furniture Assembly (Epoch AI run) | 35.8% ↗epoch run | not reported | — | — |
| GDP.pdf | 29.8% ↗ | not reported | — | — |
| GSO Opt@1 (GSO) | 76.5% ↗ | not reported | — | — |
| Legal Agent Benchmark (Harvey's Held-Out Set) | 13.3% ↗ | not reported | — | — |
| LMArena Vision (LMArena) | 1308.8 ↗ | not reported | — | — |
| MirrorCode (Epoch AI run) | 63.9% ↗epoch run | not reported | — | — |
| OfficeQA Pro | 57.9% ↗ | not reported | — | — |
| OSWorld-Verified | 85% ↗ | not reported | — | — |
| OSWorld-Verified (XLANG) | 86% ↗ | not reported | — | — |
| SAGE (Vals AI) | 51.9% ↗ | not reported | — | — |
| Terminal-Bench 4.0 (Vals AI) | 41.4% ↗ | not reported | — | — |
| Only GLM-5.2 reports · 19 | ||||
| AIME 2026 | not reported | 90% ↗matharena ⚠ | — | — |
| Agents' Last Exam (ALE-CLI) | not reported | 23.8% ↗ | — | — |
| AutomationBench v1.0.6 | not reported | 26.2% ↗ | — | — |
| CyberGym | not reported | 77.2% ↗ | — | — |
| DeepSWE v1.1 | not reported | 46.2% ↗ | — | — |
| ExploitBench | not reported | 24.4% ↗ | — | — |
| ExploitGym 2h | not reported | 29 ↗ | — | — |
| ExploitGym 6h | not reported | 39 ↗ | — | — |
| FrontierSWE | not reported | 67.5% ↗ | — | — |
| GDPval-AA v2 | not reported | 1508 ↗ | — | — |
| HLE (with tools) | not reported | 54.7% ↗ | — | — |
| NL2Repo | not reported | 48.9% ↗ | — | — |
| PostTrainBench | not reported | 31.7% ↗ | — | — |
| ProgramBench (Almost Solved) | not reported | 9.5% ↗ | — | — |
| SWE-bench Verified (Epoch AI run) | not reported | 78.7% ↗epoch run | — | — |
| SWE-Marathon v1.1 | not reported | 19.4% ↗ | — | — |
| Terminal-Bench 3.0 | not reported | 4.6% ↗ | — | — |
| Toolathlon Verified | not reported | 59.9% ↗ | — | — |
| Toolathlon-Verified (HKUST) | not reported | 59.9% ↗ | — | — |
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is Claude Fable 5 minus GLM-5.2 in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing
Side by side
Official pricing pages and model cards| Spec | Claude Fable 5 | GLM-5.2 | Edge |
|---|---|---|---|
| Context window | 1M tokens | 1M tokens | Tie |
| Max output | 128K tokens | 131K tokens | GLM-5.2 |
| Input price / 1M | $10 ↗ | $1.4 ↗ | GLM-5.2 |
| Output price / 1M | $50 ↗ | $4.4 ↗ | GLM-5.2 |
| Cached input / 1M | $1 ↗ | $0.26 ↗ | GLM-5.2 |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $60 | $5.8 | GLM-5.2 |
| Modalities | text · vision | text | Claude Fable 5 |
| Released | 2026-06-09 | 2026-06-24 | — |
| Cited benchmark scores | 44 | 53 | — |
Reliability
Provider status
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Which one wins on your data?
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