Claude Fable 5 vs Claude Opus 4.7
Different efforts: max · high · Compare all at high
AutomationBench-AA AutomationBench-AA: Agents orchestrate SaaS workflows through APIs; objectives receive credit only when the task has no guardrail violation
Fable 554.1
Opus 4.7—
GDPval-AA (work tasks) 2.1 GDPval-AA (work tasks) 2.1: Real work tasks from many professions (reports, spreadsheets, analyses), graded against expert work
Fable 555.5
Opus 4.7 · max42.6
τ³-bench · banking · 1.0.1 τ-bench official · 3-banking-1.0.1: Customer-service agents converse with simulated users, retrieve domain knowledge and change state through tools
Fable 539.7
Opus 4.7 · max40.2
τ³-Banking · AA τ³-Banking · AA: Agents retrieve banking knowledge and execute tools to resolve customer-support workflows
Fable 538.1
Opus 4.7 · max34.6
AA Analyst Agent AA Analyst Agent: Data-analyst tasks: the model explores data with tools and reports findings
Fable 548.8
Opus 4.7 · max43.8
Terminal-Bench Hard (version unstated) Terminal-Bench Hard (version unstated): Agents solve difficult software, system-administration and data-processing tasks in a terminal
Fable 562.9
Opus 4.754.5
AA-Briefcase 1.1 · Elo AA-Briefcase 1.1 · Elo: Agents produce professional deliverables; blind pairwise comparisons produce the source Elo rating
Fable 51,539.3
Opus 4.71,067.9
AA-LCR (long context) 1.1 AA-LCR (long context) 1.1: Questions that need reading and connecting facts across very long documents (around 100K tokens)
Fable 582.3
Opus 4.775.7
DeepSWE 1.1 DeepSWE 1.1: Agents change repository code to resolve software engineering tasks under the stated DeepSWE edition
Fable 569.7
Opus 4.7 · max49.3
EBR Bench EBR Bench: Agents learn to play Earthborne Rangers across repeated playthroughs
Fable 539.5
Opus 4.7 · max19
Furniture Assembly Furniture Assembly: Models inspect furniture assembly photos, identify incorrect builds and locate the mistaken step
Fable 535.8
Opus 4.7 · max33.3
MCP-Atlas Public MCPAtlas Public: MCPAtlas Public as reported in this launch evaluation; the post is the authority for the recorded task and grading scope
Fable 5—
Opus 4.7 · max80.8
MCP-Atlas · full 1000 MCP-Atlas · full 1000: Tool orchestration across MCP servers on the stated task split
Fable 5—
Opus 4.7 · max79.1
ITBench SRE ITBench SRE: IT incident tasks: diagnose and fix broken systems like a site-reliability engineer
Fable 5—
Opus 4.7 · max46.7
Terminal-Bench 4.0 Terminal-Bench 4.0 · source setting 2: Agents use a terminal to complete executable coding, system administration and research tasks in the 4.0 suite
Fable 542.4
Opus 4.7—
EnterpriseOps-Gym-AA EnterpriseOps-Gym-AA: Agents complete stateful enterprise workflows in eight domains; final database state determines success
Fable 551.1
Opus 4.7—
| Benchmark | Fable 5 | Opus 4.7 |
|---|---|---|
| AutomationBench-AA | 54.1 | — |
| GDPval-AA (work tasks) 2.1 | 55.5 | 42.6 · max |
| τ³-bench · banking · 1.0.1 | 39.7 | 40.2 · max |
| τ³-Banking · AA | 38.1 | 34.6 · max |
| AA Analyst Agent | 48.8 | 43.8 · max |
| Terminal-Bench Hard (version unstated) | 62.9 | 54.5 |
| AA-Briefcase 1.1 · Elo | 1,539.3 | 1,067.9 |
| AA-LCR (long context) 1.1 | 82.3 | 75.7 |
| DeepSWE 1.1 | 69.7 | 49.3 · max |
| EBR Bench | 39.5 | 19 · max |
| Furniture Assembly | 35.8 | 33.3 · max |
| MCP-Atlas Public | — | 80.8 · max |
| MCP-Atlas · full 1000 | — | 79.1 · max |
| ITBench SRE | — | 46.7 · max |
| Terminal-Bench 4.0 | 42.4 | — |
| EnterpriseOps-Gym-AA | 51.1 | — |
Specs
| Spec | Fable 5 | Opus 4.7 |
|---|---|---|
| Input, per 1M | $10 | $5 |
| Output, per 1M | $50 | $25 |
| Cost per task? | $8.75 | — |
| Speed, tok/s | 67 | 59 |
| Context | 1M | 1M |
| Weights | Closed | Closed |
| Released | Jun 2026 | Apr 2026 |
| See images | ✓ | ✓ |
| Read PDFs | Partial | Partial |
| Hear audio | — | — |
| Watch video | — | — |
| Call tools | ✓ | ✓ |
| Force a tool call | Partial | Partial |
| Return strict JSON | ✓ | ✓ |
| Search the web | ? | ? |
| Run code | ? | ? |
| Use a computer | ? | ? |
What breaks when you switch
Fable 5 → Opus 4.7
Nothing known.
Opus 4.7 → Fable 5
Nothing known.