# Claude Fable 5 Review & Benchmarks (2026): Price, Context, Specs | Alher Tech

> Claude Fable 5 by Anthropic: benchmarks, pricing, context window, strengths and use cases. Data from official benchmark sources.

- Canonical page: https://alhertech.com/en/ai-comparison/claude-fable-5/
- Site: Alher Tech (custom software, AI agents and SEO engineering, https://alhertech.com/)
- Contact: https://alhertech.com/en/contact/

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Last updated: June 10, 2026

## Specs

- **Vendor**: Anthropic
- **Released**: June 9, 2026
- **Context window**: 1M tokens
- **Input**: $10 / M tokens
- **Output**: $50 / M tokens

## Benchmarks

- **mmlu**: 95.1
- **gpqa**: 92
- **humanEval**: 98
- **arenaElo**: 1492
- **sweBench**: 77
- **sweBenchPro**: 72
- **liveCodeBench**: 84
- **aiderPolyglot**: 86
- **terminalBench**: 52
- **mmluPro**: 89
- **hle**: 30
- **aime**: 94
- **math500**: 98.5
- **mmmu**: 83

## Strengths

- Anthropic's most capable widely released model: state-of-the-art long-horizon autonomous agentic work and frontier reasoning
- 1M-token context window (the default) with 128K max output and always-on extended thinking
- Generally available on the Claude API at $10 / $50 per M tokens: no Project Glasswing barrier

## Weaknesses

- New tokenizer counts ~30% more tokens than the Opus tier for the same content: re-baseline cost and context budgets
- Premium pricing above the Opus tier: overkill for high-volume, latency-sensitive traffic
- Requires 30-day data retention (not available under zero-data-retention); safety classifiers may refuse some bio/cyber-adjacent requests

## Best for

- Long-horizon autonomous coding agents and overnight refactor runs
- The hardest reasoning, mathematics and scientific research problems
- End-to-end enterprise deliverables: financial analysis, spreadsheets, slides and documents

[Compare with other AI models](https://alhertech.com/en/ai-comparison/)