Fable 5 vs Claude Opus 4.8 — Full Comparison (2026)
Fable 5 vs Claude Opus 4.8: pricing, context window, thinking, API differences, and when each model is the right choice.
Last updated: 2026-06-10
Fable 5 is Anthropic's new top-tier model, sitting above Claude Opus 4.8 — the previous flagship. Here's how the two compare and when each one is the right choice.
At a glance
| | Fable 5 | Claude Opus 4.8 |
| --- | --- | --- |
| Model ID | claude-fable-5 | claude-opus-4-8 |
| Tier | New top tier | Opus tier |
| Context window | 1M tokens | 1M tokens |
| Max output | 128K tokens | 128K tokens |
| Input / MTok | $10.00 | $5.00 |
| Output / MTok | $25.00 → $50.00 | $25.00 |
| Thinking | Adaptive only | Adaptive only |
| Sampling params | Removed | Removed |
| Effort levels | low → max (incl. xhigh) | low → max (incl. xhigh) |
Same API surface
If your code already runs on Opus 4.7 or 4.8, switching to Fable 5 is essentially a model-ID swap. Both models:
- use adaptive thinking (
thinking: {type: "adaptive"}) — manualbudget_tokensreturns an error - reject
temperature,top_p, andtop_k - reject last-assistant-turn prefills (use structured outputs instead)
- support the
effortparameter, task budgets (beta), compaction, and structured outputs
One Fable 5-specific difference: explicitly sending thinking: {type: "disabled"} returns an error on Fable 5 (it's accepted on Opus 4.8). If you want to omit thinking, simply leave the thinking parameter out.
Where Fable 5 pulls ahead
Fable 5 raises the ceiling rather than changing the shape. Expect the biggest gains on:
- Hard reasoning — multi-step problems where Opus 4.8 starts to plateau
- Complex coding — large refactors, debugging across big codebases
- Long-horizon agentic work — autonomous sessions that run for hours and must stay coherent
- Knowledge work — analysis, synthesis, and writing at expert level
Where Opus 4.8 still makes sense
At exactly half the price, Opus 4.8 remains an exceptional model. Choose it when:
- your tasks don't consistently hit Fable 5's ceiling — most production workloads don't
- you're running high-volume pipelines where the 2× price difference compounds
- you want the most capable model that's still in the "standard" Claude lineup
Practical recommendation
A sensible pattern is routing: send routine traffic to Opus 4.8 (or Sonnet 4.6) and escalate only the hardest tasks to Fable 5. The shared API surface makes switching per-request trivial.
Want to feel the difference yourself? Chat with Fable 5 in our playground — no API key needed.
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