Claude Fable 5.1 vs Claude Haiku 4.5

Anthropic · US  |  Anthropic · US · Updated June 2026

Quick verdict

Both are Anthropic models. Claude Fable 5.1 is the newer, generally stronger default; reach for Claude Haiku 4.5 when its lower price or a specific cost or latency profile matters more than the latest capabilities.

Claude Fable 5.1 and Claude Haiku 4.5 are both Anthropic models, so the real question is not which lab to trust but which tier fits your workload and budget. Claude Fable 5.1 is anthropic's September 1, 2026 update to its Fable line for coding and knowledge work, keeping the 1M-token context of Fable 5 while cutting cache-read costs and roughly doubling agentic-research benchmark scores. Claude Haiku 4.5 is anthropic's fastest, most compact model — built for speed and volume. Since both come from the same lab, the comparison below focuses on the tier-and-cost trade-offs that actually separate them.

Key differences at a glance

Side-by-side specs

SpecClaude Fable 5.1Claude Haiku 4.5
ProviderAnthropic (US) Anthropic (US)
ReleasedSeptember 1, 2026 October 15, 2025
Context window1M tokens (~1,500 pages) 200K (~300 pages)
Price (in/out)$10/$50 per 1M tokens $1/$5 per 1M tokens
Open weight?No — API only No — API only
Modalitiestext, image text, image, code
SWE-Bench VerifiedNot published 73.3%
MRCR v2 @ 1MNot published Not published

Who wins what

Terminal-Bench-Science agentic research (52.6%, more than double Fable 5's 24.7%)

Claude Fable 5.1

Anthropic's September 1, 2026 update to its Fable line for coding and knowledge work, keeping the 1M-token context of Fable 5 while cutting cache-read costs and roughly doubling agentic-research benchmark scores — and it carries the larger 1M tokens context.

CursorBench 3.2 agentic coding (73.4%)

Claude Fable 5.1

Anthropic's September 1, 2026 update to its Fable line for coding and knowledge work, keeping the 1M-token context of Fable 5 while cutting cache-read costs and roughly doubling agentic-research benchmark scores — and it is the newer of the two.

Cache-read pricing cut to a quarter of other Claude models

Claude Fable 5.1

Claude Fable 5.1 lists cache-read pricing cut to a quarter of other Claude models among its strengths; Claude Haiku 4.5 does not.

Fastest Claude model

Claude Haiku 4.5

Claude Fable 5.1 is comparatively weak here — anthropic has not published an official SWE-bench Verified score for this model

Near-frontier coding for its tier — 73.3% on SWE-Bench Verified

Claude Haiku 4.5

Anthropic's fastest, most compact model — built for speed and volume — and it runs cheaper at $1/$5 per 1M tokens.

Low-latency, high-volume API calls

Claude Haiku 4.5

At $1/$5 per 1M tokens it undercuts Claude Fable 5.1 ($10/$50 per 1M tokens), and that gap compounds at volume.

Lowest cost at scale

Claude Haiku 4.5

At $1/$5 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.

Largest single-prompt input

Claude Fable 5.1

Its 1M tokens window is about 5× larger than Claude Haiku 4.5's 200K, fitting roughly 1,500 pages in one prompt.

Which should you pick?

A cost-sensitive startup shipping high volume

Claude Haiku 4.5

At $1/$5 per 1M tokens it undercuts Claude Fable 5.1, and on millions of tokens that margin decides the monthly bill.

Someone analysing very long documents or codebases

Claude Fable 5.1

Larger 1M tokens window fits more in one prompt.

Anyone whose priority is terminal-bench-science agentic research (52.6%, more than double fable 5's 24.7%)

Claude Fable 5.1

It is specifically built for that.

Anyone whose priority is fastest claude model

Claude Haiku 4.5

That is its strongest area.

Claude Fable 5.1: where it fits

Anthropic's September 1, 2026 update to its Fable line for coding and knowledge work, keeping the 1M-token context of Fable 5 while cutting cache-read costs and roughly doubling agentic-research benchmark scores. Released September 1, 2026 by Anthropic, it is built for terminal-Bench-Science agentic research (52.6%, more than double Fable 5's 24.7%), cursorBench 3.2 agentic coding (73.4%), cache-read pricing cut to a quarter of other Claude models, and long, multistep, document-heavy professional work with 1M-token context.

Its trade-offs are real: anthropic has not published an official SWE-bench Verified score for this model, restricted Mythos 5.1 variant outscores it on some benchmarks due to lighter safeguards (Terminal-Bench 4.0: 60.9% vs 55.8%), and closed weights, no self-hosting option. At $10 in / $50 out per million tokens, it sits in the premium price band.

Claude Haiku 4.5: where it fits

Anthropic's fastest, most compact model — built for speed and volume. Released October 15, 2025 by Anthropic, it is built for fastest Claude model, near-frontier coding for its tier — 73.3% on SWE-Bench Verified, low-latency, high-volume API calls, and cheapest Claude tier at $1/$5.

Its trade-offs: smallest context in the family (200K), and not for deep reasoning. At $1 in / $5 out per million tokens, it sits in the budget price band.

The bottom line for this matchup

Because Claude Fable 5.1 and Claude Haiku 4.5 come from the same lab (Anthropic), they share the same training philosophy and ecosystem — the decision is purely tier vs. cost. Claude Fable 5.1 is the more capable, more recent option; the other earns its place only when its price or latency profile fits a specific job better. Most teams should default to Claude Fable 5.1 and drop down only with a concrete reason.

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Frequently asked questions

Is Claude Fable 5.1 or Claude Haiku 4.5 better for coding?

Public SWE-Bench figures are not available for Claude Fable 5.1, so the honest test is your own repository — run an identical real bug through both. By design, Claude Fable 5.1 leans toward terminal-bench-science agentic research (52.6%, more than double fable 5's 24.7%) while Claude Haiku 4.5 leans toward fastest claude model, and that positioning usually predicts which feels better on your codebase.

Which is cheaper, Claude Fable 5.1 or Claude Haiku 4.5?

Claude Haiku 4.5 is cheaper — $10/$50 per 1M tokens vs $1/$5 per 1M tokens, roughly 10× apart on input.

Which has the bigger context window?

Claude Fable 5.1 — 1M tokens vs 200K, about 5× larger. Useful only if the model actually reasons over the full window, which not all do.

Should I upgrade from Claude Haiku 4.5 to Claude Fable 5.1?

Since both are Anthropic models, the newer one (Claude Fable 5.1) is usually the better default unless you need a specific cost or latency profile from the other.

Which is newer, Claude Fable 5.1 or Claude Haiku 4.5?

Claude Fable 5.1 — released September 1, 2026, about 11 months after Claude Haiku 4.5.

Related comparisons

Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.