AI Models · Paid vs Paid

Claude Fable 5.1 Paid vs o4 Mini Paid

Claude Fable 5.1 vs o4 Mini compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.

Prices & specs refreshed from live data · olud.ai

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

Claude Fable 5.1PaidAnthropic
$10 /M input
$50 /M outputManaged API (no infra to run)
TypeProprietary
Context window1M tokens
MultimodalYes
Self-hostNo
o4 MiniPaidOpenAI
$1.1 /M input
$4.4 /M outputManaged API (no infra to run)
TypeProprietary
Context window200K tokens
MultimodalYes
Self-hostNo
Choose o4 Mini for the lower output price ($4.4/M vs $50/M). Choose Claude Fable 5.1 if you need the larger 1M context window.

Claude Fable 5.1 vs o4 Mini specs

SpecClaude Fable 5.1o4 MiniWinner
MakerAnthropicOpenAI
TypeProprietaryProprietary
Context window1M tokens200K tokensClaude Fable 5.1
Input price$10/M$1.1/Mo4 Mini
Output price$50/M$4.4/Mo4 Mini
Vision / multimodalYesYes= Tie
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

11×cheaper per output token

o4 Mini is ~11× cheaper than Claude Fable 5.1 on output tokens ($4.4 vs $50 per M tokens).

Choose Claude Fable 5.1 if…
  • You want frontier performance through a managed API
  • You need the longer 1M context window
  • You value reliability & ecosystem
  • You don't want to manage infrastructure
Choose o4 Mini if…
  • You want frontier performance through a managed API
  • You want the lower output price
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

CapabilityClaude Fable 5.1o4 Mini
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Claude Fable 5.1 vs o4 Mini

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

o4 Mini delivers 3.2× more intelligence per dollar.
Claude Fable 5.1
o4 Mini
Intelligence index
53.4
16.7
Coding index
81.6
GPQA
93.7%
78.4%
Humanity's Last Exam
59.1%
16.5%
Long Context Reasoning
85.3%
61%
SciCode
63.1%
τ-Bench Banking
47.2%
Terminal-Bench
91.4%
Math index
90.7
MMLU-Pro
83.2%
LiveCodeBench
85.9%
MATH-500
98.9%
AIME
94%
AIME 2025
90.7%
IFBench
68.7%
τ²-Bench
55.6%
Terminal-Bench Hard
15.2%
Speed
66.7 tok/s
0 tok/s
Latency
137.76s
0s
Intelligence per $
2.7
8.7

Benchmark data by Artificial Analysis.

How Claude Fable 5.1 and o4 Mini score

🤝 Neck and neck on these criteria (2.9 vs 3.1 / 5).
CriterionClaude Fable 5.1o4 Mini
Cost-efficiency2.04.0
Context window5.04.0
Openness1.51.5
Self-hosting1.01.0
Multimodality5.05.0

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

Claude Fable 5.1 Paid

Anthropic · Proprietary

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual...

o4 Mini Paid

OpenAI · Proprietary

OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning...

Other models in these families

These variants are tracked but not compared here — one page per family keeps the comparison readable.

Other variants tracked
o4 Mini Higho4 Mini (batch)

Frequently asked questions

Claude Fable 5.1 vs o4 Mini — which is cheaper?

o4 Mini is cheaper on output ($4.4/M vs $50/M).

Which has the larger context window?

Claude Fable 5.1 offers the larger context window (1M tokens).

Claude Fable 5.1 vs o4 Mini — which should I pick in 2026?

Choose o4 Mini for the lower output price ($4.4/M vs $50/M). Choose Claude Fable 5.1 if you need the larger 1M context window.

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