AI Models · Paid vs Paid

Claude Fable 5.1 (batch) Paid vs AMNova Pro 1.0 Paid

Claude Fable 5.1 (batch) vs Nova Pro 1.0 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 5.1 (batch)PaidAnthropic
$5 /M input
$25 /M outputManaged API (no infra to run)
TypeProprietary
Context window1M tokens
MultimodalYes
Self-hostNo
AMNova Pro 1.0PaidAmazon
$0.8 /M input
$3.2 /M outputManaged API (no infra to run)
TypeProprietary
Context window300K tokens
MultimodalYes
Self-hostNo
Choose Nova Pro 1.0 for the lower output price ($3.2/M vs $25/M). Choose Claude Fable 5.1 (batch) if you need the larger 1M context window.

Claude Fable 5.1 (batch) vs Nova Pro 1.0 specs

SpecClaude Fable 5.1 (batch)Nova Pro 1.0Winner
MakerAnthropicAmazon
TypeProprietaryProprietary
Context window1M tokens300K tokensClaude Fable 5.1 (batch)
Input price$5/M$0.8/MAMNova Pro 1.0
Output price$25/M$3.2/MAMNova Pro 1.0
Vision / multimodalYesYes= Tie
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

7.8×cheaper per output token

Nova Pro 1.0 is ~7.8× cheaper than Claude Fable 5.1 (batch) on output tokens ($3.2 vs $25 per M tokens).

Choose Claude Fable 5.1 (batch) 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
AMChoose Nova Pro 1.0 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 5.1 (batch)Nova Pro 1.0
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Claude Fable 5.1 (batch) vs Nova Pro 1.0

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

Claude Fable 5.1 (batch)
Nova Pro 1.0
Intelligence index
53.4
Coding index
81.6
GPQA
93.7%
Humanity's Last Exam
59.1%
Long Context Reasoning
85.3%
SciCode
63.1%
τ-Bench Banking
47.2%
Terminal-Bench
91.4%
Speed
66.7 tok/s
Latency
137.76s
Intelligence per $
2.7

Benchmark data by Artificial Analysis.

How Claude Fable 5.1 (batch) and Nova Pro 1.0 score

🤝 Neck and neck on these criteria (3.1 vs 3.1 / 5).
CriterionClaude Fable 5.1 (batch)Nova Pro 1.0
Cost-efficiency3.04.0
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 (batch) 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...

Nova Pro 1.0 Paid

Amazon · Proprietary

Amazon Nova Pro 1.0 is a capable multimodal model from Amazon focused on providing a combination of accuracy, speed, and cost for a wide range of tasks. As of December...

Frequently asked questions

Claude Fable 5.1 (batch) vs Nova Pro 1.0 — which is cheaper?

Nova Pro 1.0 is cheaper on output ($3.2/M vs $25/M).

Which has the larger context window?

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

Claude Fable 5.1 (batch) vs Nova Pro 1.0 — which should I pick in 2026?

Choose Nova Pro 1.0 for the lower output price ($3.2/M vs $25/M). Choose Claude Fable 5.1 (batch) if you need the larger 1M context window.

People also compare

Explore more open-source AI

Browse the full open-source model leaderboard, thousands of tools and live benchmarks — all in one place.

Open the leaderboard →