AI Models · Paid vs Paid

Claude Opus 5 Paid vs AMNova Pro 1.0 Paid

Claude Opus 5 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 Opus 5PaidAnthropic
$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 Opus 5 if you need the larger 1M context window.

Claude Opus 5 vs Nova Pro 1.0 specs

SpecClaude Opus 5Nova Pro 1.0Winner
MakerAnthropicAmazon
TypeProprietaryProprietary
Context window1M tokens300K tokensClaude Opus 5
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 Opus 5 on output tokens ($3.2 vs $25 per M tokens).

Choose Claude Opus 5 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 Opus 5Nova Pro 1.0
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Claude Opus 5 vs Nova Pro 1.0

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

Claude Opus 5
Nova Pro 1.0
Intelligence index
50.7
Coding index
78
GPQA
93.2%
Humanity's Last Exam
54.9%
Long Context Reasoning
79.3%
SciCode
56.4%
τ-Bench Banking
42.1%
Terminal-Bench
89.1%
Speed
61.4 tok/s
Latency
36.03s
Intelligence per $
5.1

Benchmark data by Artificial Analysis.

How Claude Opus 5 and Nova Pro 1.0 score

🤝 Neck and neck on these criteria (3.1 vs 3.1 / 5).
CriterionClaude Opus 5Nova 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 Opus 5 Paid

Anthropic · Proprietary

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis...

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...

Other models in these families

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

Other variants tracked
Claude Opus 5 (batch)Claude Opus 4.8Claude Opus 4.8 (batch)Claude Opus 4.7Claude Opus 4.7 (batch)Claude Opus 4.6Claude Opus 4.6 (batch)Claude Opus 4.5Claude Opus 4.5 (batch)Claude Opus 4.1Claude Opus 4.1 (batch)Claude Opus 4

Frequently asked questions

Claude Opus 5 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 Opus 5 offers the larger context window (1M tokens).

Claude Opus 5 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 Opus 5 if you need the larger 1M context window.

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