Amazon Nova Pro: benchmark scores, price and ranking

Amazon Nova Pro from Amazon is a recent or sparsely tested model with 1 benchmark result on record; it has not been measured on enough benchmarks shared with other models to receive an aggregate rank. This page lists every score we have, based on 1 benchmark results captured up to 2026-10-13.

Organisation: Amazon
Type: Frontier model
Open weights: No
Released: 2024-12-03 (source: epoch)
Aggregate rank: Not ranked yet (too few shared benchmarks)

Across the 1 benchmark where at least ten models are scored, Amazon Nova Pro is in the top 10% on 0 and in the top half on 0.

Amazon Nova Pro benchmark results

Amazon Nova Pro benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
Epoch ECI	124	#115 of 204	Epoch AI Benchmarking Hub	2026-10-13

About Amazon Nova Pro

Amazon Nova Pro is a frontier model from Amazon. It was released on 2024-12-03, according to Epoch AI. No API price is listed for it yet. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.

Where Amazon Nova Pro stands

Amazon Nova Pro has 1 result so far and shares too few benchmarks with other models to get an aggregate rank. The rank will appear on its own once more scores are published.

Amazon Nova Pro, benchmark by benchmark

Amazon Nova Pro lands below the middle on Epoch ECI: 124, #115 of 204, with 56% of the field scoring higher. Qwen 3.8 Max leads at 156; the closest result above is DeepSeek-V2 (MoE-236B, May 2024) at 125. It covers Epoch Capabilities Index: Epoch's own aggregate of ~40 benchmarks. The board median is 127, so Amazon Nova Pro is 3 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Release history

The Amazon model released before it was amazon.nova-lite-v1:0 on 2024-12-03, which scores 45.7. The next one was amazon.nova-pro-v1:0 on 2024-12-03, at 46.5.

Reading these numbers

The 1 score on this page comes from 1 source: Epoch AI Benchmarking Hub (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.